Quantifying the Uncertainty in Measurements for MBAC

Authors:
Anne Nevin;Peder J. Emstad;Yuming Jiang;Guoqiang Hu
Affiliations:
Centre for Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Centre for Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Centre for Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Centre for Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Venue:
EUNICE '09 Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop on The Internet of the Future
Year:
2009

Citing 6
Cited 1

A framework for bandwidth management in ATM networks—aggregate equivalent bandwidth estimation approach

IEEE/ACM Transactions on Networking (TON)
A framework for robust measurement-based admission control

IEEE/ACM Transactions on Networking (TON)
A time-scale decomposition approach to measurement-based admission control

IEEE/ACM Transactions on Networking (TON)
What are our standards for validation of measurement-based networking research?

ACM SIGMETRICS Performance Evaluation Review
A decision-theoretic approach to call admission control in ATM networks

IEEE Journal on Selected Areas in Communications
Admission control for statistical QoS: theory and practice

IEEE Network: The Magazine of Global Internetworking

MBAC: impact of the measurement error on key performance issues

EUNICE'10 Proceedings of the 16th EUNICE/IFIP WG 6.6 conference on Networked services and applications: engineering, control and management

Quantified Score

Hi-index	0.00

Visualization

Abstract

In Measurement Based Admission Control (MBAC), the decision of accepting or rejecting a new flow is based on measurements of the current traffic situation. An in-depth understanding of the measurement error and its uncertainty is vital for the design of a robust MBAC. In this work, we study the measured parameters used by the MBAC and characterize their error. Our work differs significantly from previous work in that we find how the uncertainty in the measurements varies with the length of the observation window.