Web services are increasingly being used in business critical environments, enabling uniform access to services provided by distinct parties. In these environments, an operation that does not execute on due time may be completely useless, which may result in service abandonment, and reputation or monetary losses. However, existing web services environments do not provide mechanisms to detect or predict timing violations. This paper proposes a web services programming model that transparently allows temporal failure detection and uses historical data for temporal failure prediction. This enables providers to easily deploy time-aware web services and consumers to express their timeliness requirements. Timing failures detection and prediction can be used by client applications to select alternative services in runtime and by application servers to optimize the resources allocated to each service
Keywords
web services, timing failure, prediction
Subject
Web Services
Conference
International Workshop on Managing Data Quality in Collaborative Information Systems (MCIS 2009) at the International Conference on Database Systems for Advanced Applications (DASFAA 2009), April 2009
Cited by
Year 2012 : 4 citations
1. Yan Hai and Li xiuli, “A Web Service QoS Predicting Algorithm based on QoS Ontology and BP Neutral Networks,” International Journal of Advancements in Computing Technology 4, no. 4, 199–207, March 2012.
2. A. Vani Vathsala and Hrushikesha Mohanty, “Checkpointing Orchestrated Web Services,” Special Issue of International Journal of Computer and Communication Technology (IJCCT) 3, no. 2: 36-42, January 2012.
Ignacio Peralta, “Probablistic Error Detection and Diagnosis in Large-scale Distributed Applications”, PhD Thesis, Purdue University, West Lafayette, Indiana, USA, December 2012.
Andreas Schönberger and Guido Wirtz, “Configurable analysis of sequential multi-party choreographies,” Computer Systems: Science & Engineering 27, no. 2, March 2012.
Year 2011 : 1 citations
1. A. Vani Vathsala, “Optimal Call Based Checkpointing for Orchestrated Web Services”, International Journal of Computer Applications, no. 8, Foundation of Computer Science, New York, USA, December 2011.
