SlideShare a Scribd company logo
www.spirent.com
Datum
User Experience Analytics System
for Data Services
Making 4G Faster:
Getting to the Root of Issues
Speed Bumps on the 4G Highway. Most users summarize
the benefits of 4G LTE and LTE-A services in two words: “It’s
faster!” Users expect blazing fast speeds that blow away 3G –
but, the fact is, they don’t always get what they expect. With
unprecedented network and device complexity, a variety of
device, network and application layer issues are reducing the
speed of 4G services for many users.
All Devices Are NOT Created Equal. Device issues trump the
network as a leading cause of impaired data throughput. Our
studies across hundreds of device models show that the worst
performing devices are 60% slower than the best devices (see
Figure 1). The root causes of these issues range from firmware
issues to antenna issues to poor design or IP configuration.
The Network vs. The Device. With unprecedented complexity
and new technologies like carrier aggregation rolling out,
many 4G “speed bumps” originate in the network. At the top
of the network-based root cause list: improperly configured
proxy servers. That’s followed by an array of root causes from
other IP/core network configuration issues to RF interference
to base station configuration issues.
Making 4G Faster with IP Analytics. When we launched Datum
in 2007, our customers needed answers to questions like:
“how does user experience compare across top devices?” and
“is my data service faster than the competition?” Today those
same customers are also asking: “why is a device or service
not performing?” and “what are the IP-related root causes?”
That’s why we created the IP Analytics module for Datum. With
this new capability, Datum significantly accelerates root cause
analysis and helps carriers and device manufacturers make
4G faster than ever before.
Highlights
•	 Measure user experience with a unified approach across all
major mobile OS platforms and PCs
•	 Measure in the lab or the live network
•	 Accelerate root cause analysis of web browsing, file transfer
and multi-service usage issues
•	 Efficiently measure user experience and manage test cases
and data across large numbers of test devices
•	 Pre-test devices to accelerate Spirent Fit4Launch
submissions and carrier acceptance
All Devices Aren’t Created Equal
User Experience Analytics by Spirent
Figure 1: A comparison of live network file download speeds for 23 device
models from 11 device manufacturers. Each device was compared to the
same reference device.
-60% -40% -20% 0% 20% 40%
Device OEM 11
Device OEM 11
Device OEM 11
Device OEM 10
Device OEM 9
Device OEM 8
Device OEM 1
Device OEM 7
Device OEM 5
Device OEM 5
Device OEM 7
Device OEM 6
Device OEM 3
Device OEM 6
Device OEM 7
Device OEM 6
Device OEM 6
Device OEM 6
Device OEM 5
Device OEM 4
Device OEM 3
Device OEM 2
Device OEM 1
Live Network File Download SpeedLive Network File Download Speed
SPIRENT Datum | User Experience Analytics System for Data Services
2 | www.spirent.com
Datum: Experience Analytics for Data
Service and Multi-Service Usage
Use a Consistent Test Approach on Any Mobile Device. Datum
measures user experience with a consistent approach across
any major mobile OS platform or Windows-compatible
portable PC. That enables true apples-to-apples comparisons
of user experience across devices, service providers and
network technologies. Datum’s consistent metrics help
device, network and service teams work together to identify
and solve user experience issues.
Manage the Measurement Process Centrally. Datum’s cloud-
based servers provide a central repository for all test cases,
allowing these to be centrally managed. Furthermore, all test
results are also uploaded to the central repository, enabling
seamless management of user experience measurement
processes across teams or geographic locations.
Define Realistic Use Cases. Datum enables the definition of
use cases (referred to as tests sets) which mimic real-world
user activities such as uploading a picture, downloading a
file attachment, updating social network status or browsing a
website. Each test set consists of one or more of the following
tasks: web browsing, file transfer, streaming data, multi-
service (call and data) and latency test cases. Tasks can be
combined in any order and are highly configurable to match
specific user profiles or scenarios. For example, the following
test set measures the data experience of a young adult user:
Troubleshoot Issues with IP Analytics. After tests are
completed and results are uploaded to the cloud, user
experience metrics may be synchronized with IP logs collected
on the mobile device and/or media server. Users may then
access detailed analytics reports on the combined IP logs
with the following analytics: IP Summary, IP Address Checks,
DNS Checks, IP Fragmentation & QoS Detection, Observed
Maximum Segment Size, IP Throughput Charts, TCP Window
Size Analysis and Application Layer Event Diagram.
User Experience Analytics by Spirent
Datum is part of a suite of systems that provide an unmatched
range of user experience analytics including:
Speech
Call
Web Browsing
File Transfer
Video
Battery Life
Android
Mobile OS support including
Android, Blackberry, Brew,
iOS, Java, WindowsPhone
iOS
WindowsPhone
User Activity Datum Test Case Metrics
Browsing the web
while talking
Start a call, then
load web pages
Web page load time
Watching a video
on YouTube
Download a 10 MB
file over HTTP
File download speed
Posting a photo
to Facebook
Upload a 1 MB file
over HTTP
File upload speed
SPIRENT
www.spirent.com | 3
Datum | User Experience Analytics System for Data Services
Datum System Architecture
Datum Mobile: Data-Only Option. Datum Mobile is an on-
device agent which connects to cloud-based media servers
to initiate data experience tests including HTTP and FTP file
transfers, web page downloads, ping tests and more. The
Datum Mobile app may be downloaded and installed directly
from the relevant app store (iOS, Android or WindowsPhone).
Datum Mobile: Multi-Service Option. For Android devices,
Datum Mobile performs multi-service measurements for
simultaneous voice and data sessions. Metrics include
throughput before, after and during a call and multi-RAB call
performance. Datum Mobile also integrates with Spirent’s
voice experience analytics system, Nomad, to perform multi-
service measurements for all leading mobile OS platforms.
Datum PC. Datum PC is a Windows-compatible software agent
which initiates data experience tests including HTTP and FTP
file transfers, web page downloads, ping tests and more.
Datum PC may be used to test USB data dongles or integrated
wireless or Ethernet capabilities for Windows-compatible PCs.
Datum Cloud. Datum Cloud includes the DatumBase web
portal and repository and Call and Media Servers. DatumBase
is a web-based application, hosted by Spirent, which acts as
a repository for test set definitions and test results and also
as a reporting and analytics web-interface (see IP Analytics).
Call and media servers connect to the Datum Mobile or Datum
PC agent to perform end-to-end data tasks and make calls for
multi-service measurements. For lab-based testing, Datum
Cloud servers are available in a Datum Lab Appliance which
may be deployed within a lab IT network.
IP Analytics Module. The IP Analytics module is accessed
via the DatumBase web-interface. The module uses a
“watermarking” technique to synchronize and combine IP logs
from the device and/or media server with user experience
metrics. An analytics engine produces key troubleshooting
metrics and performs a rule-based analysis of the data to
automatically detect problems. Metrics and problem results
are available via a web-based IP Analytics report.
SPIRENT Datum | User Experience Analytics System for Data Services
AMERICAS 1-800-SPIRENT | +1-818-676-2683 | sales@spirent.com
EUROPE AND THE MIDDLE EAST +44 (0) 1293 767979 | emeainfo@spirent.com
ASIA AND THE PACIFIC +86-10-8518-2539 | salesasia@spirent.com
© 2014 Spirent Communications, Inc. All of the company names and/or brand names and/or product names and/or logos referred to in
this document, in particular the name “Spirent” and its logo device, are either registered trademarks or trademarks pending registration
in accordance with relevant national laws. All rights reserved. Specifications subject to change without notice. Rev. A 01/14
How Does Datum Compare?
Features Datum
In-House
Test
Tools
“Free”
Test
Apps
Network
Engineering
Tools
Commercial solution with global professional support network YES NO NO YES
Consistent test capability across PC and all major mobile OS platforms/devices YES NO NO NO
Comprehensive range of test cases (Web Browsing, Latency, Streaming, File Transfer) YES NO NO NO
Measures call performance with or without concurrent data activity YES NO NO NO
Fully transparent test cases and documented KPI’s YES YES NO YES
Centralized online management, configuration & reporting YES NO NO NO
Centralized real-time access to test results YES NO NO NO
Global network of dedicated test servers YES NO YES NO
Full access to server-side IP logs for troubleshooting/analysis YES YES NO NO
Access to detailed troubleshooting parameters (location, RAT, IP addresses, etc.) YES NO NO YES
Access to data performance troubleshooting expertise YES NO NO NO
Unified management of field and lab testing YES NO NO NO
Datum IP Analysis Report
Version 1.0.0.58 Generated (UTC) 2014-01-23 20:20:57
Summary Information
Datum Configuration Summary
Project Name: Example 1 - PC TCP Scaling
Test-Set Name: 25MB-Upload
Datum Task Name: FTP_UPLOAD
Datum Device ID/IMEI: NoRegistrySettings
Stream ID: 1bfbdd69-067a-4eb5-9e77-6db821ae43b3
Test Start Time (UTC): 2013-12-17T18:20:59.057
Reported Device: Not Found Not Found
Datum Mobile Test Results
Measured Throughput (kbps)
4723.53 kbps — PASS ( > 200.0 kbps)
IP Summary
IP Summary (Media Server IP Log)
Media Server IP Address: 216.157.111.6
IP Lookup Details:
Host: 216.157.111.6
Country: United States (US)
Device/Network Gateway/Proxy IP Address: 173.8.5.209
IP Lookup Details:
Host: 173.8.5.209
Country: United States (US)
IP Summary (Device IP Log)
Media Server IP Address: 216.157.111.6
Device IP Address: 10.33.100.125
Source Data Download
Download Media Server PCAP File for Test (MS_SAVE_216.157.111.6_1bfbdd69-067a-4eb5-9e77-6db821ae43b3.pcap)
Download Device PCAP File for Test (MD_SAVE_216.157.111.6_1bfbdd69-067a-4eb5-9e77-6db821ae43b3.pcap)
Download Datum Result File (https://trial-datum.metricowireless.com/AlphaDemo/Download.aspx?type=result&id=4e331f20-4867-e311-b53a-
003048fb86fb)
Download Datum Test-Set File (https://trial-datum.metricowireless.com/AlphaDemo/Download.aspx?type=testset&id=f8d85c63-4e63-e311-
b53a-003048fb86fb)
IP Address Checks
Network Address Translation (NAT) Detected: YES
Source IP Address From Media Server Log: 173.8.5.209
Source IP Address From Device Log: 10.33.100.125
Device IP Address Routable: NO
Local Device IP Address: 10.33.100.125
DNS Checks
DNS Lookup Observed: NO
FTP User-Level Throughput
FTP User-Level Throughput From Media Server Log (Mbps): 4.696
FTP User-Level Throughput From Device Log (Mbps): 4.695
Time to generate report: 56.97 second(s).
IP Analyses
IP Fragmentation Detected: NO
IP QoS Detected: YES
IP QoS Not Found in Media Server IP Log
IP QoS Found in Device IP Log
Observed Maximum Segment Size
Maximum Segment Size from Media Server (bytes): 1460
Maximum Segment Size from Mobile Device (bytes): 1380
IP Throughput Charts
Data Flow Summary
Media Server IP Log Data Flow Table
Device Server Type Bytes TX Bytes
RX
Bytes bps TX bps RX bps start duration
173.8.5.209:64599 216.157.111.6:21 TCP 1,977 961 1,016 352 171 181 0.000 44.8998
173.8.5.209:64603 216.157.111.6:2150 TCP 27,913,792 27,347,134 566,658 5,027,270 4,925,215 102,055 0.256 44.4198
Device IP Log Data Flow Table
Device Server Type Bytes TX Bytes
RX
Bytes bps TX bps RX bps start duration
10.33.100.125:64599 216.157.111.6:21 TCP 1,899 931 968 338 166 172 0.000 44.9031
10.33.100.125:64603 216.157.111.6:2150 TCP 27,983,046 27,353,646 629,400 5,040,015 4,926,654 113,361 0.259 44.4174
Example Outputs

