DocumentCode
2929205
Title
Semantic Cloud Based on SLN and ALN
Author
Liu, Fangfang ; Luo, Xiangfeng ; Yu, Jie ; Liang, Guoning
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
314
Lastpage
317
Abstract
Clouding computing is considered as one of the most promising computing paradigms. Most already existing systems, which provide cloud computing, only pay attention to aggregating resources with the same computing capability and provide user with local optimized and discontinuous results. To satisfy users´ complex requirements it´s necessary to orchestrate resources with different functions together and produce the personalized resource flow to users. In this paper, we offer an approach for the issues. We build a semantic layer for cloud computing to connect resources from different domains. Our approach relies on the semantic representation and relationship of resources. The Similarity Link Network (SLN) and Association Link Network (ALN) based on the similarity and association relation respectively, form SLN-cloud and ALN-cloud which makes the clouds with rich abilities possible. Accurate and continuous results can be provided to users depending on the global view of resources.
Keywords
grid computing; association link network; association relation; semantic cloud computing; similarity link network; similarity relation; Application software; Cloud computing; Cognitive informatics; Computer architecture; Computer networks; Concurrent computing; Distributed computing; Grid computing; Knowledge engineering; Next generation networking; cloud computing; semantic link network;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
Conference_Location
Zhuhai
Print_ISBN
978-0-7695-3810-5
Type
conf
DOI
10.1109/SKG.2009.87
Filename
5370108
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