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DC Field | Value | Language |
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dc.contributor.author | Kulkami, A.K. | |
dc.contributor.author | Annappa, B. | |
dc.date.accessioned | 2020-03-30T10:02:30Z | - |
dc.date.available | 2020-03-30T10:02:30Z | - |
dc.date.issued | 2017 | |
dc.identifier.citation | 2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2017, 2017, Vol., , pp.- | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7570 | - |
dc.description.abstract | With increased cloud adoption globally, the cloud service providers are setting up their data centers in various geographical location to cater the needs of diverse range of users across the globe. The cost of managing data center includes not only hardware, software costs but also the electricity costs prevailing at that location. The cost of electricity varies from location to location and it is mainly because of the uneven production & availability of resources, infrastructure to generate electricity at that part of the globe. It is important for data center owners to reduce the data center management cost without affecting the agreed SLA of service to its users. The paper proposes an algorithm for routing service requests to geo-distributed datacenters considering the electricity cost and response times to optimize the cost of datacenter management. The experimental results using cloud analyst show that our approach reduces the cost of data center management without any increase in the response time for users. � 2017 IEEE. | en_US |
dc.title | Cost aware service broker algorithm for load balancing geo-distrubuted data centers in cloud | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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