More Related Content

What's hot

CM7brochure
CM7brochureCM7brochure
CM7brochure
Andrew Lloyd
 
Review
ReviewReview
Visualizing Your Network Health - Know your Network
Visualizing Your Network Health - Know your NetworkVisualizing Your Network Health - Know your Network
Visualizing Your Network Health - Know your Network
DellNMS
 
E G Innovations Vdi Monitoring
E G Innovations Vdi MonitoringE G Innovations Vdi Monitoring
E G Innovations Vdi Monitoring
ElisaBerneyBrown
 
The Broken Promise of Test Automation: Why are we still hand-cranking tests?
The Broken Promise of Test Automation: Why are we still hand-cranking tests?The Broken Promise of Test Automation: Why are we still hand-cranking tests?
The Broken Promise of Test Automation: Why are we still hand-cranking tests?
Curiosity Software Ireland
 
Curiosity and Sauce Labs present - When to stop testing: 3 dimensions of test...
Curiosity and Sauce Labs present - When to stop testing: 3 dimensions of test...Curiosity and Sauce Labs present - When to stop testing: 3 dimensions of test...
Curiosity and Sauce Labs present - When to stop testing: 3 dimensions of test...
Curiosity Software Ireland
 
Implement Combinatorial Test Patterns for Better Mobile and IoT Testing
Implement Combinatorial Test Patterns for Better Mobile and IoT TestingImplement Combinatorial Test Patterns for Better Mobile and IoT Testing
Implement Combinatorial Test Patterns for Better Mobile and IoT Testing
Josiah Renaudin
 
Exposing and Fixing Common App Performance Problems
Exposing and Fixing Common App Performance ProblemsExposing and Fixing Common App Performance Problems
Exposing and Fixing Common App Performance Problems
Riverbed Technology
 
Five reasons to model during QA
Five reasons to model during QAFive reasons to model during QA
Five reasons to model during QA
Curiosity Software Ireland
 
SteelCentral NetSensor 3.0
SteelCentral NetSensor 3.0SteelCentral NetSensor 3.0
SteelCentral NetSensor 3.0
Riverbed Technology
 
Development Has Moved On: Test data needs to catch up with containers
Development Has Moved On: Test data needs to catch up with containersDevelopment Has Moved On: Test data needs to catch up with containers
Development Has Moved On: Test data needs to catch up with containers
Curiosity Software Ireland
 
Ensuring the compliance, resiliency, and availability of business-critical ne...
Ensuring the compliance, resiliency, and availability of business-critical ne...Ensuring the compliance, resiliency, and availability of business-critical ne...
Ensuring the compliance, resiliency, and availability of business-critical ne...
Riverbed Technology
 
Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...
Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...
Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...
Cognizant
 
A Year of “Testing” the Cloud for Development and Test
A Year of “Testing” the Cloud for Development and TestA Year of “Testing” the Cloud for Development and Test
A Year of “Testing” the Cloud for Development and Test
TechWell
 
Service Virtualization: What Testers Need to Know
Service Virtualization: What Testers Need to KnowService Virtualization: What Testers Need to Know
Service Virtualization: What Testers Need to Know
TechWell
 
Servicing Financial Services Applications
Servicing Financial Services ApplicationsServicing Financial Services Applications
Servicing Financial Services Applications
Shashi Kiran
 
