A comprehensive analytical model for wormhole routing in multicomputer systems
Journal of Parallel and Distributed Computing
Performance Analysis of Buffering Schemes in Wormhole Routers
IEEE Transactions on Computers
A Performance Model for Duato's Fully Adaptive Routing Algorithm in k$k$-Ary n$n$-Cubes
IEEE Transactions on Computers
Modeling performance of heterogeneous parallel computing systems
Parallel Computing
Memory Hierarchy Considerations for Cost-Effective Cluster Computing
IEEE Transactions on Computers
Limits on Interconnection Network Performance
IEEE Transactions on Parallel and Distributed Systems
Cluster Performance and the Implications for Distributed, Heterogeneous Grid Performance
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
A queueing model for wormhole routing with timeout
ICCCN '95 Proceedings of the 4th International Conference on Computer Communications and Networks
Principles and Practices of Interconnection Networks
Principles and Practices of Interconnection Networks
Queuing Network Modeling of a Cluster-Based Parallel System
HPCASIA '04 Proceedings of the High Performance Computing and Grid in Asia Pacific Region, Seventh International Conference
Modeling and PerformanceAnalysis of the VEGA Grid System
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
An efficient adaptive scheduling policy for high-performance computing
Future Generation Computer Systems
Study of a cluster-based parallel system through analytical modeling and simulation
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Queuing network of scale free topology: on modelling large scale network
The Journal of Supercomputing
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This paper addresses the problem of performance analysis based on the communication modeling of large-scale heterogeneous distributed systems, with an emphasis on enterprise Grid computing systems. The study of communication layers is important, as the overall performance of a distributed system often critically hinges on the effectiveness of this part. We propose an analytical model that is based on probabilistic analysis and queuing networks. The proposed model considers the processor as well as network heterogeneity of the enterprise Grid system. The model is validated through comprehensive simulations, which demonstrate that the proposed model exhibits a good degree of accuracy for various system sizes, and under different working conditions.