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Proportionally fair flow control mechanism for best effort traffic in network-on-chip architectures

机译:片上网络体系结构中用于尽力而为流量的按比例公平的流量控制机制

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The research community has recently witnessed the emergence of multi-processor system on chip (MPSoC) platforms consisting of a large set of embedded processors. Particularly, Interconnect networks methodology based on network-on-chip (NoC) in MPSoC design is imminent to achieve high performance potential. More importantly, many well established schemes of networking and distributed systems inspire NoC design methodologies. Employing end-to-end congestion control is becoming more imminent in the design process of NoCs. This paper presents a centralised congestion control scheme in the presence of both elastic and streaming flow traffic mixture. We model the desired best effort source rates as the solution to an optimisation problem with weighted logarithmic objective which is known to admit proportional fairness criterion. The problem is constrained with link capacities while preserving guaranteed service traffics services requirements at the desired level. We propose an iterative algorithm as the solution to the optimisation problem which has the benefit of low complexity and fast convergence, and can be implemented by a controller unit with low computation and communication overhead.
机译:研究团体最近目睹了由大量嵌入式处理器组成的多处理器片上系统(MPSoC)平台的出现。特别是,迫切需要基于MPSoC设计中基于片上网络(NoC)的互连网络方法来实现高性能潜力。更重要的是,许多成熟的网络和分布式系统方案激发了NoC设计方法论。在NoC的设计过程中,采用端到端的拥塞控制变得越来越迫切。本文提出了一种同时存在弹性流和流混合流量的集中拥塞控制方案。我们将期望的尽力而为源速率建模为具有加权对数目标的优化问题的解决方案,已知该对数目标可以接受成比例的公平性标准。该问题受到链路容量的约束,同时将保证的业务流量保持在所需级别的服务需求。我们提出了一种迭代算法作为优化问题的解决方案,该算法具有低复杂度和快速收敛的优点,并且可以由具有低计算量和通信开销的控制器单元来实现。

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