Advances in Services Computing: 10th Asia-Pacific Services by Guojun Wang, Yanbo Han, Gregorio Martínez Pérez

By Guojun Wang, Yanbo Han, Gregorio Martínez Pérez

This ebook constitutes the refereed lawsuits of the tenth Asia-Pacific prone 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 disguise quite a lot of subject matters 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 types; integration of telecommunication SOA and net companies; enterprise procedure integration and administration; and safety 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

Example text

It turns out that the usage of APIs is considerable low. Therefore, it is essential to recommend a list of APIs for Mashup developers. Herein, we use the three measures of precision, recall, F-measure to evaluate the performance of our approach. The evaluation metrics are defined as follows. • Precision: p¼ TA \ EA jTA j ð19Þ where, TA is the API recommendation result list, EA is the testing Mashup actually used APIs, |TA| is the size of the API recommendation result list. 28 F. Xie et al. • Recall: r¼ TA \ EA jEA j ð20Þ where, |EA| is the number of APIs the testing Mashup actually used.

So the theory of granular computing is considered to achieve the goal of getting multi-granularity service composition. Granular computing, as one of the new concepts and methods in the field of artificial intelligence, is an effective tool to deal with uncertain problems. The feasibility of using granular computing theory to build the multi-granularity services space is as follows: Build the services which have same or similar functions into service grains. Build the multi-granularity service space by the relationships between services.

Input = A represents a sgi is a service grain and its input is A. Definition 3. 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).

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