DocumentCode
1897748
Title
Bit Loss Probability versus Loss Probability in the Admission Control Process of Non-Elastic Traffic Sources
Author
Ioan, Lucian ; Niculescu, Grazziela
Author_Institution
Telecommun. Dept., Politeh. Univ. of Bucharest, Bucharest
fYear
2008
fDate
8-13 June 2008
Firstpage
133
Lastpage
137
Abstract
Admission control is one of the key functions performed by the management of services and network resources in order to guarantee the QoS requirements of different types of traffic flows. In the case of non-elastic traffic streams, the admission control is typically based on a formula derived by assuming that the traffic aggregate may be approximated by a Gaussian distribution and considering the loss probability, i.e. the buffer overflow probability, as the QoS parameter. In this paper we consider an alternative QoS parameter that is the bit loss probability that is the long term proportion of lost bits, which is more related to the current measurements (e.g. throughput or packet loss rate) than the loss probability. Therefore, we derive an appropriate computational formula for the effective bandwidth which, as numerical results show, is more accurate and, consequently, assures a more efficient admission control mechanism.
Keywords
Gaussian distribution; quality of service; subscriber loops; telecommunication network management; telecommunication traffic; Gaussian distribution; QoS; admission control process loss probability; bit loss probability; effective bandwidth; non-elastic traffic sources; traffic aggregation; Admission control; Aggregates; Bandwidth; Buffer overflow; Communication system traffic control; Gaussian distribution; Probability; Resource management; Subscriptions; Telecommunication traffic; Admission Control; bit loss probability; bufferless statistical multiplexing; effective bandwidth; loss probability; non-elastic traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications, 2008. AICT '08. Fourth Advanced International Conference on
Conference_Location
Athens
Print_ISBN
978-0-7695-3162-5
Electronic_ISBN
978-0-7695-3162-5
Type
conf
DOI
10.1109/AICT.2008.34
Filename
4545515
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