Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Energy Aware SLA with Classification of Jobs for Cloud Environment(Elsevier B.V., 2015) Joy, N.; Chandrasekaran, K.; Binu, A.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.Item Energy aware SLA and green cloud federations(Institute of Electrical and Electronics Engineers Inc., 2016) Joy, N.; Chandrasekaran, K.; Binu, A.Cloud computing has been an emerging research topic since 2007. The online services are delivered as pay-as-you-use in Cloud computing. The customers need not be in a long term contract with Cloud Service Providers (CSPs). Service level agreements (SLAs) are agreements signed between a cloud service provider and customers. Energy aware SLAs extend the existing SLA agreements in order to include energy and carbon aware parameters. The efficiency and availability of the system are not disturbed when certain jobs are relaxed in order to obtain high energy consumption. In order to increase the energy consumption further we incorporated the concept of cloud federations in which a group of CSPs, mutually agree to make use of their resources to execute the VMs of other CSPs. An algorithm based on the amount of energy consumed by different CSPs is being readily implemented. This algorithm grant a group of CSPs to jointly set the federations in a manner to distribute their work equally so as to reduce the energy consumed. The results from the above approach show that it can be considered as a hopeful solution to the problem of reducing the energy cost even though there are a few challenges during implementation. © 2016 IEEE.Item A study on energy efficient cloud computing(Institute of Electrical and Electronics Engineers Inc., 2016) Joy, N.; Chandrasekaran, K.; Binu, A.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.