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Autonomic Resource Management and Energy Consumption in Cloud Environment
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 129 - Number 3 |
| Year of Publication: 2015 |
| Authors: G. Ravi, T. Sujithamani |
10.5120/ijca2015906778
|
G. Ravi, T. Sujithamani . Autonomic Resource Management and Energy Consumption in Cloud Environment. International Journal of Computer Applications. 129, 3 ( November 2015), 8-11. DOI=10.5120/ijca2015906778
Abstract
In computing clouds, it is desirable to pass up slaying resources as a result of under-utilization and to avoid long response period as a result of over-utilization. This paper, proposes a latest approach for dynamic autonomous resource managing in computing clouds. The core involvement of this work is two-fold. First, it adopts a distributed design where resource management is decaying into independent tasks. The results show that the total energy consumption and decision-making time were compacting additional in the proposed algorithm than Sequential Executive Algorithm (SEA). In adding, the advantage would be increasingly apparent with the growing in assignments.
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