Abstract
The quest for more powerful computational resources has enabled significant scientific discoveries and also has immensely improved people’s daily life. However, such advancement has significantly strained the electrical energy resources, distribution, and protection systems. Therefore, in the past several years, engineers, researchers, and vendors have teamed up to design, develop, and test devices, procedures, methodologies, and algorithms that constrict the use of electrical energy in computing devices. This chapter surveys the field from the perspective of evolutionary inspired solutions for energy management in “green” computing. This survey bridges two distinct research fields: (a) evolutionary computing and (b) green computing. The presented models are classified according to a general taxonomy of energy and resource management methods in large-scale heterogeneous computing systems.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Kołodziej, J. (2012). Evolutionary Inspired Solutions for Energy Management in Green Computing: State-of-the-Arts. In: Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems. Studies in Computational Intelligence, vol 419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28971-2_7
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DOI: https://doi.org/10.1007/978-3-642-28971-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28970-5
Online ISBN: 978-3-642-28971-2
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