Tarun Thakur

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About

Serial entrepreneur, Co-Founder and CEO of Veza. Focused on advancing the entire identity…

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Experience & Education

  • Veza

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Publications

  • Leveraging Online Data To Deliver Better Decision Support For Personalized Chronic Disease Management

    American Health Informatics Association

    There is a vast amount of healthcare information online, ranging from scholarly work product to user generated content, which is under-utilized. This paper describes a system that combines these artifacts with patient data to provide personalized information in a order to help people better manage their chronic disease(s)

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  • Optimizing The Delivery Of Social Services

    American Health Informatics Association

    In a world of scarce resources and with the increasing web-enablement of healthcare services, it becomes very important to ensure that patients get the best care possible without exerting significant cost on providers of public health services. This paper describes a system that takes the needs of patients’ and the applicable social service programs (SSs) and optimally assigns patients to SSs. The assignment minimizes the cost to the service provider and maximizes patients’ satisfaction.

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  • An architecture for storage-hosted application extensions

    IBM Journal of Research and Development, Volume 52, Issue 4

    The very rapid growth of data-intensive computing makes it attractive to perform computations locally, where data is stored. Large storage systems based on standard system technologies with server virtualization capabilities make it feasible to deploy application-specific processing onto the storage system, without jeopardizing the availability of the core storage service or degrading performance. Moreover, price and capacity differences between mainframes and these storage systems make this…

    The very rapid growth of data-intensive computing makes it attractive to perform computations locally, where data is stored. Large storage systems based on standard system technologies with server virtualization capabilities make it feasible to deploy application-specific processing onto the storage system, without jeopardizing the availability of the core storage service or degrading performance. Moreover, price and capacity differences between mainframes and these storage systems make this deployment attractive. We describe the design of a prototype system by which the IBM DS8000™ storage system can host application extensions, called adjuncts, that improve the operation of IBM z/OS® (mainframe) applications. These extensions process large amounts of data in operations such as searching, sorting, and indexing so that the host application need not even access most of the data. The benefits of application extensions result from applying system resources more efficiently. Application processing at the storage system magnifies the total throughput that can be achieved by the host application. Furthermore, by avoiding the transmission of large volumes of data through multiple hardware and software layers, processing often takes a shorter time at a lower cost.

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