Data networks
Memory Hierarchy Considerations for Cost-Effective Cluster Computing
IEEE Transactions on Computers
Analytical and Experimental Evaluation of Cluster-Based Network Servers
Analytical and Experimental Evaluation of Cluster-Based Network Servers
Beowulf Cluster Computing with Linux
Beowulf Cluster Computing with Linux
A performance model for analysis of heterogeneous multi-cluster systems
Parallel Computing
Analytical modeling of interconnection networks in heterogeneous multi-cluster systems
The Journal of Supercomputing
Analytical communication networks model for enterprise Grid computing
Future Generation Computer Systems
Performance modeling and analysis of heterogeneous meta-computing systems interconnection networks
Computers and Electrical Engineering
Multi-cluster computing interconnection network performance modeling and analysis
Future Generation Computer Systems
Performance analysis of interconnection networks for multi-cluster systems
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
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In this paper we present a new analytical model for cluster-based parallel systems based on Multi-Chain Open Queuing Network. The proposed model is general enough in terms of node design and clustering which can be extended to any parallel system. To have a good estimation of the model parameters, a benchmark suite has been applied to a real system and parameters calibration is performed based on actual measurements. In this study the hypercube topology was chosen for the interconnection network of the system. We present an analytical modeling and validate it by simulation. The QNAT is used for analytical modeling and the OMNet++ simulator has been used to carry out the simulations. Comparison of simulation and analytical results verifies validity of the model. System workload in simulations is generated using both analytical and experimental distributions and a close match with analytical results in both cases is observed.