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ABSTRACT
In this paper we attempt to gain an understanding of the behaviour of users in a multipoint, interactive communication scenario. In particular, we wish to understand the dynamics of user participation at a session level. We present wide-area session level traces of the popular multiplayer networked games Quake and Half-Life. These traces were gathered by regularly polling 2256 game servers located all over the Internet, and querying the number of players present at each server and how long they had been playing. We analyse three specific features of the data: the number of players in a game, the interarrival times between players and the length of a player's session. We find significant time-of-day and network externality effects in the number of players. Player duration times fit an exponential distribution, while interarrival times fit a heavy-tailed distribution. The implications of our findings are discussed in the context of provisioning and charging for network quality of service for multipoint and multicast transmission. This work is ongoing.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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1
|
3Com. Scorn scores with modem geared towards serious garners, Oct. 25, 1999. http://www.3com.com/corpinfo/en-US/pressbox/ press_release.jsp?INFO_ID=2OOi253.
|
| |
2
|
|
| |
3
|
R. A. Bangun, E. Dutkiewica, and G. Anido. An analysis of multi-player network games traffic. In Proceedings of 1999 International Worlcshop on Multimedia Signal Processing, pages 3-8, Copenhagen, Denmark, Sept. 1999.
|
| |
4
|
V. A. Bolotin. Modeling call holding time distributions for CCS network design and performance analysis. IEEE ,Journal of Selected Areas In Communications, 12(3):4333438, Apr. 1994.
|
| |
5
|
M. S. Borella. Source models of network game traffic. Computer Communications, 23(4):4033410, Feb. 15, 2000.
|
| |
6
|
|
| |
7
|
C. Chatfield. The Analysis of Time Series. Chapman & Hall, London, UK, fifth edition, 1996.
|
| |
8
|
|
| |
9
|
|
| |
10
|
C. Diot, B. N. Levine, B. Lyles, H. Kassem, and D. Balensiefen. Deployment issues for the IP multicast service and architecture. IEEE Network, 14(1):78888, Jan. 2000.
|
| |
11
|
N. Economides and C. Himmelberg. Critical mass and network evolution in telecommunications. In Proceedings of the 22nd Telecommunications Policy Research Conference, Solomon's Island, MD, Oct. 1994.
|
 |
12
|
|
| |
13
|
GameSpy. http: //www. gamespy3d. corn.
|
| |
14
|
Half-Life. http://www.sierrastudios.com/games/half-life/.
|
| |
15
|
T. N. H. Henderson and S. N. Bhatti. Protocol-independent multicast pricing. In Proceedings of the 10th International Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV), pages 11-17, Chapel Hill, NC, June 2000.
|
| |
16
|
D. Henriet and H. Moulin. Traffic-based cost allocation in a network. RAND Journal of Economics, 27(2):332-345, Summer 1996.
|
| |
17
|
B. M. Hill. A simple general approach to inference about the tail of a distribution. The Annals of Statistics, 3(5):1163-1174, Sept. 1975.
|
| |
18
|
M. L. Katz and C. Shapiro. Network externalities, competition, and compatibility. American Economic Review, 75(3):424&440, June 1985.
|
| |
19
|
F. P. Kelly. Charging and rate control for elastic traffic. European Transactions on Telecommunications, 8(1):33-37, Jan./Feb., 1997.
|
| |
20
|
A. Legout, J. Nonnenmacher, and E. Biersack. Bandwidth allocation policies for unicast and multicast flows. In Proceedings of the 18th IEEE Conference on Computer Communications (INFOCOM), pages 254-261, New York, NY, Mar. 1999.
|
| |
21
|
J. K. MacKie-Mason and H. R. Varian. Some economics of the Internet. In W. Sichel and D. L. Alexander, editors, Networks, Infrastructure and the New Task for Regulation. University of Michigan Press, 1996.
|
| |
22
|
S. McCreary and K. Claffy. Trends in wide area IP traffic patterns: A view from Ames Internet Exchange. In ITC Specialist Seminar on IP Trafic Modeling, Measurement and Management, Monterey, CA, Sept. 2000.
|
| |
23
|
R. M. Metcalfe. The Internet after the fad. In The 1996 Monticello Lectures, Monticello, VA, May 1996.
|
| |
24
|
T. Monk and K. Claffy. Internet data acquisition and analysis: Status and next steps. In Proceedings of the 7th Internet Society Conference (INET), Kuala Lumpur, Malaysia, June 1997.
|
| |
25
|
A. Patrizio. Coming soon: Pay-per-game. Wired News, Oct. 20, 2000. http://www.wired.com/news/culture/ 0,1284,39505,00.html.
|
| |
26
|
|
| |
27
|
QStat. http://www.qstat.org.
|
| |
28
|
D. P. Reed. Weapon of math destruction. Context Magazine, Spring 1999.
|
| |
29
|
Urban Mercenary. http: //www. urbanmercenary. corn.
|
| |
30
|
|
CITED BY 21
|
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Jun-Hong Cui , Michalis Faloutsos , Dario Maggiorini , Mario Gerla , Khaled Boussetta, Measuring and modelling the group mmbership in the internet, Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement, October 27-29, 2003, Miami Beach, FL, USA
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|
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|
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Kieran Mansley , David Scott , Alastair Tse , Anil Madhavapeddy, Feedback, latency, accuracy: exploring tradeoffs in location-aware gaming, Proceedings of 3rd ACM SIGCOMM workshop on Network and system support for games, August 30-30, 2004, Portland, Oregon, USA
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|
|
|
|
|
Chris Chambers , Wu-chi Feng , Wu-chang Feng , Debanjan Saha, A geographic redirection service for on-line games, Proceedings of the eleventh ACM international conference on Multimedia, November 02-08, 2003, Berkeley, CA, USA
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|
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Chris Chambers , Wu-chang Feng , Sambit Sahu , Debanjan Saha, Measurement-based characterization of a collection of on-line games, Proceedings of the Internet Measurement Conference 2005 on Internet Measurement Conference, p.1-1, October 19-21, 2005, Berkeley, CA
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