Cost and green aware workload migration on geo-distributed datacentres

Jiacheng Jiang, Yingbo Wu, De Xiang, Keqin Yu and Tianhui Wang

International Journal of Information Technology and Management, 2019, vol. 18, issue 2/3, 213-226

Abstract: With the development of the inter-datacentre (inter-DC) virtual machine migration technology, it is possible to reduce the cost of electricity and the environment by using the workload migration across the datacentre. This paper presents a solution - cost and green aware workload migration algorithm (CGWM) that utilising the difference of electricity prices, CO2 emissions and water consumption between different geographical locations to manage the workload. CGWM attempts to reduce electricity costs, carbon emissions and water consumption. When the three optimisation goals conflict, CGWM first to ensure the reduction of electricity cost, and then by adjusting the weight factor to make CGWM more biased to optimise the carbon dioxide or water consumption. Simulation results show CGWM can reduce electricity costs while controlling carbon dioxide emissions and water consumption.

Keywords: cloud computing; VM migration; geographical datacentres; green datacentres; carbon dioxide emissions; greedy algorithm. (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijitma:v:18:y:2019:i:2/3:p:213-226

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