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
Modeling performance of heterogeneous parallel computing systems
Parallel Computing
Memory Hierarchy Considerations for Cost-Effective Cluster Computing
IEEE Transactions on Computers
Effective Metacomputing using LSF MultiCluster
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
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
A performance model for analysis of heterogeneous multi-cluster systems
Parallel Computing
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
A model to predict the optimal performance of the Hierarchical Data Grid
Future Generation Computer Systems
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The overall performance of a distributed system often depends on the effectiveness of its interconnection network. Thus, the study of the communication networks for distributed systems-which is the focus of this paper-is very important. In particular, we address the problem of fat-tree based interconnection networks performance modeling for multi-user heterogeneous multi-cluster computing systems. To this end, we present an analytical model and validate the model through comprehensive simulation. The results of the simulation demonstrate that the proposed model exhibits a good degree of accuracy for various system organizations and under different working conditions. On the basis of the validated model, we propose an adaptive assignment function based on the existing heterogeneity of the system to minimize multi-user environment overhead.