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
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
Interconnection Networks: An Engineering Approach
Interconnection Networks: An Engineering Approach
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
LRD and SRD traffic: review of results and open issues for the batch renewal process
Performance Evaluation
IEEE Transactions on Parallel and Distributed Systems
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
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
Input queued switches for variable length packets: analysis for Poisson and self-similar traffic
Computer Communications
A Markovian approach for modeling packet traffic with long-range dependence
IEEE Journal on Selected Areas in Communications
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Realistic network traffic can exhibit the Long-Range Dependent (LRD) feature which is characterised by a hyperbolically decaying correlation function and has strong effects on the performance of communication networks. As the convergence of simulations to a steady state under LRD workloads is often very slow, analytical models become cost-effective and versatile tools that can help designers to investigate system performance. This paper designs an analytical performance model for computing communication delay in adaptively routed hypercubic networks in the presence of LRD traffic. The model is derived in the context of pipelined circuit switching. The tractability and reasonable accuracy of the analytical model make it a practical and cost-effective evaluation tool to study the performance behaviour of hypercubic networks under LRD traffic.