Achieving service level agreement in cloud environment using job prioritization in hierarchical scheduling

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Abstract

One of the challenging issues in Cloud computing Environment is meeting the Service Level Agreement (SLA). The SLA is an agreement signed between the service provider and the service consumer for accessing the service provided by the service provider over the internet. We can investigate the negotiation strategy between the service provider and the service consumer through the third party called a Broker. In many approaches SLA is designed and trusted through the measurement of various non-functional requirements such as response time of job, CPU usage, memory usage and the storage used by the consumer. Main focus of the business process is satisfying the customer need by quick response. In our proposed approach for satisfying the service consumer (customer), parameter such as response time of deadline based job is considered. The response time of the job is affected due to improper scheduling of the job. Therefore a novel hierarchical scheduling with job prioritization is used to give more priority for deadline based jobs. This approach will satisfy the service consumer and meet the SLA by increasing the performance of the scheduling algorithm. © 2012 Springer-Verlag GmbH Berlin Heidelberg.

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APA

Rajavel, R., & Mala, T. (2012). Achieving service level agreement in cloud environment using job prioritization in hierarchical scheduling. In Advances in Intelligent and Soft Computing (Vol. 132 AISC, pp. 547–554). Springer Verlag. https://doi.org/10.1007/978-3-642-27443-5_63

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