Improving Fault Tolerant Resource Optimized Aware Job Scheduling for Grid Computing

Provided by: Science Productions
Topic: Networking
Format: PDF
Workflow brokers of existing grid scheduling systems are lack of cooperation mechanism which causes inefficient schedules of application distributed resources and it also worsens the utilization of various resources including network bandwidth and computational cycles. Furthermore considering the literature, all of these existing brokering systems primarily evolved around models of centralized hierarchical or client/server. In such models, vital responsibility such as resource discovery is delegated to the centralized server machines, thus they are associated with well-known disadvantages regarding single point of failure, scalability and network congestion at links that are leading to the server. In order to overcome these issues, the authors implement a new approach for decentralized cooperative workflow scheduling in a dynamically distributed resource sharing environment of grids.

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