Making Networked Virtual Environments Work

Author:

Greenhalgh Chris,Bullock Adrian,Frécon Emmanuel1,Lloyd David2,Steed Anthony3

Affiliation:

1. Swedish Institute of Computer Science Box 1263 S-164 229 Kista Sweden

2. School of Computer Science and IT, University of Nottingham, Nottingham, NG8 1BB UK

3. Department of Computer Science University College London Gower Street London WC1E 6BT UK

Abstract

Collaborative virtual environments (CVEs) are a promising technology enabling remote participants to share a common place through three-dimensional graphical scenes. Within the COVEN project (Normand, 1999), we have run prolonged series of Internet trials that have allowed us to gather valuable data to formulate usability guidelines and networking requirements. However, running such trials in a real setting and making sure that the application and networking infrastructures will be stable enough is still a challenge. In this paper, we describe some of our experiences, together with the technical choices that have permitted many hours of successful Internet trials. We also make a thorough analysis of different correlated logging data. This analysis allows us to propose and confirm a model of a CVE application's network behavior, together with a number of interesting results that disprove some common assumptions. Furthermore, we use the model and the logging data to highlight the benefits of IP multicasting and for predicting traffic behaviors and bandwidth use on top of different logical network topologies.

Publisher

MIT Press - Journals

Subject

Computer Vision and Pattern Recognition,Human-Computer Interaction,Control and Systems Engineering,Software

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multimodal Data Capture and Analysis of Interaction in Immersive Collaborative Virtual Environments;Presence: Teleoperators and Virtual Environments;2012-11

2. Ensuring the performance and scalability of peer-to-peer distributed virtual environments;Future Generation Computer Systems;2010-07

3. Requirements;Networked Graphics;2010

4. M-GRASP: A GRASP With Memory for Latency-Aware Partitioning Methods in DVE Systems;IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans;2009-11

5. A new system architecture for crowd simulation;Journal of Network and Computer Applications;2009-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3