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News: MS Thesis Defense - Ali Raza - 9 Dec 2015

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MS Thesis Defense - Ali Raza - 9 Dec 2015

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ANNOUNCEMENT – COE MS THESIS DEFENSE

 

Mr. Ali Raza, Full-Time COE MS Student, will defend his MS Thesis on Wednesday, December 09, 2015 at 10:00 a.m. in 24-130. His MS thesis title is “ENERGY-AWARE RESOURCE ALLOCATION FOR EFFICIENT MANAGEMENT OF DATA CENTERS FOR CLOUD COMPUTING. His thesis advisor is “Dr. Sadiq Sait, Professor, COE Department”. You are cordially invited to attend.

 

Abstract:

 

“Cloud computing has evolved as the next-generation platform for hosting applications ranging from sciences to business and social networking to media content delivery. The numerous data centers, employed to provide cloud services, consume large amounts of power for their functioning and cooling.  Improving power efficiency is become an increasingly important task for many data centers for reasons such as electricity cost, infrastructural limits, and negative environmental impact. Power management is a challenging optimization problem due to the scale of modern data centers and presence of conflicting objectives.  Most published work focuses on power management in computing nodes and the cooling facility in an isolated manner. In this work, we use a combination of spatial subsetting and thermal management to optimize the total power consumed by the computing nodes and the cooling facility; and show that solutions, that do not consider these interactions and are not holistic, do not necessarily result in minimum total power consumption. We employ three evolutionary non-deterministic heuristics; namely, Simulated Annealing (SA), Tabu Search (TS), and Simulated Evolution (SimE) to find the best location of each virtual machine (VM) in a data center, based on its computational power and data center heat recirculation model, to optimize the total power consumption. Experimental results show that proposed approach outperforms those heuristics published in previous studies.”

 

 

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Last modified at 2/7/2016 11:29 AM by Webmaster of CCSE website CCSE