Title :
Technology of QoS evaluation based grey system theory
Author :
Zhang Guoping ; Qin Longlong ; Wang Ningbo
Author_Institution :
Coll. of Comput. & Commun., EngineeringChina Univ. of Pet., Qingdao, China
Abstract :
Grey system theory is a new method that studies less data, poor information uncertainty problems. Grey system theory, with "small sample" of which "partial information is known, some of the information is unknown" and "poor information" uncertainty system as the research object, mainly through the generation and development of "partial" known information, extracts valuable information and realizes the correct description and effective monitoring of the system operation behavior and the evolution law. At present in the research of the Web Service Composition indicator information of each service is obtained by the mining for the execution log and statistical analysis. But, due to the high degree of autonomy of Web services, the historical data of QoS indicator generally has no features of mass and completeness, and instead embodies small sample, incomplete, short timing characteristics etc. At the same time weight is vulnerable to anthropogenic factors and difficult to accurately define. So the gray system theory provides the feasibility of eliminating weight evaluation. With the gray system theory, application of grey prediction and grey relational analysis, preliminary studies service-oriented selected QoS evaluation method.
Keywords :
Web services; data mining; quality of service; statistical analysis; QoS evaluation technology; Web service composition indicator information; anthropogenic factors; evolution law; execution log mining; grey prediction; grey relational analysis; grey system theory; partial known information; poor information uncertainty system; service-oriented selected QoS evaluation method; statistical analysis; system operation behavior; QoS evaluation; grey prediction; grey relational analysis; grey system theory; service composition; service selection;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526297