Evolutionary multiobjective optimization for Green clouds

Phan, Dung H. and Suzuki, Junichi and Carroll, Raymond and Balasubramaniam, Sasitharan and Donnelly, William and Botvich, Dmitri (2012) Evolutionary multiobjective optimization for Green clouds. In: GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion :. GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion . Association for Computing Machinery, USA, pp. 19-26. ISBN 9781450311786

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Abstract

As Internet data centers (IDCs) have been increasing in scale and complexity, they are currently a significant source of energy consumption and CO2 emission. This paper proposes and evaluates a new framework to operate a federation of IDCs in a "green" way. The proposed framework, called Green Monster, dynamically moves services (i.e., workload) across IDCs for increasing renewable energy consumption while maintaining their performance. It makes decisions of service migration and placement with an evolutionary multi-objective optimization algorithm (EMOA) that evolves a set of solution candidates through global and local search processes. The proposed EMOA seeks the Pareto-optimal solutions by balancing the trade-offs among conicting optimization objectives such as renewable energy consumption, cooling energy consumption and response time performance.

Item Type:	Book Section
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1703
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:17
Last Modified:	23 Jul 2023 02:00
URI:	http://repository-testing.wit.ie/id/eprint/5123

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