Online gaming traffic generator for reproducing gamer behavior

Authors:
Kwangsik Shin;Jinhyuk Kim;Kangmin Sohn;Changjoon Park;Sangbang Choi
Affiliations:
Smart Game Research Team, Content Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea;Electronic Engineering Department, Inha University, Incheon, Korea;Smart Game Research Team, Content Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea;Smart Game Research Team, Content Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea;Electronic Engineering Department, Inha University, Incheon, Korea
Venue:
ICEC'10 Proceedings of the 9th international conference on Entertainment computing
Year:
2010

Citing 7
Cited 0

Generating representative Web workloads for network and server performance evaluation

SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Improving web application testing with user session data

Proceedings of the 25th International Conference on Software Engineering
Analysis and Experimentation of an Open Distributed Platform for Synthetic Traffic Generation

FTDCS '04 Proceedings of the 10th IEEE International Workshop on Future Trends of Distributed Computing Systems
Harpoon: a flow-level traffic generator for router and network tests

Proceedings of the joint international conference on Measurement and modeling of computer systems
Tmix: a tool for generating realistic TCP application workloads in ns-2

ACM SIGCOMM Computer Communication Review
Online game testing using scenario-based control of massive virtual users

ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
VENUS: the online game simulator using massively virtual clients

AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we proposed an online gaming traffic generator reflecting user behavior patterns. We analyzed the packet size and inter departure time distributions of a popular FPS game (Left4Dead) and MMORPG (World of Warcraft) for regenerating gaming traffic. The proposed traffic generator generates an inter departure time and gaming packet based on analytical model of the gamer behaviors, then transmits the packet according to the inter departure time. Packet generation results show that generated packets of World of Warcraft is much different with analytical model, unlike Left4Dead. It is caused by Nagle algorithm and Delayed Acknowledgments of TCP. Thus, we disabled the Nagle algorithm in the proposed traffic generator. The generation results show that the revised proposed traffic generator guarantees goodness of fit in the generated traffic distribution.