Skip to main content

OpenGL|D - An Alternative Approach to Multi-user Architecture.

Pedersen, K., Gatzidis, C. and Tang, W., 2018. OpenGL|D - An Alternative Approach to Multi-user Architecture. In: Gavrilova, M., Tan, C. and Sourin, A., eds. Transactions on Computational Science XXXII. Berlin, Germany: Springer, 57 - 74.

Full text available as:

[img]
Preview
PDF
aamua.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

1MB

DOI: 10.1007/978-3-662-56672-5_5

Abstract

© Springer-Verlag GmbH Germany, part of Springer Nature 2018. Synchronising state between multiple connected clients can be a challenging task. However, the need to carry this out is becoming much greater as a larger number of software packages are becoming collaborative across a network. Online multiplayer games in particular are already extremely popular but the synchronisation methods and architecture have largely remained the same. OpenGL|Distributed, presented here, aims to provide not only an alternative to this architecture allowing for a greatly simplified development pipeline, but also the opportunity for a number of additional features and design patterns. The architecture provided by OpenGL|D is such that no state information needs to be transferred between clients. Instead, the OpenGL API has been utilised as a platform agnostic protocol. This means that graphical calls can be streamed to each client rather than relying on manual synchronisation of application domain specific data. Initial test results are discussed, including performance evaluation using data from a number of small prototypes developed within a constrained 48-h timeframe. These results are compared and evaluated against a more traditional approach to network multiplayer by id Software’s QuakeWorld client. It should be noted that this article is an extended version of the work we published in the proceedings of the Cyberworlds 2017 conference [1].

Item Type:Book Section
ISBN:9783662566718
Series Name:Lecture Notes in Computer Science
Issue:vol 10830
ISSN:0302-9743
Group:Faculty of Science & Technology
ID Code:31543
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:10 Dec 2018 15:12
Last Modified:07 Mar 2019 01:08

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -