By Guojun Wang, Yanbo Han, Gregorio Martínez Pérez
This publication constitutes the refereed court cases of the tenth Asia-Pacific providers Computing convention, APSCC 2016, held in Zhangjiajie, China, in November 2016.
The 38 revised complete papers offered during this publication have been rigorously reviewed and chosen from 107 submissions. The papers conceal quite a lot of themes within the fields of cloud/utility/Web computing/big info; foundations of companies computing; social/peer-to-peer/mobile/ubiquitous/pervasive computing; service-centric computing versions; integration of telecommunication SOA and net companies; enterprise approach integration and administration; and defense in services.
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Extra info for Advances in Services Computing: 10th Asia-Pacific Services Computing Conference, APSCC 2016, Zhangjiajie, China, November 16-18, 2016, Proceedings
On the contrary, the degree of similarity becomes larger with the nearer of the distance between the two concepts. If the distance between the concepts is zero, their similarity is one. The distance between the concepts is inﬁnity, its similarity is 0. Our deﬁnition of semantic similarity between the concept Ci and Cj is: À Á Similar Ci , Cj ¼ 1 À Á dis Ci , Cj ð1Þ À Á We use dis Ci ; Cj to express the semantic distance between concept Ci and Cj in the semantic tree. These concepts will correspond to the services as follows: A Novel Multi-granularity Service Composition Model 39 For two service si and sj , their input and output are composed of a set of message components and each message component corresponds to a concept in semantic tree.
Relationship can be combined: For two service grains: sgi = (Funi, Inputi, Outputi) and sgj = (Funj, Inputj, Outputj), if Inputj Outputi, then sgi and sgj service grains are combined, and donated as sgi ! sgj . Deﬁnition 4. User needs: user needs can be expressed as two virtual services grain: sgin = (null, null, Outputin) and sgout (null, Inputout, null), namely that sgin only have output (user input), sgout only have input (user output). Deﬁnition 5. Service composition: service composition means that for a particular user needs ðsgin ; sgout Þ, if there is a sequence of service grains set to meet the following three conditions: (1) sgin !
13 (2011) 7. : Similarity index based on local paths for link prediction of complex networks. Phys. Rev. E 80(4), 046122 (2009) 8. : Predicting missing links via local information. Eur. Phys. J. B Condens. Matter Complex Syst. 71(4), 623–630 (2009) 9. : Clustering through ranking on manifolds. In: Proceedings of the 22nd International Conference on Machine Learning, pp. 73–80. ACM (2005) 10. : Efﬁcient manifold ranking for image retrieval. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.