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Title: Game Theoretic Task Allocation to Reduce Energy Consumption in Containerized Cloud
Authors: Patra, Manoj Kumar
Patel, Dimple
Sahoo, Bibhudatta
Turuk, Ashok Kumar
Keywords: Cloud Computing Container
Virtual Machine
Game Theory
Virtualization Technique
Resource Allocation
Issue Date: Jan-2020
Publisher: IEEE
Citation: 10th International Conference on Cloud Computing, Data Science and Engineering (Confluence-2020), Noida, India, 29-31 January 2020.
Abstract: Cloud computing provides information technology based solutions to the end-users as a utility. Virtual machine or the virtualization technology is the backbone of implementing cloud computing technologies. However, such implementation encounters the problem of tremendous energy consumption. One of the foremost issues in implementing cloud computing is high energy consumption. This can be reduced to some extent by proper allocation and efficient utilization of resources. At present, containerization is one of the broadly discussed techniques as an alternative to traditional virtualization solutions. In this paper, we propose a game-theoretic approach for resource allocation and a containerized cloud architecture which drastically reduces energy consumption than a virtual machine based cloud. We have used Google cluster traces data set for our experiment in the cloud with virtual machine and containerized cloud. Experimental results show that the energy consumption is minimized in the containerized cloud than a cloud with virtual machines.
Description: Copyright of this document is with proceedings publisher
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