Suffering from “Franken” Monitoring?
Suffering from “Franken” Monitoring?Suffering from “Franken” Monitoring?
Suffering from “Franken” Monitoring?
Riverbed Technology
 
Emergent architecture- a casestudy TREDS
Emergent architecture- a casestudy TREDSEmergent architecture- a casestudy TREDS
Emergent architecture- a casestudy TREDS
Syed Rayhan
 
Cascade
CascadeCascade
Test Automation NYC 2014
Test Automation NYC 2014Test Automation NYC 2014
Test Automation NYC 2014
Kishore Bhatia
 

What's hot (20)

CM7brochure
CM7brochureCM7brochure
CM7brochure
 
Review
ReviewReview
Review
 
Visualizing Your Network Health - Know your Network
Visualizing Your Network Health - Know your NetworkVisualizing Your Network Health - Know your Network
Visualizing Your Network Health - Know your Network
 
E G Innovations Vdi Monitoring
E G Innovations Vdi MonitoringE G Innovations Vdi Monitoring
E G Innovations Vdi Monitoring
 
The Broken Promise of Test Automation: Why are we still hand-cranking tests?
The Broken Promise of Test Automation: Why are we still hand-cranking tests?The Broken Promise of Test Automation: Why are we still hand-cranking tests?
The Broken Promise of Test Automation: Why are we still hand-cranking tests?
 
Curiosity and Sauce Labs present - When to stop testing: 3 dimensions of test...
Curiosity and Sauce Labs present - When to stop testing: 3 dimensions of test...Curiosity and Sauce Labs present - When to stop testing: 3 dimensions of test...
Curiosity and Sauce Labs present - When to stop testing: 3 dimensions of test...
 
Implement Combinatorial Test Patterns for Better Mobile and IoT Testing
Implement Combinatorial Test Patterns for Better Mobile and IoT TestingImplement Combinatorial Test Patterns for Better Mobile and IoT Testing
Implement Combinatorial Test Patterns for Better Mobile and IoT Testing
 
Exposing and Fixing Common App Performance Problems
Exposing and Fixing Common App Performance ProblemsExposing and Fixing Common App Performance Problems
Exposing and Fixing Common App Performance Problems
 
Five reasons to model during QA
Five reasons to model during QAFive reasons to model during QA
Five reasons to model during QA
 
SteelCentral NetSensor 3.0
SteelCentral NetSensor 3.0SteelCentral NetSensor 3.0
SteelCentral NetSensor 3.0
 
Development Has Moved On: Test data needs to catch up with containers
Development Has Moved On: Test data needs to catch up with containersDevelopment Has Moved On: Test data needs to catch up with containers
Development Has Moved On: Test data needs to catch up with containers
 
Ensuring the compliance, resiliency, and availability of business-critical ne...
Ensuring the compliance, resiliency, and availability of business-critical ne...Ensuring the compliance, resiliency, and availability of business-critical ne...
Ensuring the compliance, resiliency, and availability of business-critical ne...
 
Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...
Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...
Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...
 
A Year of “Testing” the Cloud for Development and Test
A Year of “Testing” the Cloud for Development and TestA Year of “Testing” the Cloud for Development and Test
A Year of “Testing” the Cloud for Development and Test
 
Service Virtualization: What Testers Need to Know
Service Virtualization: What Testers Need to KnowService Virtualization: What Testers Need to Know
Service Virtualization: What Testers Need to Know
 
Servicing Financial Services Applications
Servicing Financial Services ApplicationsServicing Financial Services Applications
Servicing Financial Services Applications
 
Suffering from “Franken” Monitoring?
Suffering from “Franken” Monitoring?Suffering from “Franken” Monitoring?
Suffering from “Franken” Monitoring?
 
Emergent architecture- a casestudy TREDS
Emergent architecture- a casestudy TREDSEmergent architecture- a casestudy TREDS
Emergent architecture- a casestudy TREDS
 
Cascade
CascadeCascade
Cascade
 
Test Automation NYC 2014
Test Automation NYC 2014Test Automation NYC 2014
Test Automation NYC 2014
 

Viewers also liked

Méthodologies des Nouveaux Médias Séance 02
Méthodologies des Nouveaux Médias Séance 02Méthodologies des Nouveaux Médias Séance 02
Méthodologies des Nouveaux Médias Séance 02
Everardo Reyes-García
 
Pechakucha (1)
Pechakucha (1)Pechakucha (1)
Pechakucha (1)
delialat97
 
Pureprofile Overview 2011
Pureprofile Overview 2011Pureprofile Overview 2011
Pureprofile Overview 2011
rorymurph
 
Social Media for Effective Networking and Knowledge-building Capabilities
Social Media for Effective Networking and Knowledge-building CapabilitiesSocial Media for Effective Networking and Knowledge-building Capabilities
Social Media for Effective Networking and Knowledge-building Capabilities
Joe Kovacs APR
 
Materiales e insumos_para_pcs2
Materiales e insumos_para_pcs2Materiales e insumos_para_pcs2
Materiales e insumos_para_pcs2
valenciadaniela
 
The Dobrovat church
The Dobrovat churchThe Dobrovat church
The Dobrovat church
iulianaas
 
Presentation sindhujaconsultants
Presentation sindhujaconsultantsPresentation sindhujaconsultants
Presentation sindhujaconsultants
Prasad Ch.S.
 
Hul
HulHul
Twitter
TwitterTwitter
Twitter
tefalozano
 

Viewers also liked (11)

Méthodologies des Nouveaux Médias Séance 02
Méthodologies des Nouveaux Médias Séance 02Méthodologies des Nouveaux Médias Séance 02
Méthodologies des Nouveaux Médias Séance 02
 
Pechakucha (1)
Pechakucha (1)Pechakucha (1)
Pechakucha (1)
 
Pureprofile Overview 2011
Pureprofile Overview 2011Pureprofile Overview 2011
Pureprofile Overview 2011
 
Social Media for Effective Networking and Knowledge-building Capabilities
Social Media for Effective Networking and Knowledge-building CapabilitiesSocial Media for Effective Networking and Knowledge-building Capabilities
Social Media for Effective Networking and Knowledge-building Capabilities
 
Materiales e insumos_para_pcs2
Materiales e insumos_para_pcs2Materiales e insumos_para_pcs2
Materiales e insumos_para_pcs2
 
Attorney
AttorneyAttorney
Attorney
 
The Dobrovat church
The Dobrovat churchThe Dobrovat church
The Dobrovat church
 
Presentation sindhujaconsultants
Presentation sindhujaconsultantsPresentation sindhujaconsultants
Presentation sindhujaconsultants
 
Hul
HulHul
Hul
 
Twitter
TwitterTwitter
Twitter
 
pw
pwpw
pw
 

Similar to Spirent: Datum User Experience Analytics System

Splunk MINT for Mobile Intelligence and Splunk App for Stream for Enhanced Op...
Splunk MINT for Mobile Intelligence and Splunk App for Stream for Enhanced Op...Splunk MINT for Mobile Intelligence and Splunk App for Stream for Enhanced Op...
Splunk MINT for Mobile Intelligence and Splunk App for Stream for Enhanced Op...
Splunk
 
What’s New: Splunk App for Stream and Splunk MINT
What’s New: Splunk App for Stream and Splunk MINTWhat’s New: Splunk App for Stream and Splunk MINT
What’s New: Splunk App for Stream and Splunk MINT
Splunk
 
