An Economic-based Resource Management and Scheduling for Grid Computing Applications
Resource management and scheduling plays a crucial role in
achieving high utilization of resources in grid computing
environments. Due to heterogeneity of resources, scheduling an
application is significantly complicated and challenging task in
grid system. Most of the researches in this area are mainly
focused on to improve the performance of the grid system.
There were some allocation model has been proposed based on
divisible load theory with different type of workloads and a
single originating processor. In this paper we introduce a new
resource allocation model with multiple load originating
processors as an economic model. Solutions for an optimal
allocation of fraction of loads to nodes obtained to minimize the
cost of the grid users via linear programming approach. It is
found that the resource allocation model can efficiently and
effectively allocate workloads to proper resources.
Experimental results showed that the proposed model obtained
the better solution in terms of cost and time
Keywords: Grid Scheduling, Resource management, Workload
distribution, Economic model, Cost Optimization
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