A scalable interest management scheme for distributed virtual environments

2008 ◽  
Vol 19 (2) ◽  
pp. 129-149 ◽  
Author(s):  
Seunghyun Han ◽  
Mingyu Lim ◽  
Dongman Lee ◽  
Soon J. Hyun
2014 ◽  
Vol 46 (4) ◽  
pp. 1-42 ◽  
Author(s):  
Elvis S. Liu ◽  
Georgios K. Theodoropoulos

2007 ◽  
Vol 16 (2) ◽  
pp. 125-156 ◽  
Author(s):  
Dongman Lee ◽  
Mingyu Lim ◽  
Seunghyun Han ◽  
Kyungmin Lee

A distributed virtual environment (DVE) is a software system that allows users in a network to interact with each other by sharing a common view of their states. As users are geographically distributed over large networks like the internet and the number of users increases, scalability is a key aspect to consider for real-time interaction. Various solutions have been proposed to improve the scalability in DVE systems but they are either focused on only specific aspects or customized to a target application. In this paper, we classify the approaches for improving scalability of DVE into five categories: communication architecture, interest management, concurrency control, data replication, and load distribution. We then propose a scalable network framework for DVEs, ATLAS. Incorporated with our various scalable schemes, ATLAS meets the scalability of a system as a whole. The integration experiences of ATLAS with several virtual reality systems ensure the versatility of the proposed solution.


2000 ◽  
Vol 9 (1) ◽  
pp. 52-68 ◽  
Author(s):  
Katherine L. Morse ◽  
Lubomir Bic ◽  
Michael Dillencourt

Large-scale distributed simulations model the activities of thousands of entities interacting in a virtual environment simulated over wide-area networks. Originally these systems used protocols that dictated that all entities broadcast messages about all activities, including remaining immobile or inactive, to all other entities, resulting in an explosion of incoming messages for all entities, most of which were of no interest. Using a filtering mechanism called interest management, some of these systems now allow entities to express interest in only the subset of information that is relevant to them. This paper surveys ten such systems, describing the purpose of the system, its scope, and the salient characteristics of its interest management scheme. We present the first taxonomy for such systems and classify the ten systems according to the taxonomy. The analysis of the classification reveals the fundamental nature of interest management and points to potential areas of research.


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