Abstract
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.
Highlights
Large scale computing environments such as clouds propose to offer access to a vast collection of heterogeneous resources
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
Resource aggregation is done to preserve the overall information in the system and to achieve a desirable value between the quality of resource discovery and the overhead in transmission
Summary
Large scale computing environments such as clouds propose to offer access to a vast collection of heterogeneous resources. Internet is one basis of the cloud computing, an unavoidable issue with Internet is that the network bottlenecks often occur when there is a large amount of data to be transferred. In this case, the complexity of resource management stick on to users and the users have normally limited management tools and authentication to deal with such issues (Armbrust et al, 2010). Public clouds are publicly available remote interface for masses creating and managing resources, private clouds gives the local
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