Profile-based application assignment for greener and more energy-efficient data centers
Vasudevan, Meera, Tian, Yu-Chu, Tang, Maolin, & Kozan, Erhan (2016) Profile-based application assignment for greener and more energy-efficient data centers. Future Generation Computer Systems. (In Press)
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The cloud computing era has brought significant challenges in energy and operational costs of data centers. As a result, green initiatives with regard to energy-efficient management of data center infrastructure for cloud computing have become essential. Addressing a big class of widely deployed data centers with relatively consistent workload and applications, this paper presents a new profile-based application assignment approach for greener and more energy-efficient data centers. It builds realistic profiles from the raw data measured from data centers and then establishes a theoretical framework for profile-based application assignment. A penalty-based profile matching algorithm (PPMA) is further developed to obtain an assignment solution, which gives near-optimal allocations whilst satisfying energy-efficiency, resource utilization efficiency and application completion time constraints. Through experimental studies, the profiling approach is demonstrated to be feasible, scalable and energy-efficient when compared to the commonly used general and workload history based application management approaches.
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|Item Type:||Journal Article|
|Keywords:||Data center, application assignment, profile, resource management, energy efficiency|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200) > Computation Theory and Mathematics not elsewhere classified (080299)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Distributed and Grid Systems (080501)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2016 Elsevier B.V.|
|Deposited On:||25 Aug 2016 22:07|
|Last Modified:||23 Sep 2016 04:36|
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