Testing a GPS application | Testbytes
Testing a GPS application | TestbytesTesting a GPS application | Testbytes
Testing a GPS application | Testbytes
Testbytes
 
eG Innovations
eG InnovationseG Innovations
eG Innovations
janejarvella
 
Magical Performance tuning with Gomez
Magical Performance tuning with GomezMagical Performance tuning with Gomez
Magical Performance tuning with Gomez
mcsaha
 
SANJAY_SINGH
SANJAY_SINGHSANJAY_SINGH
SANJAY_SINGH
SANJAY SINGH
 
E-Score Data Management system on mobiles to survey the electrical usage
E-Score Data Management system on mobiles to survey the electrical usageE-Score Data Management system on mobiles to survey the electrical usage
E-Score Data Management system on mobiles to survey the electrical usage
Mike Taylor
 
How Utilities can Improve Operations using Data Integration Workflows
How Utilities can Improve Operations using Data Integration WorkflowsHow Utilities can Improve Operations using Data Integration Workflows
How Utilities can Improve Operations using Data Integration Workflows
Safe Software
 
The Best of Both Worlds - Combining Performance and Functional Mobile App Tes...
The Best of Both Worlds - Combining Performance and Functional Mobile App Tes...The Best of Both Worlds - Combining Performance and Functional Mobile App Tes...
The Best of Both Worlds - Combining Performance and Functional Mobile App Tes...
Bitbar
 
Performance Evaluation of a Network Using Simulation Tools or Packet Tracer
Performance Evaluation of a Network Using Simulation Tools or Packet TracerPerformance Evaluation of a Network Using Simulation Tools or Packet Tracer
Performance Evaluation of a Network Using Simulation Tools or Packet Tracer
IOSRjournaljce
 
Encontrando la Aguja en el Rendimiento de Aplicaciones
Encontrando la Aguja en el Rendimiento de AplicacionesEncontrando la Aguja en el Rendimiento de Aplicaciones
Encontrando la Aguja en el Rendimiento de Aplicaciones
Software Guru
 
Performance testing : An Overview
Performance testing : An OverviewPerformance testing : An Overview
Performance testing : An Overview
sharadkjain
 
Experitest & Wipro Co-Webinar
Experitest & Wipro Co-Webinar Experitest & Wipro Co-Webinar
Experitest & Wipro Co-Webinar
Experitest
 
Best Practices In Load And Stress Testing Cmg Seminar[1]
Best Practices In Load And Stress Testing Cmg Seminar[1]Best Practices In Load And Stress Testing Cmg Seminar[1]
Best Practices In Load And Stress Testing Cmg Seminar[1]
Munirathnam Naidu
 
SV Training Intro - 20181129 4.pptx
SV Training Intro - 20181129 4.pptxSV Training Intro - 20181129 4.pptx
SV Training Intro - 20181129 4.pptx
CAIKYPALLETAMOURALIM
 
Webinar: Automate Your Environment Provisioning for Mobile App Development
Webinar: Automate Your Environment Provisioning for Mobile App Development Webinar: Automate Your Environment Provisioning for Mobile App Development
Webinar: Automate Your Environment Provisioning for Mobile App Development
Skytap Cloud
 
Innovate 2013 session 1243 mobile testing.v3
Innovate 2013   session 1243 mobile testing.v3Innovate 2013   session 1243 mobile testing.v3
Innovate 2013 session 1243 mobile testing.v3
Leigh Williamson
 
RTI Data-Distribution Service (DDS) Master Class 2011
RTI Data-Distribution Service (DDS) Master Class 2011RTI Data-Distribution Service (DDS) Master Class 2011
RTI Data-Distribution Service (DDS) Master Class 2011
Gerardo Pardo-Castellote
 
Resume
ResumeResume
127801976 mobile-shop-management-system-documentation
127801976 mobile-shop-management-system-documentation127801976 mobile-shop-management-system-documentation
127801976 mobile-shop-management-system-documentation
Nitesh Kumar
 

Similar to Spirent: Datum User Experience Analytics System (20)

Splunk MINT for Mobile Intelligence and Splunk App for Stream for Enhanced Op...
Splunk MINT for Mobile Intelligence and Splunk App for Stream for Enhanced Op...Splunk MINT for Mobile Intelligence and Splunk App for Stream for Enhanced Op...
Splunk MINT for Mobile Intelligence and Splunk App for Stream for Enhanced Op...
 
What’s New: Splunk App for Stream and Splunk MINT
What’s New: Splunk App for Stream and Splunk MINTWhat’s New: Splunk App for Stream and Splunk MINT
What’s New: Splunk App for Stream and Splunk MINT
 
Testing a GPS application | Testbytes
Testing a GPS application | TestbytesTesting a GPS application | Testbytes
Testing a GPS application | Testbytes
 
eG Innovations
eG InnovationseG Innovations
eG Innovations
 
Magical Performance tuning with Gomez
Magical Performance tuning with GomezMagical Performance tuning with Gomez
Magical Performance tuning with Gomez
 
SANJAY_SINGH
SANJAY_SINGHSANJAY_SINGH
SANJAY_SINGH
 
E-Score Data Management system on mobiles to survey the electrical usage
E-Score Data Management system on mobiles to survey the electrical usageE-Score Data Management system on mobiles to survey the electrical usage
E-Score Data Management system on mobiles to survey the electrical usage
 
How Utilities can Improve Operations using Data Integration Workflows
How Utilities can Improve Operations using Data Integration WorkflowsHow Utilities can Improve Operations using Data Integration Workflows
How Utilities can Improve Operations using Data Integration Workflows
 
The Best of Both Worlds - Combining Performance and Functional Mobile App Tes...
The Best of Both Worlds - Combining Performance and Functional Mobile App Tes...The Best of Both Worlds - Combining Performance and Functional Mobile App Tes...
The Best of Both Worlds - Combining Performance and Functional Mobile App Tes...
 
Performance Evaluation of a Network Using Simulation Tools or Packet Tracer
Performance Evaluation of a Network Using Simulation Tools or Packet TracerPerformance Evaluation of a Network Using Simulation Tools or Packet Tracer
Performance Evaluation of a Network Using Simulation Tools or Packet Tracer
 
Encontrando la Aguja en el Rendimiento de Aplicaciones
Encontrando la Aguja en el Rendimiento de AplicacionesEncontrando la Aguja en el Rendimiento de Aplicaciones
Encontrando la Aguja en el Rendimiento de Aplicaciones
 
Performance testing : An Overview
Performance testing : An OverviewPerformance testing : An Overview
Performance testing : An Overview
 
Experitest & Wipro Co-Webinar
Experitest & Wipro Co-Webinar Experitest & Wipro Co-Webinar
Experitest & Wipro Co-Webinar
 
Best Practices In Load And Stress Testing Cmg Seminar[1]
Best Practices In Load And Stress Testing Cmg Seminar[1]Best Practices In Load And Stress Testing Cmg Seminar[1]
Best Practices In Load And Stress Testing Cmg Seminar[1]
 
SV Training Intro - 20181129 4.pptx
SV Training Intro - 20181129 4.pptxSV Training Intro - 20181129 4.pptx
SV Training Intro - 20181129 4.pptx
 
Webinar: Automate Your Environment Provisioning for Mobile App Development
Webinar: Automate Your Environment Provisioning for Mobile App Development Webinar: Automate Your Environment Provisioning for Mobile App Development
Webinar: Automate Your Environment Provisioning for Mobile App Development
 
Innovate 2013 session 1243 mobile testing.v3
Innovate 2013   session 1243 mobile testing.v3Innovate 2013   session 1243 mobile testing.v3
Innovate 2013 session 1243 mobile testing.v3
 
RTI Data-Distribution Service (DDS) Master Class 2011
RTI Data-Distribution Service (DDS) Master Class 2011RTI Data-Distribution Service (DDS) Master Class 2011
RTI Data-Distribution Service (DDS) Master Class 2011
 
