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DC Field | Value | Language |
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dc.contributor.author | Anithakumari, S. | |
dc.contributor.author | Chandrasekaran, K. | |
dc.date.accessioned | 2020-03-30T09:58:40Z | - |
dc.date.available | 2020-03-30T09:58:40Z | - |
dc.date.issued | 2019 | |
dc.identifier.citation | Advances in Intelligent Systems and Computing, 2019, Vol.828, , pp.415-422 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7230 | - |
dc.description.abstract | Cloud computing provides a wide access to complex applications running on virtualized hardware with its support for elastic resources that are available in an on-demand manner. In cloud environment, multiple users can request resources simultaneously and so it has to be made available to them in an efficient manner. For the efficient utilization, these computing resources can be dynamically configured according to varying workload. Here in this paper, we proposed an efficient resource management system to allocate elastic resources dynamically according to dynamic workload. � 2019, Springer Nature Singapore Pte Ltd. | en_US |
dc.title | Allocation of cloud resources in a dynamic way using an sla-driven approach | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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