The Application of IHA in Grid Cloud Computing Task Decomposition and Scheduling Based on Bionics ()
Abstract
Based on the large amount and variations of
the power grid task as well as its requirement of real- time performance and
economic benefit, we make a further improvement and expansion of IHA (Improved
Heuristic Algorithm) on the combination of bionics in genetic engineering and
evolution to solve the decomposing and scheduling problems. Firstly, we
transform those complex decomposing problems into the operational optimal
solution problem by IHA to decrease the rate of running into the local optimal
solution [1]. In task scheduling, we classify the sub-tasks by the emergency
degree for resource allocation, which not only largely reduces the calculation
and resource cost but also improves working efficiency and the speed of
execution [2]. Finally, we select optimal scheduling scheme by the Fitness
function defined about time and cost.
Share and Cite:
Shi, K. (2015) The Application of IHA in Grid Cloud Computing Task Decomposition and Scheduling Based on Bionics.
Journal of Power and Energy Engineering,
3, 467-469. doi:
10.4236/jpee.2015.34064.
Conflicts of Interest
The authors declare no conflicts of interest.
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