Paper Info
Title
MBAC Robustness to Traffic Variations: A Simulation Study
Abstract
Measurement Based Admission Control (MBAC) has long been recognized as the best method for providing stochastic service guarantees. Since MBAC relies on measurements, the actual performance of MBAC can only be established through simulations or on real networks. There are two main performance measures, 1) How well the MBAC can actually meet the QoS target specified by a flow and 2) how well the MBAC can utilize the network resources. The main work in the literature has mostly been on finding optimal MBAC algorithms that increase network utilization. In this simulation study we focus on an MBAC's ability to meet the QoS target under variations in the number of flow attempts within an interval and variations in flow lifetimes. We introduce an ideal admission controller based on analytical values and show the importance of using this ideal when assessing the performance of an MBAC. Most MBAC algorithms rely on tuning parameters to help in the decision making. Tuning these parameters is a difficult task, and a setting that gives excellent performance under one scenario, may give a very pessimistic or too optimistic performance in another scenario. We show that by adding two policies, the so called pessimistic policy together with a back-off policy, the reliance on tuning parameters diminishes. With these two policies in place we show that an MBAC can perform close to the ideal admission controller under various traffic loads without relying on explicit tuning parameters.
Year
DOI
Venue
2007
10.1109/ECUMN.2007.32
Toulouse
Keywords
Field
DocType
excellent performance,explicit tuning parameter,simulation study,tuning parameter,optimal mbac algorithm,ideal admission controller,actual performance,mbac algorithm,qos target,traffic variations,mbac robustness,main performance measure,optimistic performance,quality of service
Control theory,Resource (disambiguation),Simulation,Quality of service,Robustness (computer science),Measurement based admission control,Engineering,Inflow,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-2768-X
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Anne Nevin132.18
Yuming Jiang287888.36
Peder J. Emstad3585.85