چکیده (انگلیسی):

Cloud computing is a computing paradigm in which the various tasks are assigned to a combination of
connections, software and services that can be accessed 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 more 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 topologies for information and query dissemination. In a
distributed system the resource discovery is a significant process for finding appropriate nodes. The earlier
resource discovery mechanism in cloud system relies on the recent observations. In this study, resource
usage distribution for a group of nodes with identical resource usages patterns are identified and kept as a
cluster and is named as resource clustering approach. The resource clustering approach is modeled using
CloudSim, a toolkit for modeling and simulating cloud computing environments and the evaluation
improves the performance of the system in the usage of the resources. Results show that resource clusters
are able to provide high accuracy for resource discovery.