Resume
ResumeResume
Resume
 
127801976 mobile-shop-management-system-documentation
127801976 mobile-shop-management-system-documentation127801976 mobile-shop-management-system-documentation
127801976 mobile-shop-management-system-documentation
 

More from Sailaja Tennati

Retail Transformation Begins with a Unified Commerce Platfrom.pdf
Retail Transformation Begins with a Unified Commerce Platfrom.pdfRetail Transformation Begins with a Unified Commerce Platfrom.pdf
Retail Transformation Begins with a Unified Commerce Platfrom.pdf
Sailaja Tennati
 
IEEE Buenaventura cs Chapter March 9 2016 v4
IEEE Buenaventura cs Chapter March 9 2016  v4IEEE Buenaventura cs Chapter March 9 2016  v4
IEEE Buenaventura cs Chapter March 9 2016 v4
Sailaja Tennati
 
Spirent Accelerating SDN and NFV Deployments
Spirent Accelerating SDN and NFV DeploymentsSpirent Accelerating SDN and NFV Deployments
Spirent Accelerating SDN and NFV Deployments
Sailaja Tennati
 
Spirent: The Internet of Things: The Expanded Security Perimeter
Spirent: The Internet of Things:  The Expanded Security Perimeter Spirent: The Internet of Things:  The Expanded Security Perimeter
Spirent: The Internet of Things: The Expanded Security Perimeter
Sailaja Tennati
 
Spirent's Study on Battery life Competition: Samsung S5 vs. S4
Spirent's Study on Battery life Competition: Samsung S5 vs. S4Spirent's Study on Battery life Competition: Samsung S5 vs. S4
Spirent's Study on Battery life Competition: Samsung S5 vs. S4
Sailaja Tennati
 
DevOps Continuous Testing and LaaS – The Perfect Match for SDN
DevOps Continuous Testing and LaaS – The Perfect Match for SDNDevOps Continuous Testing and LaaS – The Perfect Match for SDN
DevOps Continuous Testing and LaaS – The Perfect Match for SDN
Sailaja Tennati
 
Best Practices for Accelerating Continuous Testing
Best Practices for Accelerating Continuous TestingBest Practices for Accelerating Continuous Testing
Best Practices for Accelerating Continuous Testing
Sailaja Tennati
 
DevOps – what is it? Why? Is it real? How to do it?
DevOps – what is it? Why? Is it real? How to do it?DevOps – what is it? Why? Is it real? How to do it?
DevOps – what is it? Why? Is it real? How to do it?
Sailaja Tennati
 
Case Study - Implementing DevOps for a complex hardware/software-based networ...
Case Study - Implementing DevOps for a complex hardware/software-based networ...Case Study - Implementing DevOps for a complex hardware/software-based networ...
Case Study - Implementing DevOps for a complex hardware/software-based networ...
Sailaja Tennati
 
DevOps Summit 2015 Presentation: Continuous Testing At the Speed of DevOps
DevOps Summit 2015 Presentation: Continuous Testing At the Speed of DevOpsDevOps Summit 2015 Presentation: Continuous Testing At the Speed of DevOps
DevOps Summit 2015 Presentation: Continuous Testing At the Speed of DevOps
Sailaja Tennati
 
GNSS Receivers and the Cyber Threat
GNSS Receivers and the Cyber ThreatGNSS Receivers and the Cyber Threat
GNSS Receivers and the Cyber Threat
Sailaja Tennati
 
VoLTE Testing Explained
VoLTE Testing ExplainedVoLTE Testing Explained
VoLTE Testing Explained
Sailaja Tennati
 
Ensuring the User Experience for Global Mobile Device Launches
Ensuring the User Experience for Global Mobile Device LaunchesEnsuring the User Experience for Global Mobile Device Launches
Ensuring the User Experience for Global Mobile Device Launches
Sailaja Tennati
 
Testing Network Routers for Extreme Scale and Performance
Testing Network Routers for Extreme Scale and Performance Testing Network Routers for Extreme Scale and Performance
Testing Network Routers for Extreme Scale and Performance
Sailaja Tennati
 
Spirent 400G Ethernet Test Solution - A Technical Overview
Spirent 400G Ethernet Test Solution - A Technical OverviewSpirent 400G Ethernet Test Solution - A Technical Overview
Spirent 400G Ethernet Test Solution - A Technical Overview
Sailaja Tennati
 
ICSA Presents: Scalable Performance Testing - How Spirent Makes That Possible
ICSA Presents: Scalable Performance Testing - How Spirent Makes That PossibleICSA Presents: Scalable Performance Testing - How Spirent Makes That Possible
ICSA Presents: Scalable Performance Testing - How Spirent Makes That Possible
Sailaja Tennati
 
Spirent Communications - Networking Field Day Presentation 6 - Sept. 2013
Spirent Communications - Networking Field Day Presentation 6 - Sept. 2013Spirent Communications - Networking Field Day Presentation 6 - Sept. 2013
Spirent Communications - Networking Field Day Presentation 6 - Sept. 2013
Sailaja Tennati
 
App-Aware Security Testing with Spirent Avalanche NEXT
App-Aware Security Testing with Spirent Avalanche NEXTApp-Aware Security Testing with Spirent Avalanche NEXT
App-Aware Security Testing with Spirent Avalanche NEXT
Sailaja Tennati
 
The VoLTE User Experience--Better or Worse
The VoLTE User Experience--Better or WorseThe VoLTE User Experience--Better or Worse
The VoLTE User Experience--Better or Worse
Sailaja Tennati
 
Advanced Security Testing in the Age of Cyber War
Advanced Security Testing in the Age of Cyber WarAdvanced Security Testing in the Age of Cyber War
Advanced Security Testing in the Age of Cyber War
Sailaja Tennati
 

More from Sailaja Tennati (20)

Retail Transformation Begins with a Unified Commerce Platfrom.pdf
Retail Transformation Begins with a Unified Commerce Platfrom.pdfRetail Transformation Begins with a Unified Commerce Platfrom.pdf
Retail Transformation Begins with a Unified Commerce Platfrom.pdf
 
IEEE Buenaventura cs Chapter March 9 2016 v4
IEEE Buenaventura cs Chapter March 9 2016  v4IEEE Buenaventura cs Chapter March 9 2016  v4
IEEE Buenaventura cs Chapter March 9 2016 v4
 
Spirent Accelerating SDN and NFV Deployments
Spirent Accelerating SDN and NFV DeploymentsSpirent Accelerating SDN and NFV Deployments
Spirent Accelerating SDN and NFV Deployments
 
Spirent: The Internet of Things: The Expanded Security Perimeter
Spirent: The Internet of Things:  The Expanded Security Perimeter Spirent: The Internet of Things:  The Expanded Security Perimeter
Spirent: The Internet of Things: The Expanded Security Perimeter
 
Spirent's Study on Battery life Competition: Samsung S5 vs. S4
Spirent's Study on Battery life Competition: Samsung S5 vs. S4Spirent's Study on Battery life Competition: Samsung S5 vs. S4
Spirent's Study on Battery life Competition: Samsung S5 vs. S4
 
DevOps Continuous Testing and LaaS – The Perfect Match for SDN
DevOps Continuous Testing and LaaS – The Perfect Match for SDNDevOps Continuous Testing and LaaS – The Perfect Match for SDN
DevOps Continuous Testing and LaaS – The Perfect Match for SDN
 
Best Practices for Accelerating Continuous Testing
Best Practices for Accelerating Continuous TestingBest Practices for Accelerating Continuous Testing
Best Practices for Accelerating Continuous Testing
 
DevOps – what is it? Why? Is it real? How to do it?
DevOps – what is it? Why? Is it real? How to do it?DevOps – what is it? Why? Is it real? How to do it?
DevOps – what is it? Why? Is it real? How to do it?
 
