Abstract | ||
---|---|---|
Facing massive services with different non-functional properties, obtaining the optimal composite service consumes considerable time. In order to reduce the search space and shorten the time of looking for the approximately optimal composite service, several methods based on skyline have been raised. However, these methods mainly focus on Quality of Service (QoS), which cannot describe non-functional properties adequately. Thus, service contracts are widely researched to make up for the deficiencies of QoS. Therefore, how to define the skyline services based on QoS and service contracts is becoming a critical challenge. To attach this issue, this paper proposes contract-oriented skyline services, including non-personalized skyline services and personalized skyline services. In addition, we discuss the natures of personalized skyline services. Besides, to deal with excessive skyline services, a method based on hierarchical clustering is presented, which contributes to the algorithm for contract-oriented service composition. Eventually, the verification experiments have been conducted, which illustrate the effectiveness of our methods. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1007/978-3-319-49178-3_11 | ADVANCES IN SERVICES COMPUTING |
Keywords | Field | DocType |
Service contract,Customer expectations,Service composition,Skyline services,Quality of service | Hierarchical clustering,Skyline,Service contract,Computer science,Quality of service,Service composition,Database,Distributed computing | Conference |
Volume | ISSN | Citations |
10065 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Haifang Wang | 1 | 17 | 3.03 |
Pengfei Liu | 2 | 0 | 0.34 |
Zhong-Jie Wang | 3 | 356 | 64.60 |
Xiaofei Xu | 4 | 408 | 70.26 |