Paper Info
Title
MBAC: The measurement error with non-homogeneous flows
Abstract
In Measurement Based Admission Control (MBAC), the decision of accepting or rejecting a new flow is based on measurements of the current traffic. Since MBAC relies on measurements, an in-depth understanding of the measurement error and how it is affected by the underlying traffic is vital for the design of a robust MBAC. The consequence of the measurement error is that flows are accepted in error, a false acceptance and rejected in error, a false rejection. In this paper, the focus is on the prevention of false acceptance as the consequence is QoS violations and a service that may be of little use to the customers. Non-homogeneous flows cause increased complexity for the MBAC algorithm and also for the measurement process. The concept of similar flows is introduced, which is a restriction to simplify the analytical expressions in a non-homogeneous flow environment. This work differs significantly from previous work in the literature in that the measurement error is characterized as it abates with the length of the measurement window.
Year
DOI
Venue
2010
10.1109/LCN.2010.5735750
LCN
Keywords
Field
DocType
new flow,robust mbac,false rejection,mbac algorithm,measurement error,non-homogeneous flow,measurement process,false acceptance,current traffic,measurement window,bandwidth,measurement uncertainty,probability,quality of service,length measurement,measurement errors,stochastic processes
Expression (mathematics),Computer science,Flow (psychology),Length measurement,Computer network,Quality of service,Stochastic process,Measurement uncertainty,Bandwidth (signal processing),Observational error
Conference
ISSN
Citations 
PageRank 
0742-1303
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
Anne Nevin132.18
Peder J. Emstad2585.85