Workload consolidation techniques to optimise energy in cloud: review. (2017)

• Record Type: Journal Article
• Authors: Sanjeevi, P.; Viswanathan, P.
• Is Part Of: International journal of internet protocol technology. Volume 10:Number 2(2017)
• Page Start: 115
• Page End: 125
• Publication Date: 2017
• Subjects: cloud computing -- data centres -- workload consolidation -- dynamic voltage frequency scaling -- DVFS -- energy consumption -- scheduling -- quality of service -- QoS; File Transfer Protocol (Computer network protocol) -- Periodicals; Multicasting (Computer networks) -- Periodicals; 004.678
• Languages: English
• ISSNs: 1743-8209

Abstract

The major issue threatening the cloud computing is that it consumes an enormous amount of energy for providing valuable computational services. Many workload consolidation attempts were taken to reduce the energy consumption of data centre. Broad research on all workload consolidation issues in the cloud environment is extremely challenging since it entails developers to deliberate network setup and the cloud environment, which could be beyond the control. Moreover, the consolidation of workload cannot be predicted or restrained. Though, existing literature lacks the crucial agility for workload consolidation to reduce energy in cloud data centre, producing poor responsiveness and inadequate scalability. In this paper, we present the background and motivation of workload consolidation techniques in the cloud. Moreover, we acquaintance four recent workload consolidation algorithms considering metrics for reducing energy and the features of the best workload consolidation algorithm is highlighted. Finally, research areas and challenges are boasted based on the strengths and weakness of prevailing workload consolidation methods.