LP based Adaptive Resource Management Framework in Cloud Environment
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2014, Vol 17, Issue 1
Abstract
Computing may be based on cloud environment in 21st century. So cloud of the resources will become most important entity in next generation of computing environment. Therefore researchers’ interest is going towards resource management in the cloud environment. However, much research has been done in this line but there is more scope of research in managing scalable resource requests by the end users under the constraint of budget. In this paper, we present an analytical model for a priority based dynamic resource management framework in cloud environment and a multi-index transportation problem cloud resource scheduler (MTPCRS) mechanism with mathematical formulation and an algorithm named Multi-Indexed Cloud Resource Scheduling Algorithm (MICRSA) with state transitions, deterministic finite automation and we present different test cases to evaluate and validate the results for calculating the total cost of processing requests as well as business process diagram and sequence diagram using unified modeling language (UML). A resiliency analysis is also presented to allocate the resources according to their priority and processing cost is also optimized. Finally, the proposed mechanism will be able to calculate the processing cost, time, profit of service providers as well as customers’ benefits and optimum use of cloud resources of various clusters. We use OMNET++ simulator to simulate the proposed mechanism.
Authors and Affiliations
Narander Kumar, Shalini Agrawal and Vipin Saxena
Keywords
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