Transformation Approach to Model Online Gaming Traffic

Shin, Kyung-A; Kim, Jinhyuk; Sohn, Kang-Min; Park, Chang Joon; Choi, Sang-Bang

doi:10.4218/etrij.11.1510.0087

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…Other MMORPGs have also been modelled: Lineage [16] and World of Legend [17]. All the previously listed models are based on a methodology proposed in [18]; however, a different traffic model for WoW [19] is based on a transformational scheme developed for the highly erratic network traffic of online games.…”

Section: Related Workmentioning

confidence: 99%

“…Such models are also useful for network capacity planning and optimization. However, the traffic of online games in general is very difficult to model [7] and strongly dependant on player behaviour at the application level [8]. What must be taken into account is that an MMORPG allows a wide range of activities, from picking flowers to fighting dragons with the help of some friends, and logically, the game interactivity and usage of network resources vary significantly depending on the deployed task.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the Effect of TCP and Server Population on Massively Multiplayer Games

Sužnjević

Saldaña

Matijašević

et al. 2014

International Journal of Computer Games Technology

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Many Massively Multiplayer Online Role-Playing Games (MMORPGs) use TCP flows for communication between the server and the game clients. The utilization of TCP, which was not initially designed for (soft) real-time services, has many implications for the competing traffic flows. In this paper we present a series of studies which explore the competition between MMORPG and other traffic flows. For that aim, we first extend a source-based traffic model, based on player’s activities during the day, to also incorporate the impact of the number of players sharing a server (server population) on network traffic. Based on real traffic traces, we statistically model the influence of the variation of the server’s player population on the network traffic, depending on the action categories (i.e., types of in-game player behaviour). Using the developed traffic model we prove that while server population only modifies specific action categories, this effect is significant enough to be observed on the overall traffic. We find that TCPVegasis a good option for competing flows in order not to throttle the MMORPG flows and that TCP SACK is more respectful with game flows than other TCP variants, namely,Tahoe, Reno,andNew Reno. Other tests show that MMORPG flows do not significantly reduce their sending window size when competing against UDP flows. Additionally, we study the effect of RTT unfairness between MMORPG flows, showing that it is less important than in the case of network-limited TCP flows.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analyzing the Effect of TCP and Server Population on Massively Multiplayer Games

Sužnjević

Saldaña

Matijašević

et al. 2014

International Journal of Computer Games Technology

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“…Simulation of MMORPG traffic of different behaviours and different access networks is presented in [13], while influence of different TCP versions on coexistence of MMORPG and FTP traffic is investigated in [14]. Shin et al [15] propose a novel method for modelling the network traffic of games. They analyze packet size and inter-arrival times of WoW and first person shooter game Left 4 Dead (L4D) by Turtle Rock Studios.…”

Section: Related Workmentioning

confidence: 99%

Scalable software architecture for distributed MMORPG traffic generation based on integration of UrBBaN-Gen and IMUNES

Vasić

Sužnjević

Mikuc

et al. 2012

JCOMSS

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We present a scalable software architecture for distributed traffic generation capable of producing Massively Multiplayer Online Role-Playing Game (MMORPG) packet flows in a statistically accurate manner for thousands of concurrent players. The main challenge, to achieve truly massive scale traffic generation, has been achieved by introducing kernel based virtualization, pioneered by the network simulator/emulator IMUNES, into the User Behaviour Based Network Traffic Generation (UrBBan-Gen, introduced in our earlier work). The UrBBan-Gen software architecture consists of four modules: Service repository, Control function and user interface, Behaviour process, and Traffic generation process. IMUNES has been integratedinto the virtualization part of the Traffic generation process,which has resulted in two improvements: 1) increasing thenumber of generated packet flows while accurately replicating the required statistical properties, and, 2) introducing the ability to run various network scenarios in simulated, as well as real networks, under realistic traffic loads. With respect to the traffic generation capabilities of the previous version of UrBBan-Gen, which was based on Linux containers, the IMUNES based solution demonstrates higher scalability, lower packet loss rates, and lower CPU load for both the UDP traffic at high packet rate and “thin” TCP traffic flows typical for MMORPGs.

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“…In the figure, Analytical Model is a result of analysis for each online game. Since online gaming traffic is typically messy data that is very difficult to analyze, we already studied an analytical model designing method for gaming traffic in a preliminary work [16].…”

Section: Architecturementioning

confidence: 99%

Online Gaming Traffic Generator for Reproducing Gamer Behavior

Shin

Kim

Sohn

et al. 2010

Lecture Notes in Computer Science

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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.

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Transformation Approach to Model Online Gaming Traffic

Cited by 8 publications

References 7 publications

Analyzing the Effect of TCP and Server Population on Massively Multiplayer Games

Analyzing the Effect of TCP and Server Population on Massively Multiplayer Games

Scalable software architecture for distributed MMORPG traffic generation based on integration of UrBBaN-Gen and IMUNES

Online Gaming Traffic Generator for Reproducing Gamer Behavior

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