IEEE/ACM Transactions on Networking (TON)
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
Large deviations and the generalized processor sharing scheduling for a two-queue system
Queueing Systems: Theory and Applications
A Reduced-Load Equivalence for Generalised Processor Sharing Networks with Long-Tailed Input Flows
Queueing Systems: Theory and Applications
Testing the Gaussian approximation of aggregate traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Most Probable Path Techniques for Gaussian Queueing Systems
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
Generalized processor sharing with light-tailed and heavy-tailed input
IEEE/ACM Transactions on Networking (TON)
Traffic with an fBm Limit: Convergence of the Stationary Workload Process
Queueing Systems: Theory and Applications
GPS scheduling: selection of optimal weights and comparison with strict priorities
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
Gaussian tandem queues with an application to dimensioning of switch fabric interfaces
Computer Networks: The International Journal of Computer and Telecommunications Networking
ACM SIGMETRICS Performance Evaluation Review
Computers and Operations Research
A note on the delay distribution in GPS
Operations Research Letters
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In this paper we consider the generalized processor sharing (GPS) mechanism serving two traffic classes. These classes consist of a large number of independent identically distributed Gaussian flows with stationary increments. We are interested in the logarithmic asymptotics or exponential decay rates of the overflow probabilities. We first derive both an upper and a lower bound on the overflow probability. Scaling both the buffer sizes of the queues and the service rate with the number of sources, we apply Schilder's sample-path large deviations theorem to calculate the logarithmic asymptotics of the upper and lower bound. We discuss in detail the conditions under which the upper and lower bound match. Finally we show that our results can be used to choose the values of the GPS weights. The results are illustrated by numerical examples.