DocumentCode
2459900
Title
Bandwidth allocation in ATM networks: heuristic approach
Author
Tanthawichian, Piya ; Fujii, Akihiro ; Nemoto, Yoshiaki
Author_Institution
Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
fYear
1998
fDate
12-15 Oct 1998
Firstpage
20
Lastpage
25
Abstract
In this paper, we present a heuristic approach to analyze a boundary of network bandwidth allocated to the source(s). This approach can be applied for call admission control (CAC) in ATM networks. Our approach applies two characteristic functions, a time ε-quantile function to characterize the source behavior and a function to characterize a maximum amount of network bandwidth served by the multiplexer. These two functions are computed independently and when used simultaneously, it allows us to obtain a new and useful notion of the statistical bandwidth allocation. Moreover, we demonstrate the use of our approach on stochastic and deterministic sources. For the deterministic source, we apply our approach to the source characterized by dual leaky bucket-based traffic descriptor. Its upper bound on bandwidth requirement can be easily obtained for performing a CAC function in real time while providing a significant improvement of network utilization when compared to the peak rate-based bandwidth allocation
Keywords
asynchronous transfer mode; bandwidth allocation; stochastic processes; telecommunication congestion control; ATM networks; CAC; call admission control; deterministic source; dual leaky bucket-based traffic descriptor; heuristic approach; multiplexer; network bandwidth allocation; network utilization; source behavior; stochastic source; time ε-quantile function; Asynchronous transfer mode; Bandwidth; Capacity planning; Channel allocation; Computational modeling; Intelligent networks; Multiplexing; Quality of service; Stochastic processes; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications and Networks, 1998. Proceedings. 7th International Conference on
Conference_Location
Lafayette, LA
ISSN
1095-2055
Print_ISBN
0-8186-9014-3
Type
conf
DOI
10.1109/ICCCN.1998.998760
Filename
998760
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