Requirements for and evaluation of RMI protocols for scientific computing
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Overview of GridRPC: A Remote Procedure Call API for Grid Computing
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Request Sequencing: Optimizing Communication for the Grid
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
OmniRPC: a Grid RPC ystem for Parallel Programming in Cluster and Grid Environment
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
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Effective scheduling in the Grid consisting of heterogeneous and distributed resources is imperative in order to counter unacceptably large overheads of the Grid. We proposed the grid middleware (pyBubble) supporting the DAG based co-scheduling for improving the performance of the RPC mechanism. DAG based co-scheduling reduces redundant transmission of input and output data from execution of the sequence of related client requests, thereby decongesting the network. We demonstrate the efficiency of DAG based co-scheduled RPC in experiments compared with the overhead of the traditional RPC mechanism.