Measurement and Analysis of Large DIstributed Virtual EnvironmentS

Previous research in NVE mainly based their design on assumptions on how avatars behave, and use randomly generated movements to evaluate their design. We believe that there is a gap between these assumptions/randomly generated movements and how real avatar behave. To bridge the gap, we collected mobility traces of 84,208 avatars spanning 22 regions over two months in Second Life, a popular networked virtual environment. We analyzed the traces to characterize the dynamics of the avatars mobility and behavior, both temporally and spatially. We discuss the implications of the our findings to the design of peer-to-peer networked virtual environments, interest management, mobility modeling of avatars, server load balancing and zone partitioning, client-side caching, and prefetching.

  • Avatar Mobility in User-Created Networked Virtual Worlds: Measurements, Analysis, and Implications Huiguang Liang, Ransi Nilaksha De Silva, Wei Tsang Ooi, Mehul Motani Multimedia Tools and Applications, Special Issue on Massively Multiplayer Online Gaming Systems and Applications. This is an extended version of the arXiv paper. Please email us for a PDF version.
  • Avatar Mobility in Networked Virtual Environments: Measurements, Analysis, and Implications Huiguang Liang, Ian Tay, Ming Feng Neo, Wei Tsang Ooi, Mehul Motani arXiv:0807:2328v1 [arXiv] [PDF]

You may download the traces we used in our paper here. The traces are made publicly available for academic and research purposes. Please give proper credits and cite our work if you do write a paper using our traces.

Download traces (37MB) Version 1.1, Released 20 June 2009. This set of traces adds traces from Freebies on additional days, collected over random days in a year. It corresponds to the data set reported in the MTAP journal paper.

Download traces (12MB) Version 1.0, Released 20 July 2008. This set of traces corresponds to the data set reported in the arXiv version of our paper.