Title :
Variable Granularity Index on Massive Service Processes
Author :
Cheng Zeng ; Zhou Lu ; Jian Wang ; Hung, Patrick C. K. ; Jilei Tian
Author_Institution :
Wuhan Univ., Wuhan, China
fDate :
June 28 2013-July 3 2013
Abstract :
Service reuse aims at improving the efficiency of software development and providing common functionalities which are not linked to any particular business process. However, the existing service reuse methods are confined to the reuse of atomic services or processes encapsulated as stand-alone services. How to reuse arbitrary granularities of Service Process Fragment (SPF) is a challenging problem with great application value. This paper presents a novel Variable Granularities Index (VGI) based on SSM-Tree on service processes. VGI could realize the unified index on both atomic and composite services and maximize reuse of them. To verify the feasibility and effectiveness, we construct a sample dataset which contains 500 thousand processes and 127 million atomic services based on the Web Service Challenge Testset Generator (CTG). The experimental results show an effective and efficient approach for SPF query.
Keywords :
Web services; data encapsulation; granular computing; query processing; software engineering; tree data structures; CTG; SPF query; SSM-Tree; VGI; Web service challenge testset generator; atomic process; atomic services; business process; composite services; massive service process; service process fragment; service reuse methods; software development efficiency; variable granularity index; Business; Cities and towns; Encoding; Indexes; Manuals; Merging; Web services; SSM-Tree; process fragment; service signature; variable granularity index;
Conference_Titel :
Web Services (ICWS), 2013 IEEE 20th International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5025-1
DOI :
10.1109/ICWS.2013.13