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Trade & Cap: A customer-managed, market-based system for trading bandwidth allowances at a shared link

机译:交易上限:基于客户管理的基于市场的系统,用于在共享链接上交易带宽配额

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摘要

We propose Trade & Cap (T&C), an economics-inspired mechanism that incentivizes users to voluntarily coordinate their consumption of the bandwidth of a shared resource (e.g., a DSLAM link) so as to converge on what they perceive to be an equitable allocation, while ensuring efficient resource utilization. Under T&C, rather than acting as an arbiter, an Internet Service Provider (ISP) acts as an enforcer of what the community of rational users sharing the resource decides is a fair allocation of that resource. Our T&C mechanism proceeds in two phases. In the first, software agents acting on behalf of users engage in a strategic trading game in which each user agent selfishly chooses bandwidth slots to reserve in support of primary, interactive network usage activities. In the second phase, each user is allowed to acquire additional bandwidth slots in support of a presumed open-ended need for fluid bandwidth, catering to secondary applications. The acquisition of this fluid bandwidth is subject to the remaining "buying power" of each user and by prevalent "market prices" - both of which are determined by the results of the trading phase and a desirable aggregate cap on link utilization. We present analytical results that establish the underpinnings of our T&C mechanism, including game-theoretic results pertaining to the trading phase, and pricing of fluid bandwidth allocation pertaining to the capping phase. Using real network traces, we present extensive experimental results that demonstrate the benefits of our scheme, which we also show the salient features of an efficient implementation architecture, settling the basis for a practical implementation of the system.
机译:我们建议采用交易与上限(T&C),这是一种受经济学启发的机制,旨在激励用户自愿协调他们对共享资源(例如DSLAM链路)带宽的消耗,以便收敛于他们认为是公平分配的水平,同时确保有效利用资源。在T&C之下,Internet服务提供商(ISP)而不是充当仲裁者,而是充当共享资源的理性用户社区决定公平分配该资源的执行者。我们的T&C机制分为两个阶段。首先,代表用户行事的软件代理会参与战略交易游戏,其中每个用户代理都会自私地选择带宽插槽来保留,以支持主要的交互式网络使用活动。在第二阶段,允许每个用户获取额外的带宽时隙,以支持对带宽的假定开放式需求,以适应次级应用。流体带宽的获取取决于每个用户的剩余“购买力”和普遍的“市场价格”,这两者都取决于交易阶段的结果和所需的链路利用率总上限。我们提供的分析结果建立了我们T&C机制的基础,包括与交易阶段有关的博弈论结果,以及与封顶阶段有关的流动带宽分配定价。使用真实的网络轨迹,我们提供了广泛的实验结果,这些结果证明了该方案的好处,同时还展示了高效实现体系结构的显着特征,为系统的实际实现奠定了基础。

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