A Cloud Service Method Based on Indirect Addressing

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Abstract:

the cloud-based service is a new type service way to provide the users in distributed environment, but the service model troubles it popularizing. Aiming at the problem, an indirect addressing service method is proposed in the paper. It analyzed the new problems serving in cloud firstly, then comes out a recourse and service invoking model based on indirect addressing, gave out the service actors of the model in detail, studied the package method of the cloud interfaces, produce the knowledge step in the indirect addressing mode of resources distribution. The analysis proves the method with some advantages, and it proposes a new way to settle the service problem in cloud.

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Advanced Materials Research (Volumes 791-793)

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1405-1408

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales- Bueno.Incremental Algorithm Driven by Error Margins. Lecture Notes in Computer Science. Volume 4265, 2006, pp.358-362.

DOI: 10.1007/11893318_42

Google Scholar

[2] Lu Chengjin. Artificial Intelligence. Beijing: Science Press, (2002).

Google Scholar

[3] Jin Qian, Feiyue Ye and Ping Lv. An incremental attribute reduction algorithm in decision table Fuzzy Systems and Knowledge Discovery , 10-12 Aug. 2010, p.1848 – 1852.

DOI: 10.1109/fskd.2010.5569435

Google Scholar

[4] Wang Zhihai, Liu Zhongtian. General concept lattice rule extraction algorithm with progressive algorithm. Chinese Journal of Computers, 1999, 22(1): 66-77.

Google Scholar

[5] Fayyad U M, Smyth P. Uthurusamy, R. Advances in Knowledge Discovery and Data Mining[M]. California: AAAI Press/The MIT Press, (1996).

Google Scholar

[6] TSUMOTO S, TANAKA H. Incremental Learningof Probabilistic Rules from Clinical Databased based on Rough Set Theory[J]. Journal of AMIA4(Supplement), 1997, 20: 198-202.

Google Scholar

[7] Feng Zhiyong, Li Wenjie, Li Xiaohong. Ontology engineering and its application. Bei Jing: Tsinghua University Press, 2007. 5.

Google Scholar

[8] John F Sowa. Knowledge Representation-logitical, philosophical and computational foundations Thomson asia pre ltd, 2003. 5.

Google Scholar