Optimal Task Placement with QoS Constraints in Geo-Distributed Data Centers Using DVFS | IEEE Journals & Magazine | IEEE Xplore

Optimal Task Placement with QoS Constraints in Geo-Distributed Data Centers Using DVFS


Abstract:

With the rising demands on cloud services, the electricity consumption has been increasing drastically as the main operational expenditure (OPEX) to data center providers...Show More

Abstract:

With the rising demands on cloud services, the electricity consumption has been increasing drastically as the main operational expenditure (OPEX) to data center providers. The geographical heterogeneity of electricity prices motivates us to study the task placement problem over geo-distributed data centers. We exploit the dynamic frequency scaling technique and formulate an optimization problem that minimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. Furthermore, an optimal solution is discovered for this formulated problem. The experimental results show that our proposal achieves much higher cost-efficiency than the traditional resizing scheme, i.e., by activating/deactivating certain servers in data centers.
Published in: IEEE Transactions on Computers ( Volume: 64, Issue: 7, 01 July 2015)
Page(s): 2049 - 2059
Date of Publication: 19 August 2014

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