The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
A performance model of a connection-oriented hypercube interconnection system
Performance Evaluation
IEEE Transactions on Parallel and Distributed Systems
Performance Analysis of Buffering Schemes in Wormhole Routers
IEEE Transactions on Computers
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
A Performance Model for Duato's Fully Adaptive Routing Algorithm in k$k$-Ary n$n$-Cubes
IEEE Transactions on Computers
An Analytical Model of Adaptive Wormhole Routing in Hypercubes in the Presence of Hot Spot Traffic
IEEE Transactions on Parallel and Distributed Systems
Interconnection Networks: An Engineering Approach
Interconnection Networks: An Engineering Approach
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Limits on Interconnection Network Performance
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
A Performance Model for Wormhole-Switched Interconnection Networks under Self-Similar Traffic
IEEE Transactions on Computers
Performance Evaluation - Special issue: Distributed systems performance
Self-similarity in SPLASH-2 workloads on shared memory multiprocessors systems
EURO-PDP'00 Proceedings of the 8th Euromicro conference on Parallel and distributed processing
A Markovian approach for modeling packet traffic with long-range dependence
IEEE Journal on Selected Areas in Communications
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The interconnection network is one of the most critical architectural components in a parallel computer as any interaction between individual processors ultimately depends on its effectiveness. Recent studies have shown that traffic workloads in many parallel computation environments reveal burstiness over a number of time-scales, which has a considerable impact on network performance. Analytical modelling plays an important role in obtaining a clear understanding of the performance of interconnection networks with various design spaces and operating under different traffic conditions. This paper proposes a concise analytical model for the hypercube operating under multiple time-scale bursty traffic. The validity of the model is demonstrated by comparing analytical results to those obtained through simulation experiments of the actual system. The analytical model is then applied to evaluate the impact of multiple time-scale bursty traffic on the performance of hypercubes and investigate the effects of Hurst parameters of the traffic.