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Modified novel algorithm based on learning automata to determine the underutilized physical machine(PM) in a data center

Shukla, Bhavya (2019) Modified novel algorithm based on learning automata to determine the underutilized physical machine(PM) in a data center. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud computing offers IT solutions all over the world. It works on the pay-as-go model where customers can use services for various purpose such as academic, industrial and personal use. However, cloud data centres consume enormous amount of energy which leads to carbon dioxide emission in the environment. Thus, it leads to the contribution in the greenhouse gases. Furthermore, lot of energy is used to cool the servers in the data centres. Therefore, this paper focuses on determining the underutilized physical machine in the data centres and at the same time focuses on SLA violation. After the successful determination of underloaded host the virtual machine can be shifted from the underloaded to balanced host. The main contribution of the algorithm used is that it helps in determining the balanced host so that the underutilized resources can be run on that. The main problem of the underutilized physical machine is that it consumes energy even though they are not computing the data. Therefore, it is better to switch off these underutilized servers so that the hefty electric bills that the cloud providers pay can be reduced. The designed algorithm is dynamic as it is designed to deal with the heterogenous requests of the customers.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Dan English
Date Deposited: 04 Jun 2020 09:52
Last Modified: 04 Jun 2020 09:52
URI: http://trap.ncirl.ie/id/eprint/4240

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