A resource manager for optimal resource selection and fault tolerance service in grids

Abstract

In this paper, we address the issues of resource management and fault tolerance in Grids. In Grids, the state of the selected resources for job execution i s a primary factor that determines the computing peformance. Specifically, we propose a resource manager for optimal resource selection. The resource manager automatically selects the optimal resources among candidate resources using a genetic algorithm. .Typically, the probability of failure is higher in the grid computing than in a traditional parallel computing and the failure of resources affrcts job execution fatally. Therefore, a fault tolerance service is essential in computational grid.s and grid services are often expected to meet some minimum levels of Quality of Service (QoS) for desirable operation. To address this issue, we also propose fault tolerance service to surish QoS requirements. We extend the definition of failures, such as process failure. processor failure, and network failure, and design the fault detector and fault manager. The simulation results indicate that our approaches are promising in that (I) our resource manager finds the opfimal set of resources that guarantees the optimal peformance, (2) fault detector detects the occurrence of resource failures and (3) fault manager guarantees that the submitted jobs complete and improves the pe$ormance ofjob execution due to job migration even i f somefailures happen. I This work was done as a part of information & Communication fundamental Technology Research Program supported by Ministv of information 81 Communication in republic of Korea. 0-7803-8430-W04/$20.00 02004 IEEE