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Greedy Algorithms for Client Assignment in Large-Scale Distributed Virtual Environments

机译:大规模分布式虚拟环境中客户端分配的贪婪算法

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Distributed Virtual Environments (DVEs), such as online games, military simulations, collaborative design, etc., are very popular nowadays. To support large-scale DVEs, a multi-server architecture is usually employed, and the virtual world is partitioned into multiple zones for load distribution. The client assignment problem arises when assigning the participating clients to the servers. Current approaches usually assign clients to servers according to the locations of clients in the virtual world, i.e., clients interacting in the same zone of the virtual world will be assigned to the same server. This approach may degrade the interactivity of DVEs if the network delay from a client to its assigned server is large. In this paper, we formulate the client assignment problem, and propose two algorithms to assign clients to servers in a more efficient way. The proposed algorithms are based on the heuristics developed for the well-known Terminal Assignment problem. Simulation results with the BRITE Internet Topology Generator show that our algorithms are effective in enhancing the interactivity of DVEs.
机译:如今,诸如在线游戏,军事模拟,协作设计等分布式虚拟环境(DVE)十分流行。为了支持大型DVE,通常采用多服务器体系结构,并将虚拟世界划分为多个区域以进行负载分配。将参与的客户端分配给服务器时,会出现客户端分配问题。当前的方法通常根据虚拟世界中客户端的位置将客户端分配给服务器,即,在虚拟世界的相同区域中进行交互的客户端将被分配给同一服务器。如果从客户端到其分配的服务器的网络延迟很大,则此方法可能会降低DVE的交互性。在本文中,我们制定了客户端分配问题,并提出了两种算法以更有效的方式将客户端分配给服务器。所提出的算法基于针对众所周知的终端分配问题开发的启发式算法。 BRITE Internet拓扑生成器的仿真结果表明,我们的算法在增强DVE的交互性方面有效。

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