Queue response to input correlation functions: continuous spectral analysis
IEEE/ACM Transactions on Networking (TON)
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
Modeling heterogeneous network traffic in wavelet domain
IEEE/ACM Transactions on Networking (TON)
On the autocorrelation structure of TCP traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
On the autocorrelation structure of TCP traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
Journal of Parallel and Distributed Computing - Problems in parallel and distributed computing: Solutions based on evolutionary paradigms
A Self-Similar Point Process Through Fractal Construction
NETWORKING '00 Proceedings of the IFIP-TC6 / European Commission International Conference on Broadband Communications, High Performance Networking, and Performance of Communication Networks
Parallel Rollout for Online Solution of Partially Observable Markov Decision Processes
Discrete Event Dynamic Systems
A Frame Traffic Control Algorithm for IEEE802.11 WLAN
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
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We present a modelling framework and a fitting method for modelling second order self-similar behaviour with the Markovian Arrival Process (MAP). The fitting method is based on fitting to the auto-correlation function of counts for a second order self-similar process. It is shown that with this fitting algorithm it is possible closely to match the auto-correlation function of counts for a second order self-similar process over 3-5 time-scales with 8-16 state MAPs with a very simple structure i.e. a superposition of 3 respectively 4 Interrupted Poisson Processes (IPP) and a Poisson process. The fitting method seems to work well over the entire range of the Hurst parameter.