A performance study on multi-server DVE systems

Ng, Beatrice; Li, Frederick W. B.; Lau, Rynson W. H.; Si, Antonio; Siu, A.M.K.

doi:10.1016/s0020-0255(03)00036-7

Cited by 17 publications

(4 citation statements)

References 16 publications

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“…In addition, the authors proposed a scalable, clustered server architecture. Further, the authors of [105] conducted a performance study on multiserver based systems for large distributed virtual environments and discussed various implementation issues. The concept of gamelets as a middle layer between monitoring and communication to increase scalability was introduced in [106], such that the logical partitions of the virtual world are assigned to a gamelet for processing.…”

Section: A Client-server Architecturesmentioning

confidence: 99%

An Introduction to Online Video Game QoS and QoE Influencing Factors

Metzger

Geissler

Grigorjew

et al. 2022

IEEE Commun. Surv. Tutorials

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Online video games and cloud gaming are rapidly growing in pervasiveness. Their resource demands can put significant stress on the global communication infrastructure. And network conditions are amongst the chief factors that influence one's enjoyment while playing games. This makes it imperative for video games to be considered for network dimensioning, server placement or protocol development. For that reason, in this work we provide an introduction to the technical aspects of video games in general and of their network aspects in particular. This understanding forms the basis for a rich taxonomy of factors that influence and provide context to a video game's Quality of Service (QoS) and Quality of Experience (QoE). The taxonomy covers influence factors from all aspects involved in a video game, from the subjective player and game influence factors to the system and networking influence factors. Finally, this work gives an overview of conducted and ongoing research as well as future research opportunities while taking into account lessons learned from past approaches.

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Section: A Client-server Architecturesmentioning

confidence: 99%

An Introduction to Online Video Game QoS and QoE Influencing Factors

Metzger

Geissler

Grigorjew

et al. 2022

IEEE Commun. Surv. Tutorials

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“…Lots of researches have been proposed to address the performance issue [8,9,12,14]. We also provide a mechanism for this purpose.…”

Section: Dynamic Load-balancing Mechanismmentioning

confidence: 99%

Load-balancing for peer-to-peer networked virtual environment

Lee

Sun

2006

Proceedings of 5th ACM SIGCOMM Workshop on Network and System Support for Games - NetGames '06

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The trend of games is online games. Most MMORPGs (Massive Multi-user Online Role Playing Games) we can see today are based on client-server architecture.This causes some disadvantages as follows: the server is very expensive and the failure of the server fails the whole game. Besides, the vendor of a game need to provide several servers to allow more players playing at the same time, but players connect to different servers are in the different virtual environments. This paper provides a peer-to-peer architecture with dynamic status information distribution (DSID) mechanism for MMORPG to address the issues occurred in the client-server architecture. We hope to construct a low-cost and flexible architecture that allows all players to interact to each other in the same virtual environment.

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“…A DVE system needs to perform many tasks, such as processing of clients' requests, synchronization, and interaction handling etc [1]. In such environments, avatar refers to a graphical proxy that is directly controlled by a user.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive-Filtering Policy for Distributed Virtual Environments

Chen

Liu

Chen

2006

2006 10th International Conference on Computer Supported Cooperative Work in Design

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In this paper, an adaptive-filtering policy for Distributed Virtual Environments (DVEs) was brought forward. It took advantages of two traditional filtering policies (static-filtering policy and equidistancetransmission policy) and could adaptively select thefittest filtering policy corresponding to current motion characteristic of the virtual object in DVEs. An experiment was designed to compare this filtering policy with the two traditional filtering policies on task performance. Objective (Task Completion Time, State Updates Transmitted and State Updates per Second) and subjective (Filtering Quality) evaluations were recorded in the experiment. The experiment results show that if mean state updates per second is equal or greater than 20 in the task, SUT and SUPS can be decreased by adaptive-filtering policy without task performance affected obviously. However, if mean state updates per second is around 10 in the task accompanied with SUT and SUPS decreased by adaptive-filtering policy, task performance also deteriorated badly.

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A performance study on multi-server DVE systems

Cited by 17 publications

References 16 publications

An Introduction to Online Video Game QoS and QoE Influencing Factors

An Introduction to Online Video Game QoS and QoE Influencing Factors

Load-balancing for peer-to-peer networked virtual environment

An Adaptive-Filtering Policy for Distributed Virtual Environments

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