Open Metadata Formats: Efficient XML-Based Communication for High Performance Computing

Authors:
Patrick Widener;Greg Eisenhauer;Karsten Schwan;Fabián E. Bustamante
Affiliations:
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, USA;College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, USA;College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, USA;College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, USA
Venue:
Cluster Computing
Year:
2002

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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.