Online Gaming Traffic Generator for Reproducing Gamer Behavior

Autor:	Sang-Bang Choi, Kang-Min Sohn, Jin-Hyuk Kim, Kwang-Sik Shin, Chang-Joon Park
Rok vydání:	2010
Předmět:	Traffic analysis Goodness of fit business.industry Network packet Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS ComputingMilieux_PERSONALCOMPUTING Nagle's algorithm business Traffic generation model Simulation Computer network
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642153983 ICEC
DOI:	10.1007/978-3-642-15399-0_15
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fbc9b64e1b65026f96b5f0c9744bba3d https://doi.org/10.1007/978-3-642-15399-0_15 Zobrazit plný text záznamu