2017 Fiscal Year Final Research Report
Discovery and Composition of Web Services on Big Data of a Linked Services Network
| Project/Area Number |
15K00428
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | The University of Aizu |
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Principal Investigator |
Paik Incheon 会津大学, コンピュータ理工学部, 教授 (70336478)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | Service Discovery / Service Network / Big Data Infrastructure / Map-Reduce Algorithm / Task Allocation |
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| Outline of Final Research Achievements |
The objective and plan of this research is to develop distributed algorithm and system to discover services on Global Social Service Network (GSSN) on a distributed big data infrastructure and its evaluation and application. The contribution of this research is as follows.
First, a novel algorithm, called Map-Reduce Global Social Service Network (MR-GSSN), to generate large service network, has been developed on Hadoop cluster with 18 nodes. We evaluated service discovery performance based on MR-GSSN, and it shows almost same result as that of GSSN with 30 times speed up. Second, in this research, we proposed a new evaluation matric for service discovery on MR-GSSN has been developed. Third, as an application of big data infrastructure, a task allocation algorithm on big data infrastructure and its evaluation has been proposed.
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| Free Research Field |
サービスコンピューティング
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