Case Study - Implementing DevOps for a complex hardware/software-based networ...
Case Study - Implementing DevOps for a complex hardware/software-based networ...Case Study - Implementing DevOps for a complex hardware/software-based networ...
Case Study - Implementing DevOps for a complex hardware/software-based networ...
 
DevOps Summit 2015 Presentation: Continuous Testing At the Speed of DevOps
DevOps Summit 2015 Presentation: Continuous Testing At the Speed of DevOpsDevOps Summit 2015 Presentation: Continuous Testing At the Speed of DevOps
DevOps Summit 2015 Presentation: Continuous Testing At the Speed of DevOps
 
GNSS Receivers and the Cyber Threat
GNSS Receivers and the Cyber ThreatGNSS Receivers and the Cyber Threat
GNSS Receivers and the Cyber Threat
 
VoLTE Testing Explained
VoLTE Testing ExplainedVoLTE Testing Explained
VoLTE Testing Explained
 
Ensuring the User Experience for Global Mobile Device Launches
Ensuring the User Experience for Global Mobile Device LaunchesEnsuring the User Experience for Global Mobile Device Launches
Ensuring the User Experience for Global Mobile Device Launches
 
Testing Network Routers for Extreme Scale and Performance
Testing Network Routers for Extreme Scale and Performance Testing Network Routers for Extreme Scale and Performance
Testing Network Routers for Extreme Scale and Performance
 
Spirent 400G Ethernet Test Solution - A Technical Overview
Spirent 400G Ethernet Test Solution - A Technical OverviewSpirent 400G Ethernet Test Solution - A Technical Overview
Spirent 400G Ethernet Test Solution - A Technical Overview
 
ICSA Presents: Scalable Performance Testing - How Spirent Makes That Possible
ICSA Presents: Scalable Performance Testing - How Spirent Makes That PossibleICSA Presents: Scalable Performance Testing - How Spirent Makes That Possible
ICSA Presents: Scalable Performance Testing - How Spirent Makes That Possible
 
Spirent Communications - Networking Field Day Presentation 6 - Sept. 2013
Spirent Communications - Networking Field Day Presentation 6 - Sept. 2013Spirent Communications - Networking Field Day Presentation 6 - Sept. 2013
Spirent Communications - Networking Field Day Presentation 6 - Sept. 2013
 
App-Aware Security Testing with Spirent Avalanche NEXT
App-Aware Security Testing with Spirent Avalanche NEXTApp-Aware Security Testing with Spirent Avalanche NEXT
App-Aware Security Testing with Spirent Avalanche NEXT
 
The VoLTE User Experience--Better or Worse
The VoLTE User Experience--Better or WorseThe VoLTE User Experience--Better or Worse
The VoLTE User Experience--Better or Worse
 
Advanced Security Testing in the Age of Cyber War
Advanced Security Testing in the Age of Cyber WarAdvanced Security Testing in the Age of Cyber War
Advanced Security Testing in the Age of Cyber War
 

Recently uploaded

BLOCKCHAIN FOR DUMMIES: GUIDEBOOK FOR ALL
BLOCKCHAIN FOR DUMMIES: GUIDEBOOK FOR ALLBLOCKCHAIN FOR DUMMIES: GUIDEBOOK FOR ALL
BLOCKCHAIN FOR DUMMIES: GUIDEBOOK FOR ALL
Liveplex
 
20240705 QFM024 Irresponsible AI Reading List June 2024
20240705 QFM024 Irresponsible AI Reading List June 202420240705 QFM024 Irresponsible AI Reading List June 2024
20240705 QFM024 Irresponsible AI Reading List June 2024
Matthew Sinclair
 
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsScaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Mydbops
 
Mitigating the Impact of State Management in Cloud Stream Processing Systems
Mitigating the Impact of State Management in Cloud Stream Processing SystemsMitigating the Impact of State Management in Cloud Stream Processing Systems
Mitigating the Impact of State Management in Cloud Stream Processing Systems
ScyllaDB
 
Best Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdfBest Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdf
Tatiana Al-Chueyr
 
Observability For You and Me with OpenTelemetry
Observability For You and Me with OpenTelemetryObservability For You and Me with OpenTelemetry
Observability For You and Me with OpenTelemetry
Eric D. Schabell
 
Transcript: Details of description part II: Describing images in practice - T...
Transcript: Details of description part II: Describing images in practice - T...Transcript: Details of description part II: Describing images in practice - T...
Transcript: Details of description part II: Describing images in practice - T...
BookNet Canada
 
UiPath Community Day Kraków: Devs4Devs Conference
UiPath Community Day Kraków: Devs4Devs ConferenceUiPath Community Day Kraków: Devs4Devs Conference
UiPath Community Day Kraków: Devs4Devs Conference
UiPathCommunity
 
How Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdfHow Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdf
HackersList
 
Coordinate Systems in FME 101 - Webinar Slides
Coordinate Systems in FME 101 - Webinar SlidesCoordinate Systems in FME 101 - Webinar Slides
Coordinate Systems in FME 101 - Webinar Slides
Safe Software
 
20240704 QFM023 Engineering Leadership Reading List June 2024
20240704 QFM023 Engineering Leadership Reading List June 202420240704 QFM023 Engineering Leadership Reading List June 2024
20240704 QFM023 Engineering Leadership Reading List June 2024
Matthew Sinclair
 
20240702 Présentation Plateforme GenAI.pdf
20240702 Présentation Plateforme GenAI.pdf20240702 Présentation Plateforme GenAI.pdf
20240702 Présentation Plateforme GenAI.pdf
Sally Laouacheria
 
20240702 QFM021 Machine Intelligence Reading List June 2024
20240702 QFM021 Machine Intelligence Reading List June 202420240702 QFM021 Machine Intelligence Reading List June 2024
20240702 QFM021 Machine Intelligence Reading List June 2024
Matthew Sinclair
 
Cookies program to display the information though cookie creation
Cookies program to display the information though cookie creationCookies program to display the information though cookie creation
Cookies program to display the information though cookie creation
shanthidl1
 
The Rise of Supernetwork Data Intensive Computing
The Rise of Supernetwork Data Intensive ComputingThe Rise of Supernetwork Data Intensive Computing
The Rise of Supernetwork Data Intensive Computing
Larry Smarr
 
Manual | Product | Research Presentation
Manual | Product | Research PresentationManual | Product | Research Presentation
Manual | Product | Research Presentation
welrejdoall
 
Recent Advancements in the NIST-JARVIS Infrastructure
Recent Advancements in the NIST-JARVIS InfrastructureRecent Advancements in the NIST-JARVIS Infrastructure
Recent Advancements in the NIST-JARVIS Infrastructure
KAMAL CHOUDHARY
 
Pigging Solutions Sustainability brochure.pdf
Pigging Solutions Sustainability brochure.pdfPigging Solutions Sustainability brochure.pdf
Pigging Solutions Sustainability brochure.pdf
Pigging Solutions
 
WPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide DeckWPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide Deck
Lidia A.
 
