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Cloud computing is a computing paradigm in which the various tasks are assigned to a combination of connections, software and services that can be acce ssed over the network. The computing resources and services can be efficiently delivered and utilized, making the vision of computing utility realizable. In various applications, execution of services with mo re number of tasks has to perform with minimum intertask communication. The applications are more likely to exhibit different patterns and levels and the distributed resources organize into various topolog ies for information and query dissemination. In a distributed system the resource discovery is a sign ificant process for finding appropriate nodes. The earlier resource discovery mechanism in cloud system relies on the recent observations. In this study, resourc e usage distribution for a group of nodes with identi cal resource usages patterns are identified and kep t as a cluster and is named as resource clustering approac h. The resource clustering approach is modeled usin g CloudSim, a toolkit for modeling and simulating clo ud computing environments and the evaluation improves the performance of the system in the usage of the resources. Results show that resource clust ers are able to provide high accuracy for resource disc overy. |
