Generalized Predictive Control of the Time Window for Energy Efficient Ethernet With Prediction
Generalized Predictive Control of the Time Window for Energy Efficient Ethernet With Prediction
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DOI：
10.1109/lcomm.2021.3051626
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
Wanchun Jiang;Jie Wang;Lijuan Peng;Jianxin Wang
中科院分区：
文献类型：
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作者：
Wanchun Jiang;Jie Wang;Lijuan Peng;Jianxin Wang
确定进入和离开低功率空闲（LPI）状态的时机的策略对于节能以太网的功率节省和引起的排队延迟是至关重要的。最近提出的新策略EEEP（具有预测的节能以太网）通过在固定的时间窗口内分配LPI持续时间来实现良好的节能和有限的延迟。在这封信中，我们观察到的平均引起的延迟线性增加，而能量消耗率曲线是双曲线的时间窗口参数的增加。因此，当性能由定义为功耗比和平均排队延迟的线性组合的成本量化时，最优时间窗口参数将使成本最小化。在此基础上，提出了GPC-EEEP控制策略，利用广义预测控制方法自动调整EEEP的时间窗参数到最优值。仿真结果表明，GPC-EEEP算法能够根据动态业务量自动调整时间窗口参数，显著提高了网络开销。
The strategy of determining the occasion to enter and leave the Low Power Idle (LPI) state is crucial to the power savings and incurred queuing delays of the Energy Efficient Ethernet. The novel strategy EEEP (Energy Efficient Ethernet with Prediction) proposed recently achieves good energy-saving and limited latency by allocating the LPI duration within a fixed time window. In this letter, we observe that the average incurred delays increase linearly while the energy consumption ratio curve is hyperbolic with the increase of the time window parameter. Accordingly, when the performance is quantified by the cost defined as a linear combination of power consumption ratio and average queuing delay, an optimal time window parameter would minimize the cost. Furthermore, we propose the GPC-EEEP strategy, which automatically adjusts the time window parameter of EEEP to the optimal value with the generalized predictive control method. Simulations driven by both synthetic traffic and real traces confirm that GPC-EEEP significantly improves the cost by automatically settling the time window parameter according to dynamic traffic.