Research on Cloud Computing Resources Provide Optimization Method

Rui Peng Shi

doi:10.4028/www.scientific.net/AMR.1049-1050.1375

Paper Titles

An Improved Bat Algorithm and its Application in Permutation Flow Shop Scheduling Problem
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An Improved Quantum Ant Colony Algorithm of Solving Nonlinear Equation Groups
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Cuckoo Search Algorithm for Solving Ill-Conditioned Linear Equations
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An Image Encryption Scheme Based on Generalized Arnold Map and Chinese Remainder Theorem
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Research on Cloud Computing Resources Provide Optimization Method
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Oil Pipeline Simple Sampling Thief Optimization Research
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Hand-Painted Curve Fitting Method Based on NURBS Curve
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Optimal Adjustment Control of SISO Nonlinear Systems Based on Multi-Dimensional Taylor Network only by Output Feedback
p.1389

Study of Application of Time Series Model in Grain Yield Predition
p.1392

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050Research on Cloud Computing Resources Provide...

Research on Cloud Computing Resources Provide Optimization Method

Abstract:

Cloud computing core issues of resource management research is to achieve efficient resource sharing and dynamic configuration. In this paper, the background of cloud computing technology to study how to optimize cloud computing data center resources optimal allocation problem. This paper compares and analyzes the application field of traditional algorithms and heuristic intelligent algorithm.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1375-1379

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1375

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Online since:

October 2014

Authors:

Rui Peng Shi*

Keywords:

Cloud Computing, Optimization, Provision of Resources, Reliability, Virtualization

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References

[1] Kertesz, A., An SLA-based resource virtualization approach for on-demand service provision, the 3rd international workshop on Virtualization technologies in distributed computing. 2009. pp.27-34.

DOI: 10.1145/1555336.1555341

Google Scholar

[2] Chaisiri, S., Optimization of Resource Provisioning Cost in Cloud Computing. IEEE Transactions on Services Computing, 2011. p. (99): 1-1.

Google Scholar

[3] Chaisiri, S., Robust cloud resource provisioning for cloud computing environments. Service-Oriented Computing and Applications (SOCA). 2011. pp.1-8.

DOI: 10.1109/soca.2010.5707147

Google Scholar

[4] Wu Song, HPC Cloud environment placement algorithm based on virtual machine network I/O load, Chinese science ( Series E: Information Sciences), 2012. 42(3): 290-302.

Google Scholar

[5] Verma, A., power and migration cost aware application placement in virtualized systems, the 9th ACM/IFIP/USENI: X International Conference on Middleware. 2008. pp.243-264.

DOI: 10.1007/978-3-540-89856-6_13

Google Scholar

[6] Machida, F., Redundant virtual machine placement for fault-tolerant consolidated server clusters. in 2010 IEEE Network Operations and Management Symposium(NOMS). 2010: pp.32-39.

DOI: 10.1109/noms.2010.5488431

Google Scholar