Static and dynamic processor scheduling disciplines in heterogeneous parallel architectures
Journal of Parallel and Distributed Computing
Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI
IEEE Internet Computing
IEEE Internet Computing
The Self-Serv Environment for Web Services Composition
IEEE Internet Computing
Composing Web Services: A QoS View
IEEE Internet Computing
IEEE Internet Computing
A model-driven approach to describe and predict the performance of composite services
WOSP '07 Proceedings of the 6th international workshop on Software and performance
Price competition with service level guarantee in web services
Decision Support Systems
A novel heuristic algorithm for QoS-aware end-to-end service composition
Computer Communications
Contemporary web service discovery mechanisms
Journal of Web Engineering
Mining models of composite web services for performance analysis
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Agent based dynamic execution of BPEL documents
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Automated performance analysis of business processes
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
Stochastic bounds for composite Web services response times
Cluster Computing
Dynamic synthesis of local time requirement for service composition
Proceedings of the 2013 International Conference on Software Engineering
| Hi-index | 0.00 |
A single Internet application can invoke many different Web services for example, the metasearch engine WebSifter uses several online ontologies to refine a user's request into a more meaningful query and then submits that query to various search engines in parallel. We call such applications composite Web services. As I discussed in a previous column, many important challenges stem from the quality-of-service issues in composite Web services. In this column, I address the impact of slow services on the overall response time of a transaction that uses several Web services in parallel.