Best Programming Language for Civil Engineers
Best Programming Language for Civil EngineersBest Programming Language for Civil Engineers
Best Programming Language for Civil Engineers
Awais Yaseen
 

Recently uploaded (20)

BLOCKCHAIN FOR DUMMIES: GUIDEBOOK FOR ALL
BLOCKCHAIN FOR DUMMIES: GUIDEBOOK FOR ALLBLOCKCHAIN FOR DUMMIES: GUIDEBOOK FOR ALL
BLOCKCHAIN FOR DUMMIES: GUIDEBOOK FOR ALL
 
20240705 QFM024 Irresponsible AI Reading List June 2024
20240705 QFM024 Irresponsible AI Reading List June 202420240705 QFM024 Irresponsible AI Reading List June 2024
20240705 QFM024 Irresponsible AI Reading List June 2024
 
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsScaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
 
Mitigating the Impact of State Management in Cloud Stream Processing Systems
Mitigating the Impact of State Management in Cloud Stream Processing SystemsMitigating the Impact of State Management in Cloud Stream Processing Systems
Mitigating the Impact of State Management in Cloud Stream Processing Systems
 
Best Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdfBest Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdf
 
Observability For You and Me with OpenTelemetry
Observability For You and Me with OpenTelemetryObservability For You and Me with OpenTelemetry
Observability For You and Me with OpenTelemetry
 
Transcript: Details of description part II: Describing images in practice - T...
Transcript: Details of description part II: Describing images in practice - T...Transcript: Details of description part II: Describing images in practice - T...
Transcript: Details of description part II: Describing images in practice - T...
 
UiPath Community Day Kraków: Devs4Devs Conference
UiPath Community Day Kraków: Devs4Devs ConferenceUiPath Community Day Kraków: Devs4Devs Conference
UiPath Community Day Kraków: Devs4Devs Conference
 
How Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdfHow Social Media Hackers Help You to See Your Wife's Message.pdf
How Social Media Hackers Help You to See Your Wife's Message.pdf
 
Coordinate Systems in FME 101 - Webinar Slides
Coordinate Systems in FME 101 - Webinar SlidesCoordinate Systems in FME 101 - Webinar Slides
Coordinate Systems in FME 101 - Webinar Slides
 
20240704 QFM023 Engineering Leadership Reading List June 2024
20240704 QFM023 Engineering Leadership Reading List June 202420240704 QFM023 Engineering Leadership Reading List June 2024
20240704 QFM023 Engineering Leadership Reading List June 2024
 
20240702 Présentation Plateforme GenAI.pdf
20240702 Présentation Plateforme GenAI.pdf20240702 Présentation Plateforme GenAI.pdf
20240702 Présentation Plateforme GenAI.pdf
 
20240702 QFM021 Machine Intelligence Reading List June 2024
20240702 QFM021 Machine Intelligence Reading List June 202420240702 QFM021 Machine Intelligence Reading List June 2024
20240702 QFM021 Machine Intelligence Reading List June 2024
 
Cookies program to display the information though cookie creation
Cookies program to display the information though cookie creationCookies program to display the information though cookie creation
Cookies program to display the information though cookie creation
 
The Rise of Supernetwork Data Intensive Computing
The Rise of Supernetwork Data Intensive ComputingThe Rise of Supernetwork Data Intensive Computing
The Rise of Supernetwork Data Intensive Computing
 
Manual | Product | Research Presentation
Manual | Product | Research PresentationManual | Product | Research Presentation
Manual | Product | Research Presentation
 
Recent Advancements in the NIST-JARVIS Infrastructure
Recent Advancements in the NIST-JARVIS InfrastructureRecent Advancements in the NIST-JARVIS Infrastructure
Recent Advancements in the NIST-JARVIS Infrastructure
 
Pigging Solutions Sustainability brochure.pdf
Pigging Solutions Sustainability brochure.pdfPigging Solutions Sustainability brochure.pdf
Pigging Solutions Sustainability brochure.pdf
 
WPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide DeckWPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide Deck
 
Best Programming Language for Civil Engineers
Best Programming Language for Civil EngineersBest Programming Language for Civil Engineers
Best Programming Language for Civil Engineers
 

