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Energy Refining Balance with Ant Colony System for Cloud Placement Machines

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Abstract

Cloud computing has been one of significant domains of processing service in social networks like the internet and local networks in recent years. One of the main problems in cloud computing is placing a virtual server onto physical servers. This problem will have a remarkable effect on energy consumption, because if a suitable placement is not chosen for it, a great amount of energy will be used to keep the physical servers on. This paper aims to optimize the use of energy in physical servers and in order to achieve it, the last placement in Virtual Machines (VMs) and Physical Machines (PMs) is considered. The proposed approach for allocating resources to VMs is the use of ant colony algorithm. This approach solves virtual machine placement problem and attempts to have the least effects on the environment and energy consumption.

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Acknowledgements

The authors would like to express their thanks to the anonymous referees for their valuable comments and suggestions that improved the paper.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Mathematical Sciences, University of Tabriz, Tabriz, Iran

    Hamed Tabrizchi

  2. Department of Computer Science, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

    Marjan Kuchaki Rafsanjani

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  1. Hamed Tabrizchi
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  2. Marjan Kuchaki Rafsanjani
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Correspondence to Marjan Kuchaki Rafsanjani.

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Tabrizchi, H., Kuchaki Rafsanjani, M. Energy Refining Balance with Ant Colony System for Cloud Placement Machines. J Grid Computing 19, 7 (2021). https://doi.org/10.1007/s10723-021-09547-1

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