An Active Service Reselection Triggering Mechanism

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.

[1]  Tao Yu,et al.  Efficient algorithms for Web services selection with end-to-end QoS constraints , 2007, TWEB.

[2]  Zhaohui Wu,et al.  Collaborative Web Service QoS Prediction with Location-Based Regularization , 2012, 2012 IEEE 19th International Conference on Web Services.

[3]  Ling Liu,et al.  Stock Market Volatility Prediction: A Service-Oriented Multi-kernel Learning Approach , 2012, 2012 IEEE Ninth International Conference on Services Computing.

[4]  Athman Bouguettaya,et al.  Deploying and managing Web services: issues, solutions, and directions , 2008, The VLDB Journal.

[5]  Ji Su Park,et al.  Markov Chain Based Monitoring Service for Fault Tolerance in Mobile Cloud Computing , 2011, 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications.

[6]  Zibin Zheng,et al.  QoS-Aware Web Service Recommendation by Collaborative Filtering , 2011, IEEE Transactions on Services Computing.

[7]  Alfredo Goldman,et al.  On Graph Reduction for QoS Prediction of Very Large Web Service Compositions , 2012, 2012 IEEE Ninth International Conference on Services Computing.

[8]  Zibin Zheng,et al.  An Enhanced QoS Prediction Approach for Service Selection , 2011, 2011 IEEE International Conference on Services Computing.

[9]  Qian Tao,et al.  A novel prediction approach for trustworthy QoS of web services , 2012, Expert Syst. Appl..

[10]  Schahram Dustdar,et al.  Monitoring, Prediction and Prevention of SLA Violations in Composite Services , 2010, 2010 IEEE International Conference on Web Services.