Salvador Melendez

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We analyze the conditions in which offloading computation reduces completion time. We extend the existing literature by deriving an inequality that relates computation offloading system parameters to the bits per instruction ratio of a computational job. This ratio is the inverse of the arithmetic intensity. We then discuss how this inequality can be used(More)
This study numerically investigates the fluid dynamics in an active-liquid-heat-sink (ALHS) for a computer microprocessor cooling system. Principal concepts, basic design, and the integration of the ALHS technology into an internal CPU liquid cooling system are presented. Basic assumptions and numerical methods, especially for rotating machinery in fluid(More)
We study a computation offloading system with multiple cloud resources that can serve as offload targets. In this system, given a computational job, an M-ary decision must be made to select a local or remote (offload) compute resource where the job will be executed. Such a decision is made using estimators that approximate the job's completion time for each(More)
This paper surveys the literature to reveal the communication patterns associated with cloud computing. The literature includes a number of studies that although are not specific to cloud computing do provide insight into one class of communication for cloud computing: the communication between cloud clients (CCs) and cloud service provider (CSP)(More)
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