Results 271 to 280 of about 65,792 (310)

Service Systems in Heavy Traffic

Theory of Probability & Its Applications, 1963
Let $\eta _n $ be the waiting time of the n-th customer arriving at a service line. It is proved that under certain conditions the distribution of $\delta \eta _n $ tends to a negative exponential distribution as $\delta \to 0$, and $n\delta ^2 \to \infty $, where $\delta = {{({\bf M}\tau - {\bf M}\chi )} / {M\tau ;}}{\bf M}\tau $ and ${\bf M}\chi ...
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Efficient simulation of queues in heavy traffic

ACM Transactions on Modeling and Computer Simulation, 2003
When simulating queues in heavy traffic, estimators of quantities such as average delay in queue d converge slowly to their true values. This problem is exacerbated when interarrival and service distributions are irregular.
Chia-Li Wang, Ronald W. Wolff
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The Probability of Loss of Calls in Heavy Traffic

Theory of Probability & Its Applications, 1964
The full availability group of trunks with an arbitrary distribution of the inter-arrival times and a negative exponential holding time distribution is considered. The possibility of evaluating the probability of loss of calls by Erlang’s formula, as a first approximation, is established under very general conditions on streams with high intensity ...
Viskov, O. V., Prokhorov, Yu. V.
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Heavy-Traffic Behavior of the MaxWeight Algorithm in a Switch with Uniform Traffic

ACM SIGMETRICS Performance Evaluation Review, 2015
We consider a switch with uniform traffic operating under the MaxWeight scheduling algorithm. This traffic pattern is interesting to study in the heavy-traffic regime since the queue lengths exhibit a multi-dimensional state-space collapse. We use a Lyapunov-type drift technique to characterize the heavy-traffic behavior of the expectation
Siva Theja Maguluri, R. Srikant 0001
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Scheduling for Heavy Traffic

2011
Previous chapters looked at SOAP performance through various optimisations, which included grouping messages (so to reduce the number of message) as well as smartly routing messages (so to reduce the routing path to destination). This chapter (as well as the next chapter) look at the performance of Web services on the server side.
Zahir Tari, Ann Khoi Anh Phan, Malith Jayasinghe, Vidura Gamini Abhaya   +3 more
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On–off fluid models in heavy traffic environment

Queueing Systems, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Krzysztof Debicki, Zbigniew Palmowski
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Heavy Traffic

Traffic Technology International
Texan roads are under pressure. Tom Stone looks at how new research analyzes border controls for heavy vehicles, calculates permit revenues vs road repair costs and recommends ways to protect the state’s highways for the ...
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A theory of traffic congestion at heavy bottleneckss

Journal of Physics A: Mathematical and Theoretical, 2008
Spatiotemporal features and physics of vehicular traffic congestion occurring due to heavy highway bottlenecks caused for example by bad weather conditions or accidents are found based on simulations in the framework of three-phase traffic theory. A model of a heavy bottleneck is presented. Under a continuous non-limited increase in bottleneck strength,
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Heavy Traffic Analysis of Two Coupled Processors

Queueing Systems, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Charles Knessl, John A. Morrison
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A multiclass Station with Markovian Feedback in Heavy Traffic

Mathematics of Operations Research, 1995
This paper proves a heavy traffic limit theorem for a multiclass service station with Markovian feedback. This result generalizes the one proved by Reiman (Reiman, M. I. 1988. A multiclass feedback queue in heavy traffic. Adv. Appl. Probab. 20 179–207.). Our approach also significantly simplifies Reiman's original proof.
Jian Gang Dai 0001, Thomas G. Kurtz
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