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Optimal Task Placement with QoS Constraints in Geo-Distributed Data Centers Using DVFS (2015)

Institute of Electrical and Electronics Engineers (IEEE)

In: IEEE Transactions on Computers (T-C)

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Publication Date: 2015-06-09

Description: 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.

Print ISSN: 0018-9340

Electronic ISSN: 1557-9956

Topics: Computer Science

Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Computer Society.

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