Simulation on Data Energy-Efficient Scheduling Model of Cloud Computing

Hong Liang Guo; He Long Yu

doi:10.4028/www.scientific.net/AMM.644-650.1822

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Simulation on Data Energy-Efficient Scheduling...

Simulation on Data Energy-Efficient Scheduling Model of Cloud Computing

Abstract:

Under the cloud computing environment, massive data is widely used in many fields. In the face of cloud computing environments with massive data center, an efficient scheduling model need to be established. In order to solve massive data processing inefficiencies, redundant business systems and data silos and other issues, this paper proposes a scheduling model of migrating technology based on efficiency optimization virtual machine to meet the massive data efficiently scheduling requirements. Experimental results show that the improved algorithm can effectively advance the efficiency of cloud computing massive data scheduling, with high feasibility and applicability.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1822-1825

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1822

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Online since:

September 2014

Authors:

Hong Liang Guo, He Long Yu*

Keywords:

Cloud Computing, Massive Data, Scheduling Model, Virtual Machine

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* - Corresponding Author

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