Name
Abstract | ||
|---|---|---|
Quality of service (QoS)-aware web service composition (QWSC) has recently become one of the most challenging research issues. Although much work has been investigated, they mainly focus on certain QoS of web services, while QoS with uncertainty exposes the most important characteristic in real and highly dynamic environment. In this paper, with the consideration of uncertain service QoS and user's preferences, we model the issue of uncertain QoS-aware WSC via interval number and translate it into a multi-objective optimisation problem with global QoS constraints of user's preferences. The encoded optimisation problem is solved by an non-deterministic multi-objective evolutionary algorithm, which exploits new genetic encoding schema, the strategy of crossover and uncertain interval Pareto comparison. To validate the feasibility, large-scale experiments have been conducted on simulated datasets. The results demonstrate that our proposed approach can effectively and efficiently find optimum composite service solutions set with satisfactory convergence. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1504/IJWGS.2019.096524 | INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES |
Keywords | Field | DocType |
web services, uncertain QoS, WSC, web service composition, multi-objective optimisation | Convergence (routing),Crossover,Evolutionary algorithm,Computer science,Quality of service,Exploit,Web service,Pareto principle,Encoding (memory),Distributed computing | Journal |
Volume | Issue | ISSN |
15 | 1 | 1741-1106 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sen Niu | 1 | 7 | 3.17 |
| Guobing Zou | 2 | 95 | 20.12 |
| Yanglan Gan | 3 | 77 | 11.25 |
| Yang Xiang | 4 | 123 | 14.35 |
| Bofeng Zhang | 5 | 179 | 41.38 |