An Economy Driven Resource Allocation Middleware for Grid Workflow

In order to accomplish high performance on grid workflow, grid resource management system needs a smart and swift resource allocation middleware. In this paper, we study the economy driven resource allocation problem based on market model of grid resource management architectures. We model the probl...

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Bibliographic Details
Main Authors: Pengcheng Xiong, Yushun Fan
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Algorithm design and analysis
Automation
Design optimization
Environmental economics
Grid computing
Knowledge management
Large scale integration
Middleware
Resource management
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Summary:In order to accomplish high performance on grid workflow, grid resource management system needs a smart and swift resource allocation middleware. In this paper, we study the economy driven resource allocation problem based on market model of grid resource management architectures. We model the problem as the multiple choice knapsack problem (MCKP) and design the resource allocation optimization algorithm to minimize the average turnaround time of the grid workflow. The complexity analysis shows that the optimization algorithm leads to more efficient resource allocation than many current algorithms. The algorithm is also proved to be especially appropriate since the problem's own characteristics can accelerate the algorithm implementation process.
DOI:10.1109/EDOCW.2007.2