Principle of Autonomous Decentralized Flow Control and Layered Structure of Network Control with Respect to Time Scales
Principle of Autonomous Decentralized Flow Control and Layered Structure of Network Control with Respect to Time Scales
复制标题
自主分散流量控制原理与时间尺度网络控制分层结构
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
C. Takano
中科院分区：
文献类型：
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作者：
Masaki Aida;C. Takano
网络中的网络控制机制可以按照个体控制生效的时间尺度进行分类，并形成相对于时间尺度的分层结构。在高速网络中，每个节点的处理速度很高，但传播延迟与较慢的网络中相同，因为它受到光速的限制。因此，短时间尺度上的网络控制框架应该是一个自治的分散系统[1]。我们提出了一种适用于高速网络的自主分散流量控制机制[2]，并研究了其稳定性和对动态网络状态的适应性[3]。在本文中，为了阐明我们的流量控制机制的目的，我们从以下三个角度进行补充说明： • 网络控制在时间尺度上的分层结构以及短时间尺度上自主分散控制的必然性。 • 节点局部决策与整个网络性能之间的关系，以实现作为微宏链路的高全局性能。 • 我们的流量控制原理源自并行计算的高效框架，作为通过控制本地决策来实现适当的全局性能的实际方法。
Network control mechanisms in networks can be categorized by the time scales on which an individual control takes effect and they form a layered structure with respect to the time scales. In high-speed networks, the processing speed of each node is high but the propagation delay is the same as in slower networks, because it is constrained by the speed of light. So, the framework of network control on a short time scale should be an autonomous decentralized system [1]. We have proposed an autonomous decentralized flow control mechanism applicable to high-speed networks [2], and have investigated its stability and adaptability to dynamic network state [3]. In this article, to clarify the aim of our flow control mechanism, we show supplemental explanations from the following three points of view: • Layered structure of network control with respect to time scale and the inevitability of autonomous decentralized control on a short time scale. • The relationship between local decision making at a node and the performance of the whole network, in order to achieve high global performance as a micromacro link. • The principle of our flow control derived from the efficient framework of parallel computing as an actual approach to realize appropriate global performance by controlling local decision making.