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This paper investigates different methodologies for #assessing the #performance of #heterogeneous #deployments and identifies performance metrics for evaluating the performance of #cloud-#based #chatbot deployment. The study employs chatbot performance measurements with both real users (human) and automated (simulated) users. The experimental results discuss communication metrics such as #response #time, #throughput, and #load #testing (connection loss) through the performance assessment of a case study deployment that utilizes an automated protocol chatbot development framework. The findings presented in this paper can further help practitioners to better understand the performance characteristics of a cloud-based chatbot and assist in making informed decisions related to the chatbot development and deployment options. ---- Ganesh Reddy Gunnam, Devasena Inupakutika, Rahul Mundlamuri, Sahak Kaghyan, Ph.D., David Akopian More details can be found at this link: https://lnkd.in/eSBXttxw

Assessing Performance of Cloud-Based Heterogeneous Chatbot Systems and A Case Study

Assessing Performance of Cloud-Based Heterogeneous Chatbot Systems and A Case Study

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