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Global arrays: a portable "shared-memory" programming model for distributed memory computers
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Data Management in an International Data Grid Project
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
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ICPPW '05 Proceedings of the 2005 International Conference on Parallel Processing Workshops
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Dynamic Malleability in Iterative MPI Applications
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Grid Applications for High Energy Physics Experiments
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
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Cluster Computing
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IWOMP '07 Proceedings of the 3rd international workshop on OpenMP: A Practical Programming Model for the Multi-Core Era
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EasyGrid Enabling of Iterative Tightly-Coupled Parallel MPI Applications
ISPA '08 Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
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The Service Oriented Architecture (SOA) is embraced in distributed and grid computing to produce high performance results for long time. SOA is likened by application programmers for its trademark characteristics of programmability, efficiency in heterogeneous conditions and fault-tolerance. It has worked well for high performance financial applications. but not for scientific applications which are too fine grained and communication intensive to be efficient on distributed environments. This paper argues that to make SOA model work well for those scientific applications, we need to reduce overhead costs associated with smaller task loads arising from finer granularity and increased communications in those applications. This paper proposes a data service to be used along with the existing compute services in SOA middlewares to enable inter-communication of finer tasks with out loosing SOA properties of programmability and efficiency under heterogeneity. This data service shall better enable high performance scientific computing of medium to fine grained scientific applications.