Details
Original language | English |
---|---|
Pages (from-to) | 529-534 |
Number of pages | 6 |
Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
Volume | 1 |
Publication status | Published - 1998 |
Externally published | Yes |
Event | 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5) - San Diego, CA, USA Duration: 11 Oct 1998 → 14 Oct 1998 |
Abstract
In modern broadband systems several on/off traffic sources transmit over a common telecommunication network. Since the network has a finite capacity, the probability of a breakdown due to congestion increases the more sources simultaneously send data packets. In case of a failure due to congestion a time consuming recovery procedure resolves the overload situation. During this procedure no service can be provided for the traffic sources. In this paper we model this scenario with Generalized Stochastic Petri Nets and investigate the influence of several system parameters on the performability of the system. For these parameters (number of traffic sources in the system, length of on/off period in send modus and length of send/idle period of the sources) we try to find optimal settings which maximize the number of transmitted data packets. Optimization was performed with the tool REMO. Moreover we model and optimize a dynamic decision rule which decides dependent on the load situation whether to admit an additional source or not. These investigations could be used to create guidelines for service providers how to optimally operate the system.
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Hardware and Architecture
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In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, 1998, p. 529-534.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Modeling and optimization of on/off sources transmitting data over an unreliable network
AU - Becker, Matthias
AU - Szczerbicka, Helena
PY - 1998
Y1 - 1998
N2 - In modern broadband systems several on/off traffic sources transmit over a common telecommunication network. Since the network has a finite capacity, the probability of a breakdown due to congestion increases the more sources simultaneously send data packets. In case of a failure due to congestion a time consuming recovery procedure resolves the overload situation. During this procedure no service can be provided for the traffic sources. In this paper we model this scenario with Generalized Stochastic Petri Nets and investigate the influence of several system parameters on the performability of the system. For these parameters (number of traffic sources in the system, length of on/off period in send modus and length of send/idle period of the sources) we try to find optimal settings which maximize the number of transmitted data packets. Optimization was performed with the tool REMO. Moreover we model and optimize a dynamic decision rule which decides dependent on the load situation whether to admit an additional source or not. These investigations could be used to create guidelines for service providers how to optimally operate the system.
AB - In modern broadband systems several on/off traffic sources transmit over a common telecommunication network. Since the network has a finite capacity, the probability of a breakdown due to congestion increases the more sources simultaneously send data packets. In case of a failure due to congestion a time consuming recovery procedure resolves the overload situation. During this procedure no service can be provided for the traffic sources. In this paper we model this scenario with Generalized Stochastic Petri Nets and investigate the influence of several system parameters on the performability of the system. For these parameters (number of traffic sources in the system, length of on/off period in send modus and length of send/idle period of the sources) we try to find optimal settings which maximize the number of transmitted data packets. Optimization was performed with the tool REMO. Moreover we model and optimize a dynamic decision rule which decides dependent on the load situation whether to admit an additional source or not. These investigations could be used to create guidelines for service providers how to optimally operate the system.
UR - http://www.scopus.com/inward/record.url?scp=0032254995&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0032254995
VL - 1
SP - 529
EP - 534
JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
SN - 0884-3627
T2 - 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5)
Y2 - 11 October 1998 through 14 October 1998
ER -