The Design and Evaluation of a Strategy of Data Placement in Cloud Computing Platform

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 7 , ISSUE 1 (March 2014) > List of articles

The Design and Evaluation of a Strategy of Data Placement in Cloud Computing Platform

Wei Guo * / Kaibo Luo / Xinjun Wang / Lizhen Cui

Keywords : Cloud computing, data placement, distributed transaction, genetic algorithm, web service.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 1, Pages 13-30, DOI: https://doi.org/10.21307/ijssis-2017-643

License : (CC BY-NC-ND 4.0)

Received Date : 10-October-2013 / Accepted: 02-February-2014 / Published Online: 27-December-2017

ARTICLE

ABSTRACT

Cloud computing has become a new platform for personal computing. However, while designing the strategy of data placement, there still lacks the consideration of systematic diversity of distributed transaction costs. This paper proposes the use of genetic algorithms to address the data placement problem in cloud computing. This strategy has adequately considered the correlation between data slices to minimize the total cost of distributed transactions. Compared to other methods, genetic algorithms have proven to comprehensively consider the correlation between the data slices in cloud computing, therefore greatly reducing the amount and cost of distributed transactions.

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REFERENCES

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