Native Data Representation: An Efficient Wire Format for High-Performance Distributed Computing
IEEE Transactions on Parallel and Distributed Systems
Evaluating Web Services Based Implementations of GridRPC
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Publish-Subscribe for High-Performance Computing
IEEE Internet Computing
Handling knowledge-based decision making issues in collaborative settings: an integrated approach
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
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Abstract: High-performance computing faces considerable change as the Internet and the Grid mature. Applications that once were tightly-coupled and monolithic are now decentralized, with collaborating components spread across diverse computational elements. Such distributed systems most commonly communicate through the exchange of structured data. Definition and translation of metadata is incorporated in all systems that exchange structured data. We observe that the manipulation of this metadata can be decomposed into three separate steps: discovery, binding of program objects to the metadata, and marshaling of data to and from wire formats. We have designed a method of representing message formats in XML, using datatypes available in the XML Schema specification. We have implemented a tool, XMIT, that uses such metadata and exploits this decomposition in order to provide flexible run-time metadata definition facilities for an efficient binary communication mechanism. We also demonstrate that the use of XMIT makes possible such flexibility at little performance cost.