Adaptive Frame Coalescing in Energy Efficient Ethernet With Model Predictive Control and Queuing Theory

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-19 DOI:10.1109/TGCN.2024.3379289
Omer Gursoy;Nail Akar
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Abstract

Frame coalescing is a well-established technique which manages the low power idle (LPI) mode supported by energy efficient Ethernet (EEE) interfaces. Frame coalescing enables EEE interfaces to remain in the LPI mode for a certain amount of time upon the arrival of the first frame (timer-based coalescing), or until a predefined amount of traffic accumulates in the transmission buffer (size-based coalescing). In this paper, we propose a novel open-loop dynamic coalescing technique that is based on model predictive control (MPC) and queuing theory. In contrast to conventional timer-based coalescing, the proposed method enables the update of the timer parameter repeatedly throughout the duration of the LPI mode of a single coalescing cycle by taking into account the arrival instants and sizes, of the frames waiting in the buffer. Two different methods, namely MPC-mean and MPC-tail, are proposed which attempt to minimize the energy consumption of the Ethernet link, under constraints on mean and tail of the queue waiting time, respectively. The effectiveness of the proposed dynamic MPC-based coalescing algorithms are validated using simulations with synthetic and actual traffic traces.
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利用模型预测控制和队列理论在高能效以太网中实现自适应帧聚合
帧聚合是一种成熟的技术,用于管理节能以太网(EEE)接口支持的低功耗空闲(LPI)模式。帧聚合可使 EEE 接口在第一个帧到达时(基于定时器的聚合)或传输缓冲区中的流量累积到预定量(基于大小的聚合)之前的一定时间内保持 LPI 模式。在本文中,我们提出了一种基于模型预测控制(MPC)和排队理论的新型开环动态聚合技术。与传统的基于定时器的凝聚相比,所提出的方法通过考虑缓冲区中等待帧的到达时间和大小,在单个凝聚周期的 LPI 模式持续时间内反复更新定时器参数。本文提出了两种不同的方法,即 MPC-mean(平均值)和 MPC-tail(尾值),这两种方法分别试图在队列等待时间的平均值和尾值的约束条件下,最大限度地降低以太网链路的能耗。通过使用合成和实际流量跟踪进行仿真,验证了所提出的基于 MPC 的动态聚合算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
期刊最新文献
2024 Index IEEE Transactions on Green Communications and Networking Vol. 8 Table of Contents Guest Editorial Special Issue on Rate-Splitting Multiple Access for Future Green Communication Networks IEEE Transactions on Green Communications and Networking IEEE Communications Society Information
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