 DTCF: deadline task consolidation first for energy minimisation in cloud data centresP. Sanjeevi and P. Viswanathan International Journal of Networking and Virtual Organisations, 2018, vol. 19, issue 2/3/4, 209-233 Abstract: The consumption of energy is a vital issue in the cloud, when more precisely administering a large-scale data centre. The cloud data centre accommodating more hosts consume an extent of energy for computation which increases the consumption of energy. To handle this issue, we propose a heuristics energy-efficient workload consolidation with deadline constraint to optimise energy in cloud data centre. The deadline task consolidation first algorithm ranks hosts for creating virtual machines (VMs) and validates the processing time of VMs and places the VM considering deadline of tasks, VMs can be placed in an increasing order of their respective processing time. Then, the decision for migrating VMs to other hosts is evaluated using Markov decision model. Through this process, for specific virtual machine necessities of workloads, we can reduce the number of hosts. The proposed algorithm is simulated in Cloudsim shows that it improves the workload consolidation quality, and is appropriate for deadline task consolidation in cloud data centre. Keywords: cloud data centres; consolidation; energy efficiency; deadline; virtual machine. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijnvor:v:19:y:2018:i:2/3/4:p:209-233 Access Statistics for this article More articles in International Journal of Networking and Virtual Organisations from Inderscience Enterprises Ltd |
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