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Title: Energy Aware SLA with Classification of Jobs for Cloud Environment
Authors: Joy, N.
Chandrasekaran, K.
Binu, A.
Issue Date: 2015
Citation: Procedia Computer Science, 2015, Vol.70, , pp.740-747
Abstract: The accelerated growth of the cloud eco-system is leading to the progress of new services, innovative ideas for the service replen- ishing and the newest interaction models both among the cloud providers and the customers which take advantage of the cloud resources. SLAs are one of the factors which allow for different interactions by keeping the objectives over privacy,QoS attributes and security constraints driving towards QoP attributes, the description of actions is needed in order to deliver the services ac- cording to the QoS attributes as expected by the customers. Energy aware SLAs extends the existing SLA agreements in order to include energy and carbon aware parameters. In this paper we propose an approach in order to relax certain jobs in a standardized way to obtain high energy consumption without disturbing the efficiency and availability of the system especially during the peak load times. The results for the above proposal are being discussed in this paper and were able to find that it is energy efficient. � 2015 The Authors.
Appears in Collections:2. Conference Papers

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