Abstract
Resubmission Based Fault Tolerance Approach to Schedule Jobs in GRID Environment
Highlights
The grid is "A type of parallel and distributed system that enables the sharing, selection, and aggregation of geographically distributed autonomous and heterogeneous resources dynamically at runtime depending on their availability, capability, performance, cost and users’ quality-of-service requirements”[1]
The Resubmission Based approach divides a large task into a number of small size subtasks, which can be executed on grid resources and execution of all the subtasks have a similar effect as execution of the large task
Subtask Generator (SG): It is a part of Grid Resource Broker who deals with dividing the large size task into small size subtasks and constructs the flow graph for subtasks
Summary
The grid is "A type of parallel and distributed system that enables the sharing, selection, and aggregation of geographically distributed autonomous and heterogeneous resources dynamically at runtime depending on their availability, capability, performance, cost and users’ quality-of-service requirements”[1]. The grid has many design issues like scheduling, data management, resource management, security, load balancing and fault tolerance [2, 3]. Grid jobs are very large and many grid environments are most likely to fail, so fault management becomes more important to give desired Quality of Service (QoS) to grid user. There are two approaches of fault tolerance in a grid environment: proactive and reactive [4, 5]. Proactive fault tolerance approach considers the failure of resources before scheduling jobs, like replica approach. The reactive mechanism takes appropriate action after the job failure, like check pointing approach.
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