A Review on Dynamic Virtual Machine Consolidation Approaches for Energy-Efficient Cloud Data Centers-Reference-Cited by-同舟云学术

A Review on Dynamic Virtual Machine Consolidation Approaches for Energy-Efficient Cloud Data Centers

Published:2021 Issue: Volume: Page:761-780
ISSN:2524-7565
Container-title:Data Intelligence and Cognitive Informatics
language:
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Author:

Prabha B.,Ramesh K.,Renjith P. N.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8530-2_60

Reference57 articles.

1. Feller E, Ramakrishnan L, Morin C (2015) Performance and energy efficiency of big data applications in cloud environments: A Hadoop case study. J Parallel Distrib Comput 79:80–89

2. Zapater M, Tuncer O, Ayala JL, Moya JM, Vaidyanathan K, Gross K, Coskun AK (2014) Leakage-aware cooling management for improving server energy efficiency. IEEE Trans Parallel Distrib Syst 26(10):2764–2777

3. Hammadi A, Mhamdi L (2014) A survey on architectures and energy efficiency in data center networks. Comput Commun 40:1–21

4. Feng Y, Li B, Li B (2013) Price competition in an oligopoly market with multiple iaas cloud providers. IEEE Trans Comput 63(1):59–73

5. Li X, Garraghan P, Jiang X, Wu Z, Xu J (2017) Holistic virtual machine scheduling in cloud datacenters towards minimizing total energy. IEEE Trans Parall Distrib Syst 29(6):317–1331

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