By Guojun Wang, Yanbo Han, Gregorio Martínez Pérez
This booklet constitutes the refereed lawsuits of the tenth Asia-Pacific companies Computing convention, APSCC 2016, held in Zhangjiajie, China, in November 2016.
The 38 revised complete papers offered during this ebook have been conscientiously reviewed and chosen from 107 submissions. The papers conceal a variety of subject matters within the fields of cloud/utility/Web computing/big info; foundations of providers computing; social/peer-to-peer/mobile/ubiquitous/pervasive computing; service-centric computing versions; integration of telecommunication SOA and net providers; company method integration and administration; and safety in services.
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Additional info for Advances in Services Computing: 10th Asia-Pacific Services Computing Conference, APSCC 2016, Zhangjiajie, China, November 16-18, 2016, Proceedings
Also, the efﬁciency of the algorithm is analyzed along with the average width level and the depth of the space. Experimental results show that the smaller the width of the ontology concept tree and the greater the depth of ontology concept hierarchy tree, the better the service grain structure. In order to deal with the challenges of service compositions of multi-granular users demands under the environment of cloud computing, Cai Huihui  proposes a service granularity space model and a concrete construction method of service space, but how to select the optimal service composition has yet to be perfected.
Some Core concepts are deﬁned as follows: Deﬁnition 1. Services: services can be abstract described as a four-tuple S = (Fun, QoS, Input, Output). Respectively represent as services, quality of service, input and output parameters. Deﬁnition 2. Service grain: Services grain also has the properties of service. As more focus should be laid on services’ level of construction, each of them is described as a A Novel Multi-granularity Service Composition Model 37 Table 1. Identiﬁers and its deﬁnition Identiﬁers S ¼ fs1 ; s2 ; .
Each part here has a variety of options. For instance, in the payment part, users can choose to pay by ICBC, China Construction Bank or Bank of Communications. The user’s ﬁnal choice may be like this: pay by Bank of Communications → take the Air China aircraft → live in the Home Inns hotel. Fig. 1. An example of service composition Granular computing originated from the 1970 is a simulation of solving problems in a human way. As Prof. Zhang Ling and Zhang Bo said: “The common characteristic of human intelligence is that individuals can observe and analyze the same problem in different granular.