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DC Field | Value | Language |
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dc.contributor.author | Joy, N. | |
dc.contributor.author | Chandrasekaran, K. | |
dc.contributor.author | Binu, A. | |
dc.date.accessioned | 2020-03-30T09:58:33Z | - |
dc.date.available | 2020-03-30T09:58:33Z | - |
dc.date.issued | 2016 | |
dc.identifier.citation | 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2016, Vol., , pp.- | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7144 | - |
dc.description.abstract | The rapid increase in demand for computation, increasing amount of data storage needed for running high performance computing enterprises increases the energy and power consumed by large infrastructure. Cloud computing provides a solution to reduce the adverse environmental impacts and saves energy. Our paper draws the attention on the various methods enforced on the cloud environment to make it more energy efficient. In this paper the different energy and power models are being discussed and the main challenges to build a model for green cloud with the help of SLAs are identified. One of the main objectives considered in cloud computing is to provide reliable QoS. This can be defined in the SLA which describes such characteristics. The different ways to minimize energy and power in the cloud computing services are also being discussed in this paper. Our work surveys the various models which will pave the road map for an energy efficient cloud. � 2015 IEEE. | en_US |
dc.title | A study on energy efficient cloud computing | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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