PSSRC: A Web Service Registration Cloud Based on Structured P2P and Semantics
Qian He,
Baokang Zhao,
Liang Chang,
Jinshu Su and
Ilsun You
Additional contact information
Qian He: Key Laboratory of Cognitive Radio and Information Processing, Guilin University of Electronic Technology, Guilin, China & College of Computer, National University of Defense Technology, Changsha, China
Baokang Zhao: College of Computer, National University of Defense Technology, Changsha, China
Liang Chang: Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China
Jinshu Su: College of Computer, National University of Defense Technology, Changsha, China
Ilsun You: Soonchunhyang University, Asan-si, Choongchungnam-do, Korea
International Journal of Data Warehousing and Mining (IJDWM), 2016, vol. 12, issue 2, 21-38
Abstract:
The Universal Description, Discovery and Integration (UDDI) registry is widely used for organizing Web services in the Internet, but it cannot meet the requirement of organizing massive Web services in the cloud computing environment. In this paper, a Web service registration cloud based on structured P2P and semantics (PSSRC) is presented. On the one hand, PSSRC works on a structured P2P overlay which is organized by using Pastry in multiple registration nodes, where each registration node is composed of seven modules namely system configuration, schedule and distribution, P2P communication, access and control, UDDI, resources monitoring, and semantic process. On the other hand, a semantic ontology database named WordNet is used to process semantic queries in PSSRC. PSSRC inherits the advantage of UDDI in that the registration and discovery of Web services are transparent to Web services providers. Furthermore, it is shown by experiment that the capacity of PSSRC can be extended dynamically, and both semantic queries and large scalable accesses are well supported.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJDWM.2016040102 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jdwm00:v:12:y:2016:i:2:p:21-38
Access Statistics for this article
International Journal of Data Warehousing and Mining (IJDWM) is currently edited by Eric Pardede
More articles in International Journal of Data Warehousing and Mining (IJDWM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().