|
ABSTRACT
Smart networks have grown out of the need for stable, reliable, and predictable networks that will guarantee packet delivery under Quality of Service (QoS) constraints. In this article we present a measurement-based admission control algorithm that helps control traffic congestion and guarantee QoS throughout the lifetime of a connection. When a new user requests to enter the network, probe packets are sent from the source to the destination to estimate the impact that the new connection will have on the QoS of both the new and the existing users. The algorithm uses a novel algebra of QoS metrics, inspired by Warshall's algorithm, to look for a path with acceptable QoS values to accommodate the new flow. We describe the underlying mathematical principles and present experimental results obtained by evaluating the method in a large laboratory test-bed operating the Cognitive Packet Network (CPN) protocol.
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
|
Bianchi, G., Capone, A., and Petrioli, C. 2000. Throughput analysis of end-to-end measurement-based admission control in IP. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2000). Tel Aviv, Israel, 1461--1470.
|
 |
2
|
Lee Breslau , Edward W. Knightly , Scott Shenker , Ion Stoica , Hui Zhang, Endpoint admission control: architectural issues and performance, Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, p.57-69, August 28-September 01, 2000, Stockholm, Sweden
|
| |
3
|
Cetinkaya, C. and Knightly, E. W. 2000. Egress admission control. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2000). Tel Aviv, Israel, 1471--1480.
|
| |
4
|
Chen, Z., Gao, L., and Kwiat, K. 2003. Modeling the spread of active worms. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2003). San Francisco, CA, USA.
|
| |
5
|
Elek, V., Karlsson, G., and Ronngren, R. 2000. Admission control based on end-to-end measurements. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2000). Vol. 2. Tel Aviv, Israel, 623--630.
|
 |
6
|
|
| |
7
|
Floyd, S. 1996. Comments on measurement-based admissions control for controlled-load services. Tech. rep., Lawrence Berkeley Laboratory. (July).
|
| |
8
|
|
| |
9
|
|
| |
10
|
|
| |
11
|
E. Gelenbe , R. Lent , A. Montuori , Z. Xu, Cognitive Packet Networks: QoS and Performance, Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'02), p.3, October 11-16, 2002
|
| |
12
|
|
| |
13
|
|
| |
14
|
|
| |
15
|
|
| |
16
|
Gibbens, R. J. and Kelly, F. 1999. Distributed connection acceptance control for a connectionless network. In Proceedings of the 16th International Teletraffic Congress (ITC 99). Vol. 2. Edinburgh, UK, 941--52.
|
| |
17
|
Gibbens, R. J., Kelly, F. P., and Key, P. B. 1995. A decision-theoretic approach to call admission control in atm networks. IEEE J. Sel. Areas Comm. 13, 6 (Feb.), 1101--1114.
|
| |
18
|
Guerin, R., Ahmadi, H., and Naghshineh, M. 1991. Equivalent capacity and its application to bandwidth allocation in high-speed networks. IEEE J. Sel. Areas Comm. 9, 7 (Sep.), 968--981.
|
| |
19
|
|
| |
20
|
ITU. 2001. End-user multimedia QoS categories. Tech. rep., ITU-T Recommendation G.1010. (Nov.).
|
| |
21
|
|
| |
22
|
|
| |
23
|
Perros, H. G. and Elsayed, K. M. 1996. Call admission control schemes: A review. IEEE Comm. Mag. 34, 11 (Nov.), 82--91.
|
| |
24
|
Sakellari, G., D' Arienzo, M., and Gelenbe, E. 2006. Admission control in self aware networks. In Proceedings of the 49th Annual IEEE Global Telecommunications Conference (GLOBECOM 2006). San Francisco, CA.
|
| |
25
|
|
 |
26
|
|
|