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DC Field | Value | Language |
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dc.contributor.author | Chaudhrani, Vanita Arjun | - |
dc.date.accessioned | 2019-08-22T04:11:04Z | - |
dc.date.available | 2019-08-22T04:11:04Z | - |
dc.date.issued | 2018-06-01 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/8781 | - |
dc.description.abstract | In cloud computing, there are large number of resources which are used like data centres, servers, CPUs, VMs, personal mobile devices and many more. It is difficult to manage these resources, for that resource management is used, so that proper use of resources is made. In this resource management, energy is one of the key parameters which is to be resolved. Resources in the cloud are using a large amount of energy and sometimes energy is wasted so these resources are needed to make energy efficient. Energy efficient resource management techniques help in cost reduction and improving the life of data centres. This paper discusses energy management techniques used in cloud and proposes particle swarm optimization (PSO) based VM allocation model to reduce energy consumption on hosts. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 16MCEN04; | - |
dc.subject | Computer 2016 | en_US |
dc.subject | Project Report 2016 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 16MCEN | en_US |
dc.subject | 16MCEN04 | en_US |
dc.subject | NT | en_US |
dc.subject | NT 2016 | en_US |
dc.subject | CE (NT) | en_US |
dc.title | Energy Aware Computing Resource Allocation using PSO in Cloud | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE (NT) |
Files in This Item:
File | Description | Size | Format | |
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16MCEN04.pdf | 16MCEN04 | 738.59 kB | Adobe PDF | ![]() View/Open |
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