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2013•Journal of Advances in Computer NetworksOpen access

MapReduce Implementation Based on vStarCloud

Lei Zhu, Zuo-Ning Chen, Hong-Wu Yin

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Abstract

As a lot of cloud computing platforms are being developed, the number of cloud computing platform is increasing rapidly, with various forms.Therefore, collaborative integrated development is necessary for the entire cloud computing ecosystem to establish and enrich.Therefore, the vStarCloud is proposed, which is a cloud computing operating system architecture based on the idea of distributing and layering.This paper introduces a method of the deployment and implementation of MapReduce application based on vStarCloud, and the feasibility of vStarCloud will be verified by experiment.Also, the performance of MapReduce with Hadoop will be compared.

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As a lot of cloud computing platforms are being developed, the number of cloud computing platform is increasing rapidly, with various forms.Therefore, collaborative integrated development is necessary for the entire cloud computing ecosystem to establish and enrich.Therefore, the vStarCloud is proposed, which is a cloud computing operating system architecture based on the idea of distributing and layering.This paper introduces a method of the deployment and implementation of MapReduce application based on vStarCloud, and the feasibility of vStarCloud will be verified by experiment.Also, the performance of MapReduce with Hadoop will be compared.

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Available abstract

As a lot of cloud computing platforms are being developed, the number of cloud computing platform is increasing rapidly, with various forms.Therefore, collaborative integrated development is necessary for the entire cloud computing ecosystem to establish and enrich.Therefore, the vStarCloud is proposed, which is a cloud computing operating system architecture based on the idea of distributing and layering.This paper introduces a method of the deployment and implementation of MapReduce application based on vStarCloud, and the feasibility of vStarCloud will be verified by experiment.Also, the performance of MapReduce with Hadoop will be compared.

Key concepts: Computer science

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