Spirent: Datum User Experience Analytics System

  • 1. www.spirent.com Datum User Experience Analytics System for Data Services Making 4G Faster: Getting to the Root of Issues Speed Bumps on the 4G Highway. Most users summarize the benefits of 4G LTE and LTE-A services in two words: “It’s faster!” Users expect blazing fast speeds that blow away 3G – but, the fact is, they don’t always get what they expect. With unprecedented network and device complexity, a variety of device, network and application layer issues are reducing the speed of 4G services for many users. All Devices Are NOT Created Equal. Device issues trump the network as a leading cause of impaired data throughput. Our studies across hundreds of device models show that the worst performing devices are 60% slower than the best devices (see Figure 1). The root causes of these issues range from firmware issues to antenna issues to poor design or IP configuration. The Network vs. The Device. With unprecedented complexity and new technologies like carrier aggregation rolling out, many 4G “speed bumps” originate in the network. At the top of the network-based root cause list: improperly configured proxy servers. That’s followed by an array of root causes from other IP/core network configuration issues to RF interference to base station configuration issues. Making 4G Faster with IP Analytics. When we launched Datum in 2007, our customers needed answers to questions like: “how does user experience compare across top devices?” and “is my data service faster than the competition?” Today those same customers are also asking: “why is a device or service not performing?” and “what are the IP-related root causes?” That’s why we created the IP Analytics module for Datum. With this new capability, Datum significantly accelerates root cause analysis and helps carriers and device manufacturers make 4G faster than ever before. Highlights • Measure user experience with a unified approach across all major mobile OS platforms and PCs • Measure in the lab or the live network • Accelerate root cause analysis of web browsing, file transfer and multi-service usage issues • Efficiently measure user experience and manage test cases and data across large numbers of test devices • Pre-test devices to accelerate Spirent Fit4Launch submissions and carrier acceptance All Devices Aren’t Created Equal User Experience Analytics by Spirent Figure 1: A comparison of live network file download speeds for 23 device models from 11 device manufacturers. Each device was compared to the same reference device. -60% -40% -20% 0% 20% 40% Device OEM 11 Device OEM 11 Device OEM 11 Device OEM 10 Device OEM 9 Device OEM 8 Device OEM 1 Device OEM 7 Device OEM 5 Device OEM 5 Device OEM 7 Device OEM 6 Device OEM 3 Device OEM 6 Device OEM 7 Device OEM 6 Device OEM 6 Device OEM 6 Device OEM 5 Device OEM 4 Device OEM 3 Device OEM 2 Device OEM 1 Live Network File Download SpeedLive Network File Download Speed
  • 2. SPIRENT Datum | User Experience Analytics System for Data Services 2 | www.spirent.com Datum: Experience Analytics for Data Service and Multi-Service Usage Use a Consistent Test Approach on Any Mobile Device. Datum measures user experience with a consistent approach across any major mobile OS platform or Windows-compatible portable PC. That enables true apples-to-apples comparisons of user experience across devices, service providers and network technologies. Datum’s consistent metrics help device, network and service teams work together to identify and solve user experience issues. Manage the Measurement Process Centrally. Datum’s cloud- based servers provide a central repository for all test cases, allowing these to be centrally managed. Furthermore, all test results are also uploaded to the central repository, enabling seamless management of user experience measurement processes across teams or geographic locations. Define Realistic Use Cases. Datum enables the definition of use cases (referred to as tests sets) which mimic real-world user activities such as uploading a picture, downloading a file attachment, updating social network status or browsing a website. Each test set consists of one or more of the following tasks: web browsing, file transfer, streaming data, multi- service (call and data) and latency test cases. Tasks can be combined in any order and are highly configurable to match specific user profiles or scenarios. For example, the following test set measures the data experience of a young adult user: Troubleshoot Issues with IP Analytics. After tests are completed and results are uploaded to the cloud, user experience metrics may be synchronized with IP logs collected on the mobile device and/or media server. Users may then access detailed analytics reports on the combined IP logs with the following analytics: IP Summary, IP Address Checks, DNS Checks, IP Fragmentation & QoS Detection, Observed Maximum Segment Size, IP Throughput Charts, TCP Window Size Analysis and Application Layer Event Diagram. User Experience Analytics by Spirent Datum is part of a suite of systems that provide an unmatched range of user experience analytics including: Speech Call Web Browsing File Transfer Video Battery Life Android Mobile OS support including Android, Blackberry, Brew, iOS, Java, WindowsPhone iOS WindowsPhone User Activity Datum Test Case Metrics Browsing the web while talking Start a call, then load web pages Web page load time Watching a video on YouTube Download a 10 MB file over HTTP File download speed Posting a photo to Facebook Upload a 1 MB file over HTTP File upload speed
  • 3. SPIRENT www.spirent.com | 3 Datum | User Experience Analytics System for Data Services Datum System Architecture Datum Mobile: Data-Only Option. Datum Mobile is an on- device agent which connects to cloud-based media servers to initiate data experience tests including HTTP and FTP file transfers, web page downloads, ping tests and more. The Datum Mobile app may be downloaded and installed directly from the relevant app store (iOS, Android or WindowsPhone). Datum Mobile: Multi-Service Option. For Android devices, Datum Mobile performs multi-service measurements for simultaneous voice and data sessions. Metrics include throughput before, after and during a call and multi-RAB call performance. Datum Mobile also integrates with Spirent’s voice experience analytics system, Nomad, to perform multi- service measurements for all leading mobile OS platforms. Datum PC. Datum PC is a Windows-compatible software agent which initiates data experience tests including HTTP and FTP file transfers, web page downloads, ping tests and more. Datum PC may be used to test USB data dongles or integrated wireless or Ethernet capabilities for Windows-compatible PCs. Datum Cloud. Datum Cloud includes the DatumBase web portal and repository and Call and Media Servers. DatumBase is a web-based application, hosted by Spirent, which acts as a repository for test set definitions and test results and also as a reporting and analytics web-interface (see IP Analytics). Call and media servers connect to the Datum Mobile or Datum PC agent to perform end-to-end data tasks and make calls for multi-service measurements. For lab-based testing, Datum Cloud servers are available in a Datum Lab Appliance which may be deployed within a lab IT network. IP Analytics Module. The IP Analytics module is accessed via the DatumBase web-interface. The module uses a “watermarking” technique to synchronize and combine IP logs from the device and/or media server with user experience metrics. An analytics engine produces key troubleshooting metrics and performs a rule-based analysis of the data to automatically detect problems. Metrics and problem results are available via a web-based IP Analytics report.
  • 4. SPIRENT Datum | User Experience Analytics System for Data Services AMERICAS 1-800-SPIRENT | +1-818-676-2683 | sales@spirent.com EUROPE AND THE MIDDLE EAST +44 (0) 1293 767979 | emeainfo@spirent.com ASIA AND THE PACIFIC +86-10-8518-2539 | salesasia@spirent.com © 2014 Spirent Communications, Inc. All of the company names and/or brand names and/or product names and/or logos referred to in this document, in particular the name “Spirent” and its logo device, are either registered trademarks or trademarks pending registration in accordance with relevant national laws. All rights reserved. Specifications subject to change without notice. Rev. A 01/14 How Does Datum Compare? Features Datum In-House Test Tools “Free” Test Apps Network Engineering Tools Commercial solution with global professional support network YES NO NO YES Consistent test capability across PC and all major mobile OS platforms/devices YES NO NO NO Comprehensive range of test cases (Web Browsing, Latency, Streaming, File Transfer) YES NO NO NO Measures call performance with or without concurrent data activity YES NO NO NO Fully transparent test cases and documented KPI’s YES YES NO YES Centralized online management, configuration & reporting YES NO NO NO Centralized real-time access to test results YES NO NO NO Global network of dedicated test servers YES NO YES NO Full access to server-side IP logs for troubleshooting/analysis YES YES NO NO Access to detailed troubleshooting parameters (location, RAT, IP addresses, etc.) YES NO NO YES Access to data performance troubleshooting expertise YES NO NO NO Unified management of field and lab testing YES NO NO NO Datum IP Analysis Report Version 1.0.0.58 Generated (UTC) 2014-01-23 20:20:57 Summary Information Datum Configuration Summary Project Name: Example 1 - PC TCP Scaling Test-Set Name: 25MB-Upload Datum Task Name: FTP_UPLOAD Datum Device ID/IMEI: NoRegistrySettings Stream ID: 1bfbdd69-067a-4eb5-9e77-6db821ae43b3 Test Start Time (UTC): 2013-12-17T18:20:59.057 Reported Device: Not Found Not Found Datum Mobile Test Results Measured Throughput (kbps) 4723.53 kbps — PASS ( > 200.0 kbps) IP Summary IP Summary (Media Server IP Log) Media Server IP Address: 216.157.111.6 IP Lookup Details: Host: 216.157.111.6 Country: United States (US) Device/Network Gateway/Proxy IP Address: 173.8.5.209 IP Lookup Details: Host: 173.8.5.209 Country: United States (US) IP Summary (Device IP Log) Media Server IP Address: 216.157.111.6 Device IP Address: 10.33.100.125 Source Data Download Download Media Server PCAP File for Test (MS_SAVE_216.157.111.6_1bfbdd69-067a-4eb5-9e77-6db821ae43b3.pcap) Download Device PCAP File for Test (MD_SAVE_216.157.111.6_1bfbdd69-067a-4eb5-9e77-6db821ae43b3.pcap) Download Datum Result File (https://trial-datum.metricowireless.com/AlphaDemo/Download.aspx?type=result&id=4e331f20-4867-e311-b53a- 003048fb86fb) Download Datum Test-Set File (https://trial-datum.metricowireless.com/AlphaDemo/Download.aspx?type=testset&id=f8d85c63-4e63-e311- b53a-003048fb86fb) IP Address Checks Network Address Translation (NAT) Detected: YES Source IP Address From Media Server Log: 173.8.5.209 Source IP Address From Device Log: 10.33.100.125 Device IP Address Routable: NO Local Device IP Address: 10.33.100.125 DNS Checks DNS Lookup Observed: NO FTP User-Level Throughput FTP User-Level Throughput From Media Server Log (Mbps): 4.696 FTP User-Level Throughput From Device Log (Mbps): 4.695 Time to generate report: 56.97 second(s). IP Analyses IP Fragmentation Detected: NO IP QoS Detected: YES IP QoS Not Found in Media Server IP Log IP QoS Found in Device IP Log Observed Maximum Segment Size Maximum Segment Size from Media Server (bytes): 1460 Maximum Segment Size from Mobile Device (bytes): 1380 IP Throughput Charts Data Flow Summary Media Server IP Log Data Flow Table Device Server Type Bytes TX Bytes RX Bytes bps TX bps RX bps start duration 173.8.5.209:64599 216.157.111.6:21 TCP 1,977 961 1,016 352 171 181 0.000 44.8998 173.8.5.209:64603 216.157.111.6:2150 TCP 27,913,792 27,347,134 566,658 5,027,270 4,925,215 102,055 0.256 44.4198 Device IP Log Data Flow Table Device Server Type Bytes TX Bytes RX Bytes bps TX bps RX bps start duration 10.33.100.125:64599 216.157.111.6:21 TCP 1,899 931 968 338 166 172 0.000 44.9031 10.33.100.125:64603 216.157.111.6:2150 TCP 27,983,046 27,353,646 629,400 5,040,015 4,926,654 113,361 0.259 44.4174 Example Outputs