Name
Abstract | ||
|---|---|---|
Actively identifying service faults and actively trigger service reselection are important management methods for efficiently promoting system reliability. Composite Web services, however, are often long-running, loosely coupled and cross-organizational applications. They always run in a highly dynamic and changing environment(The Web) which imposes many uncertainties, such as server unavailable or network interruption or temporarily interrupt and so on. Under these uncontrollable circumstances, it is impractical to monitor the changes in Quality of Service parameters for each and every service in order to timely trigger service reselection, due to high computational costs associated with the process. In order to overcome the above problem, this paper proposes an efficient reselection mechanism by mining early patterns in advance. The system will trigger service reselection once potential execution failure is detected by matching these early patterns with the current situation. The process is real time and low-cost, and as such, the proposed mechanism will improve system reliability. © 2013 Springer-Verlag. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-37401-2_60 | APWeb |
Keywords | Field | DocType |
early pattern,prediction,service reliability | Interrupt,Computer science,Quality of service,Composite web services,Computer network,Database | Conference |
Volume | Issue | ISSN |
7808 LNCS | null | 16113349 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Yin | 1 | 32 | 7.59 |
| Tiancheng Zhang | 2 | 22 | 7.91 |
| Bin Zhang | 3 | 213 | 41.40 |
| Gang Sheng | 4 | 21 | 3.16 |
| Yuhai Zhao | 5 | 109 | 19.49 |
| Ming Li | 6 | 0 | 0.34 |