IEEE/ACM Transactions on Networking (TON)
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Effective bandwidths with priorities
IEEE/ACM Transactions on Networking (TON)
A most probable path approach to queueing systems with general Gaussian input
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
Generalized processor sharing with light-tailed and heavy-tailed input
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Mobile Computing
Queueing processes in GPS and PGPS with LRD traffic inputs
IEEE/ACM Transactions on Networking (TON)
Bounds, approximations and applications for a two-queue GPS system
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Computers and Electrical Engineering
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Implementation of differentiated Quality-of-Service (QoS) in next-generation computer networks has received increasing research interests from both academia and industry. The Generalized Processor Sharing (GPS) scheduling strategy has been widely studied as a promising way to provide differentiated QoS due to its service protection feature. Most of the previous studies reported in the literature, however, have focused on the analysis of GPS under either Short Range Dependent (SRD) or Long Range Dependent (LRD) traffic only, neither of which is able to capture the heterogeneous properties of realistic traffic in multi-service networks solely. To fill this gap, this paper develops a new analytical performance model for GPS systems subject to both LRD self-similar traffic and SRD Poisson traffic. More specifically, using an approach based on Large Deviation Principles, this study contributes to performance modelling and evaluation of GPS scheduling by deriving the analytical upper and lower bounds of the aggregate and individual queue length distributions of heterogeneous traffic flows. The comparisons between analytical bounds and extensive simulation results validate the accuracy and merits of the analytical model which can be adopted as a practical and cost-effective evaluation tool for investigating the performance behaviour of GPS systems under heterogeneous network traffic with various parameter settings.