Semantic Cloud Based on SLN and ALN
Fangfang Liu, Xiangfeng Luo, Jie Yu, Guoning Liang · 2009
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.