网络中的资源分配:影响模型的案例研究

Proceedings of the 35th Annual Hawaii International Conference on System Sciences Pub Date : 2002-08-07 DOI:10.1109/HICSS.2002.993978

Sandip Roy, B. Lesieutre, G. Verghese

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引用次数: 12

摘要

本文从影响模型这一由相互作用的马尔可夫链组成的随机网络模型出发，研究了网络中的资源分配问题。首先，提出了一些关于影响模型的新结果。其次，提出了一个具体的资源分配问题，并对三种不同的资源分配方法进行了描述和分析。每种方法都探讨了资源分配的结构和网络的最终行为。最后，讨论了关于这些资源分配过程的一些更一般的见解。

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Resource allocation in networks: a case study of the influence model

The allocation of resources in networks is studied in the context of the influence model, a stochastic network model composed of interacting Markov chains. First, some new results regarding the influence model are presented. Next, a specific resource allocation problem is posed, and three different methods for allocating resource are described and analyzed. Both the structure of the resource allocation and the resulting behavior of the network are explored for each method. Finally, some more general insights about these resource allocation procedures are discussed.

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Proceedings of the 35th Annual Hawaii International Conference on System Sciences

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