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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weidong Wang Liqiang Wang Wei Lu |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Software Eng., Beijing Jiaotong Univ., Beijing, China (Wei Lu) || Dept. of Comput. Sci., Univ. of Wyoming, Laramie, WY, USA (Weidong Wang; Liqiang Wang) |
| Abstract | Resilience is an important factor in designing web service oriented systems due to frequent failures arising in runtime. These failures derive from the stochastic and uncertainty nature of a composite web service. Service providers need to rapidly address issue when a fault occurs in system running. But it is not easy to locate and fix the faults only using the log generated by the system. In this paper, we propose a resilient framework to automatically generate a fault handling strategy for each failed service to improve the efficiency of fault handling. In the framework, we design and implement three components including exception analyzer, decision maker, and strategy selector. First, The exception analyzer builds a record, derived from the system log generated by an application, for each failed service. Next, the decision maker adopts a k-means clustering approach to construct a decision including the fault handling to each failed service in a scope. Then, the strategy selector uses an integer program solver to generate the solution to strategy selection problem that is boiled down to the optimization problem. The experiment shows that the framework can improve resilience of Web service-oriented systems under acceptable overheads, and meanwhile the accuracy of fault handling strategy is over 95%. |
| Starting Page | 663 |
| Ending Page | 670 |
| File Size | 302993 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781467372725 |
| DOI | 10.1109/ICWS.2015.93 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Web services Resilience Time factors Quality of service Computers Databases Runtime Fault handling Web service |
| Content Type | Text |
| Resource Type | Article |
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