Abstract
The risk of failure is an important property of a Grid resource, especially when scheduling jobs optimally in relation to
resources so as to achieve a business objective. However, in Grid computing, user-centric scheduling algorithms ignore the risk
factor and mostly address the minimization of the cost of the resource allocation, or the overall deadline by which the job must be
executed completely. Therefore, we propose a novel user-centric scheduling algorithm for scheduling Bag of Tasks (BoT)
applications. The algorithm, which aims to meet user requirements, takes into account the risk of failure, the cost of resources and
the job deadline. With this in mind, through simulation, we demonstrate that the algorithm provides a near-optimal solution for
minimizing the cost of executing BoT jobs. Also, we show that the execution time of the proposed algorithm is very low, and is
therefore suitable for solving scheduling problems in real-time.
Keywords
Grid Computing
job scheduling
Resource management
Authors
How to Cite this Article
K.R Palanisamy, A.Murugan (2015).
"RISK MANAGEMENT OF RESOURCE ALLOCATION IN GRID COMPUTING".
International Journal of Contemporary Research in Computer Science and Technology,
1(9), pp. 354-360.
