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Abstract

Cloud Computing has emerged as one of the most popular technologies of the modern era for providing on-demand services to the end users. Most of the computing tasks in cloud data centers are performed by geo-distributed data centers which may consume hefty amount of energy for their operations. However, the usage of renewable energy resources with appropriate server selection and consolidation can mitigate the energy related issues in cloud environment. Hence, in this paper, we propose a renewable energy-aware multi-indexed job classification and scheduling scheme using Container as-a-Service (CoaaS) for data centers sustainability. In the proposed scheme, incoming workloads from different devices are transferred to the DC which has sufficient amount of renewable energy available with it. For this purpose, a renewable energy-based host selection and container consolidation scheme is also designed. The proposed scheme has been evaluated using Google workload traces. The results obtained prove 15%, 28% and 10.55% higher energy savings in comparison to the existing schemes of its category.

Item Type:	Article
Authors/Creators:	Aujla, GS and Kumar, N and Garg, S and Kaur, K and Ranjan, R and Garg, SK
Keywords:	green computing, cloud computing
Journal or Publication Title:	IEEE Transactions on Industrial Informatics
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	1551-3203
DOI / ID Number:	https://doi.org/10.1109/TII.2018.2800693
Copyright Information:	Copyright 2018 IEEE
Related URLs:	Google Scholar: Garg, SK UTAS Profile: Garg, SK
Item Statistics:	View statistics for this item

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