Abstract | ||
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In this paper we characterize the time-dependent behavior of typical queueing systems that arise in ATM networks under the presense of overloads. Transient queue length distribution and transient cell loss probability are obtained numerically and transient characteristics such as maximum overshoot and relaxation time are used to quantify the effects of congestion periods. A new measure, Expected Excess Loss in Overload (EELO) is defined to quantify the effects of overload when compared with the system behavior in the steady-state regime. The basic modeling technology that we use is an extended form of Stochastic Petri nets and a software tool called the Stochastic Petri net package (SPNP). |
Year | DOI | Venue |
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1996 | 10.1109/INFCOM.1996.493039 | INFOCOM |
Keywords | DocType | ISSN |
stochastic petri,stochastic petri net,basic modeling technology,time-dependent behavior,transient cell loss probability,transient behavior,system behavior,expected excess loss,atm network,transient characteristic,transient queue length distribution,probability,petri nets,computer networks,queueing theory,steady state,queuing system,length measurement,stochastic processes,asynchronous transfer mode,relaxation time,stochastic petri nets | Conference | 0743-166X |
ISBN | Citations | PageRank |
0-8186-7292-7 | 21 | 2.00 |
References | Authors | |
5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chang-Yu Wang | 1 | 21 | 2.00 |
Dimitris Logothetis | 2 | 108 | 9.29 |
Trivedi, K.S. | 3 | 7721 | 700.23 |
viniotis ioannis | 4 | 44 | 6.23 |