Review of Task Scheduling Algorithm Research in Cloud Computing

Mei Geng Huang; Zhi Qi Ou

doi:10.4028/www.scientific.net/AMR.926-930.3236

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Review of Task Scheduling Algorithm Research in...

Review of Task Scheduling Algorithm Research in Cloud Computing

Abstract:

The cloud computing task scheduling field representative algorithms was introduced and analyzed : genetic algorithm, particle swarm optimization, ant colony algorithm. Parallelism and global search solution space is the characteristic of genetic algorithm, genetic iterations difficult to proceed when genetic individuals are very similar; Particle swarm optimization in the initial stage is fast, slow convergence speed in the later stage ; Ant colony algorithm optimization ability is good, slow convergence speed in its first stage; Finally, the summary and prospect the future research direction.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3236-3239

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3236

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Online since:

May 2014

Authors:

Mei Geng Huang, Zhi Qi Ou

Keywords:

Algorithms Review, Cloud Computing, Task Scheduling

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