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Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing

Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing

Manjunatha S., Suresh L.
Copyright: © 2021 |Volume: 12 |Issue: 1 |Pages: 10
ISSN: 1947-8208|EISSN: 1947-8216|EISBN13: 9781799861829|DOI: 10.4018/IJKSS.2021010106
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MLA

Manjunatha S., and Suresh L. "Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing." IJKSS vol.12, no.1 2021: pp.74-83. http://doi.org/10.4018/IJKSS.2021010106

APA

Manjunatha S. & Suresh L. (2021). Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing. International Journal of Knowledge and Systems Science (IJKSS), 12(1), 74-83. http://doi.org/10.4018/IJKSS.2021010106

Chicago

Manjunatha S., and Suresh L. "Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing," International Journal of Knowledge and Systems Science (IJKSS) 12, no.1: 74-83. http://doi.org/10.4018/IJKSS.2021010106

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Abstract

Data center is a cost-effective infrastructure for storing large volumes of data and hosting large-scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. Thus, optimizing the energy consumption of servers and networks in data centers can reduce operational costs. In a data center, power consumption is mainly due to servers, networking devices, and cooling systems, and an effective energy-saving strategy is to consolidate the computation and communication into a smaller number of servers and network devices and then power off as many unneeded servers and network devices as possible.

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