Model-based estimation of buffer overflow probabilities from measurements

Performance Evaluation Review

Volumn 29, Issue 1, 2001, Pages 154-163

  Paschalidis, Ioannis Ch ^a   Vassilaras, Spyridon ^a  

^a BOSTON UNIVERSITY   (United States)

Author keywords

Akaike's information criterion; Effective bandwidth; Estimation; Large deviations; Markov modulated processes

Indexed keywords

BANDWIDTH; MARKOV PROCESSES; QUALITY OF SERVICE; TELECOMMUNICATION TRAFFIC;

BUFFER OVERFLOW;

TELECOMMUNICATION NETWORKS;

EID: 0034832021     PISSN: 01635999     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/384268.378778     Document Type: Conference Paper

References (23)

1. Information theory and an extension of the maximum likelihood principle
2. A large deviation analysis of errors in measurement based admission control to buffered and bufferless resources
3. Entropy of ATM traffic streams: A tool for estimating QoS parameters
4. Effective bandwidths for the multi-type UAS channel
5. Logarithmic asymptotics for steady-state tail probabilities in a single-server queue
6. A framework for robust measurement-based admission control
7. A time-scale decomposition approach to measurement-based admission control
8. Equivalent capacity and its applications to bandwidth allocation in high-speed networks
9. Akaike's information criterion and Kullback-Leibler loss for histogram density estimation
10. Resource allocation for broadband networks
11. On some criteria for estimating the order of a Markov chain
12. Effective bandwidths at multi-class queues
13. Notes on effective bandwidths
14. Admission control for statistical QoS: Theory and practice
15. Modeling video traffic using M/G/∞ input processes: A compromise between Markovian and LRD models
16. Modeling full-length VBR video using Markov-renewal-modulated TES models
17. On the estimation of buffer overflow probabilities from measurements
18. Class-specific quality of service guarantees in multimedia communication networks
19. An introduction to large deviations for communication networks