By Karl P. Pfeiffer, Georg Göbel, Karin Leitner (auth.), Burkhard Stiller, Georg Carle, Martin Karsten, Peter Reichl (eds.)
This booklet constitutes the joint refereed lawsuits of the fifth COST264 foreign Workshop on Networked workforce Communications, NGC 2003, and the third overseas Workshop on net Charging and QoS applied sciences, ICQT 2003, held in Munich, Germany, in September 2003.
The 25 revised complete papers and six revised brief papers offered have been conscientiously reviewed and chosen from a complete of seventy eight submissions. The papers are prepared in topical sections on software multicast aid, anycast and seek in peer-to-peer networks, peer-to-peer structures, safety and multicasting, multicast mechanisms, keep an eye on algorithms, multicast pricing and site visitors, routing and economics, and pricing and source management.
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Additional info for Group Communications and Charges. Technology and Business Models: 5th COST 264 International Workshop on Networked Group Communications, NGC 2003 and 3rd International Workshop on Internet Charging and QoS Technologies, ICQT 2003, Munich, Germany, Septemb
Sample text
The impact of packet loss is shown on group size estimate when only uncorrelated losses occur at receiver links (left panel), and when they occur adjacent to the sender’s link (right panel). Results are shown for a multicast group following the death-immigration process, and for several values of loss probabilities π and Q. We performed simulations with packet loss for multicast groups whose membership size followed the above-mentioned DI and H dynamics, as well as groups with time-independent membership size.
Matta, J. 18-28, April 2000. com Abstract. We develop an end-to-end protocol for real-time estimation of the size of dynamic multicast groups. Unlike previously proposed methods our approach alleviates feedback implosion in a dynamic setting, and is scalable to large groups. The protocol is based on probabilistic polling combined with adaptive feedback control, and the use of a time-dependent Wiener filter to enhance estimation accuracy. We examine the performance of our protocol through simulations for multicast groups with up to 10, 000 members, and different scenarios of group membership dynamics.
R. Grimmet and D. R. Stirzaker, “Probability and Random Processes”, Clarendon Press, Oxford, UK, 1992. 14. M. Abramovitz and I. Stegun. “Handbook of Mathematical Functions”, Dover Publications, New York, USA, 1972. 15. See F. Hiaswatsch, G. Matz, H. Kirchauer, and W. Kozek. “Time-frequency formulation, design, and implementation of time-varying optimal filters for signal estimation”, IEEE Transactions on Signal Processing, Vol. 48, pp. 1417-1432, and references therein. 16. R. J. Jacobs, M. D. Walker, and R I M Jeffry.