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Renewable energy-based multi-indexed job classification and container management scheme for sustainability of cloud data centers

journal contribution
posted on 2023-05-19, 17:02 authored by Aujla, GS, Kumar, N, Garg, S, Kaur, K, Ranjan, R, Saurabh GargSaurabh Garg
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.


Publication title

IEEE Transactions on Industrial Informatics






School of Information and Communication Technology


Institute of Electrical and Electronics Engineers

Place of publication

United States

Rights statement

Copyright 2018 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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