Analysis of QoS aware energy‐efficient resource provisioning techniques in cloud computing

Abstract

Summary By incorporating on‐demand resources, software and data for collaborative services through the Internet, the conventional Information Technology enterprise has been transformed by cloud computing. Based on the pay‐per‐use approach, Infrastructure, platform or Software resources and servers located across data centres are among the several types of resources offered to consumers in cloud computing. Data centres handle these resources. These resources are constantly provisioned to users based on their availability, demand, and quality requirements. Cloud computing systems are known as one of the largest utilisers of energy resources all over the world. Also, power consumption has become a crucial aspect as most cloud computing systems work on traditional nonrenewable resources of energy. In order to make data centres environment‐friendly, there is a need for optimal approaches to reduce energy consumption and their hazardous effects on the environment. To analyse different available strategies for building and maintaining an energy‐efficient cloud is the main objective of this paper. The paper will comprehensively review several energy‐efficient resource provisioning methods and provide a graphical comparative study of Quality of Service (QoS) Metrics in cloud computing. Moreover, the present study identifies the areas of study that need to be further improved to increase the energy efficiency of cloud computing systems.

PMRNA: Parameter matching of realtime and non‐realtime applications for resource provisioning in fog‐integrated cloud

“…Resource provisioning in Cloud computing is referred as the process of allocating resources and services from a Cloud service provider to a Cloud customer 13 . Several researchers have proposed resource provisioning models using various techniques, discussed as follows.…”

An Energy Efficient VM Selection Using Updated Dragonfly Algorithm in Cloud Computing

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Energy‐efficient sender‐initiated threshold‐based load balancing (e‐STLB) in cloud computing environment

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