A control theoretical approach to self-optimizing block transfer in Web service grids
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
The design and implementation of OGSA-DQP: A service-based distributed query processor
Future Generation Computer Systems
WorldTravel: A Testbed for Service-Oriented Applications
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
Future Generation Computer Systems
Design of a intelligent SOAP message service processor for enhancing mobile web service
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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There is substantial interest in using SOAP (Simple Object Access Protocol) in distributed applications' inter-process communications due to its promise of universal interoperability. The utility of SOAP is limited, however, by its inefficient implementation. Our research aims to makeSOAP useful for high end or resource-constrained applications. The resulting SOAP-bin communication protocol exhibits substantially improved performance compared to regular SOAP communications. Gains are particularly evident when the same types of parameters are exchanged repeatedly, examples including transactional applications, remote graphics or visualization, and distributed scientific codes. A further improvement to SOAP-bin, termed SOAP-binQ, addresses resource-constrained applications like distributed media codes, where scarce communication bandwidth, for example, may prevent end users from interacting in real-time. SOAP-binQ offers quality management functions that permit SOAP to reduce parameter sizes dynamically, as and when needed. The methods used in size reduction are provided by end users and/or by applications, thereby enabling domain-specific tradeoffs in quality vs. performance. An adaptive use of SOAP-binQ's quality management techniques presented in this paper significantly reduces the jitter experienced in two sample applications like remote sensing and remote visualization.