Cell loss analysis for some alternative priority queues

Real-Time Technology and Applications - Proceedings

Volumn , Issue , 2000, Pages 248-257

  Racz, Andràs ^a  

^a ERICSSON RESEARCH   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE PRIORITY; DYNAMIC MECHANISM; LARGE DEVIATION ANALYSIS; MULTIPLEXING SCHEMES; SCHEDULING AND BUFFER MANAGEMENTS; SERVER RESOURCES; SERVICE PRIORITY; TRADITIONAL ARCHITECTURE;

ALGORITHMS; MULTIPLEXING; MULTIPLEXING EQUIPMENT; QUEUEING NETWORKS; QUEUEING THEORY; SCHEDULING; BUFFER STORAGE; CLIENT SERVER COMPUTER SYSTEMS; CONGESTION CONTROL (COMMUNICATION); DECISION THEORY; NETWORK PROTOCOLS; PACKET NETWORKS; TELECOMMUNICATION TRAFFIC; VOICE/DATA COMMUNICATION SYSTEMS;

BUFFER STORAGE; QUEUEING NETWORKS;

CELL LOSS ANALYSIS;

EID: 0033726826     PISSN: 10801812     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RTTAS.2000.852469     Document Type: Conference Paper

References (14)

1. S. Crosby, I. Leslie, J. Lewis, R. Russell, F. Toomey, and B. McGurk. Statistical properties of a near-optimal measurement-based cac algorithm. In Proceedings IEEE ATM '97, Lisbon, June 1997.
2. J. Daigle and M. Roughan. Queue length distributions for multi-priority queueing systems. In Proceedings IEEE Infocom' 99, New-York, March 1999.
3. S. Delas, R.Mazumdar, and C. Rosenberg. Cell loss asymptotics in priority queues accessed by a large number of independent stationary sources. In Proceedings IEEE Infocom' 99, New-York, March 1999.
4. N. Duffield, J. Lewis, N. O'Connel, R. Russel, and F. Toomey. Entropy of atm traffic streams: a tool for estimating qos parameters. IEEE Journal on Selected Areas in Communications, (13):981-989, 1995.
5. Z. Dziong, K. Liao, and L. Mason. Effective bandwidth allocation and buffer dimensioning in atm based networks with priorities. Computer Networks and ISDN Systems, 25:1065-1078, 1993.
6. L. Gyorfi, A. Racz, K. Duffy, J. Lewis, and F. Toomey. Distribution-free confidence intervals for measurements of effective bandwidth. to appear in the Journal of Applied Probabilities, March 2000.
7. F.Kelly. Notes on Effective Bandwidths, in F.P. Kelly Lecture Note Series 4. Oxford Univ. Press.
8. K. Laevens and H. Bruneel. Discrete-time multiserver queues with priorities. Performance Evaluation, 33(4):249-275, 1998.
9. J. Lewis and R. Russell. An introduction to large deviations for teletraffic engineers. In available from: http://www.stp.dias.ie/APG/.
10. N. O'Connell. Large deviations for departures from a shared buffer. to appear in the Journal of Applied Probability, pages available from: http://www-brims.hpl.hp.com/members/noc-own.html.
11. N. O'Connell. Queue lengths and departures at singleserver resources. to appear in: Stochastic Networks, Oxford University Press, pages available from: http://www-brims.hpl.hp.com/members/noc-own.html.
12. A. Racz. How to build robust call admission control based on on-line measurements. In Proceedings IEEE Globecom' 99, Rio de Janeiro, December 1999.
13. D. Tse, R. Gallager, and J. Tsitsiklis. Statistical multiplexing of multiple time-scale markov streams. IEEE Journal on Selected Areas in Communications, 1995.
14. Z.-L. Zhang. Large deviations and the generalized processor sharing scheduling for a two-queue system. Queueing Systems: Theory and Applications, 26(3-4):229-264, 1997.