|
ABSTRACT
This paper presents a distributed, end-to-end congestion control protocol for use in high-traffic packet switched networks. The network is represented as a stochastic single-server queue, with arrival rates being the control variables. A time-stamp based measure of network state called warp is defined, and it is shown to be an estimator of network utilization. Congestion is modeled explicitly using unimodal load-service rate functions, and its monotonicity property is exploited to yield characterizations of stability and optimality. A protocol based on "perfect" information is analyzed, whose prowess is then shown to be emulated by one which only uses locally computable, delayed information. The main effect of a unimodal load-service function is to induce a division of the phase space into stable and unstable regions, the optimal operating point being its "boundary." Protocols are devised for dealing with each regime separately, rate adjustment protocol being the control that guides the system to the optimal operating point. Proactive rate protocol and reactive rate protocol deal with the issue of the optimal operating point being near to the unstable zone. Protocols for handling fairness and structural perturbation augment the basic suite. The analysis is supported by simulations showing the global dynamical properties of the system.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Ludwig Arnold. Stochastic Differential Equations: Theory and Applications. John Wiley & Sons, 1974.
|
| |
2
|
K. Bala, I. Cidon, and K. Sohraby. Congestion control for high speed packet switched networks, in Proc. IEEE INFOCOM '90, pages 520-526, 1990.
|
| |
3
|
|
| |
4
|
1%. Dighe, C. J. May, and G. Ramamurthy. Congestion avoidance strategies in broadband packet networks. In Proc. IEEE INFOCOM '91, pages 295-303, 1991.
|
 |
5
|
Kerry W. Fendick , Manoel A. Rodrigues , Alan Weiss, Analysis of a rate-based control strategy with delayed feedback, Conference proceedings on Communications architectures & protocols, p.136-148, August 17-20, 1992, Baltimore, Maryland, United States
|
| |
6
|
M. Gerla and L. Kleinrock. Flow control: a comparative survey. IEEE Trans. Commun., COM- 28:553-574, 1980.
|
| |
7
|
Z. Haas and J. Winters. Congestion control by adaptive admission. In Proc. IEEE INFOCOM '91, pages 560-569, 1991.
|
| |
8
|
Jack K. Hale. Functional Differential Equations. Springer-Verlag, 1971.
|
| |
9
|
A. Heddaya, K. Park, and H. Sinha. Using warp to control network contention in mermera. Submitted to HiC$S 'gd, 1993.
|
| |
10
|
A. Hordijk and F. Spieksma. Constrained admission control to a queueing system. Adv. Appl. Prob., 21:409-431, 1989.
|
 |
11
|
|
| |
12
|
F. P. Kelly. The optimization of queueing and loss networks. In O. J. Boxma and R. Syski, editors, Queueing Theory and its Applications. North- Holland, 1988.
|
 |
13
|
|
 |
14
|
|
 |
15
|
|
| |
16
|
S-E A. Mohammed. Stochastic functional differorbital equations, volume 99 of Research Notes in Mathematics. Pitman Advanced Publishing Program, 1984.
|
 |
17
|
|
| |
18
|
G. F. Newell. Applications of Queueing Theory. Chapman and Hall, 2nd edition, 1982.
|
 |
19
|
|
 |
20
|
|
 |
21
|
|
Peer to Peer - Readers of this Article have also read:
-
Data structures for quadtree approximation and compression
Communications of the ACM
28, 9
Hanan Samet
-
A hierarchical single-key-lock access control using the Chinese remainder theorem
Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing
Kim S. Lee
, Huizhu Lu
, D. D. Fisher
-
The GemStone object database management system
Communications of the ACM
34, 10
Paul Butterworth
, Allen Otis
, Jacob Stein
-
Putting innovation to work: adoption strategies for multimedia communication systems
Communications of the ACM
34, 12
Ellen Francik
, Susan Ehrlich Rudman
, Donna Cooper
, Stephen Levine
-
An intelligent component database for behavioral synthesis
Proceedings of the 27th ACM/IEEE Design Automation Conference on
Gwo-Dong Chen
, Daniel D. Gajski
|