Measurement-Based Admission Control
Measurement-based Admission Control (MBAC) is an attractive mechanism
to concurrently offer Quality of Service (QoS) to users, without
requiring a-priori traffic specification and on-line policing. MBAC
simplifies the contract between the user and the network, at the
expense of having to deal with additional uncertainty in the system
due to measurement errors. The benefit of relieving the user of the
burden of a-priori traffic specification, and of relieving the network
of the burden of policing, far outweighs the costs of this
uncertainty, if it can be prevented from compromising the quality of
service experienced by the user. This problem motivates our work. We
attempt to gain an understanding of the impact of parameter estimation
errors, of flow arrival and departure dynamics, and of estimation
memory on the performance of an MBAC system. Our work has culminated
in the design of a robust MBAC scheme which requires minimal parameter
tuning.
M. Grossglauser and D. Tse, "A
Framework for Robust Measurement-Based Admission Control" IEEE/ACM
Transactions on Networking, v. 7, No. 3, June 1999, pp. 293-309.
M. Grossglauser and D. Tse, "A Time-Scale
Decomposition Approach to Measurement-Based Admission Control",
to appear in IEEE/ACM Transactions on Networking, August
2003. (Submitted Aug 2000, revised May 2002, final version July 2003)
This work is supported by the National Science Foundation under
grant #ANI-9814567.