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The service-oriented distributed systems such as Gr ids and Clouds are unified computing platform that connect and share heterogeneous resources including computation resource, storage resource, informatio n resource and knowledge resource. While these systems provide a vast amount of computing power their reliability are often hard to be guaranteed. It is due to the increased complexity of processing (e.g. , overhead, latency) that can indirectly affect the s ystem performance. In this study, we addressed the problem of dynamic control for resource management in distributed computing environment. Our dynamic resource control mechanism is designed based on rep utation-based scheduling that aims for sustainable resource sharing. Particularly, each computational resource in the environment has its own reputation value that calculated online by considering the computing capacity and availability. The degree of resource reputation significantly helps in scheduling decisi ons in terms of successful execution while adaptive ly monitoring resource availability. Results demonstra te that our resource control mechanism significantl y increases successful execution, while leading to ro bust resource management.

ADAPTIVE RESOURCE CONTROL MECHANISM THROUGH REPUTATION-BASED SCHEDULING IN HETEROGENEOUS DISTRIBUTED SYSTEMS