Simulation on the Optimized Scheduling of Multi-Tenant Software under Cloud Computing Environment

Xiao Qian Jin

doi:10.4028/www.scientific.net/AMM.556-562.6246

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Simulation on the Optimized Scheduling of...

Simulation on the Optimized Scheduling of Multi-Tenant Software under Cloud Computing Environment

Abstract:

Multi-tenant software scheduling strategy based on hybrid genetic algorithm and ant colony algorithm was proposed, scheduling resource and scheduling tasks were dispersed into multiple resource nodes and task nodes, encoded on the chromosome through natural number, the fitness function was utilized to assess the quality of chromosomes, according to fitness value to the individual offspring obtained by genetic algorithms, in order to get the best individual as initial value. Experimental results show that the proposed method using multi-tenant software scheduling are better than traditional methods on run-time, the performance of resource utilization, with a stronger multi-tenant software scheduling capability.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

6246-6250

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.6246

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Cite this paper

Online since:

May 2014

Authors:

Xiao Qian Jin*

Keywords:

Ant Colony Algorithm, Cloud Computing, Genetic Algorithm (GA), Multi-Tenant, Scheduling, Software

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* - Corresponding Author

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