Energy-saving mechanism based on tidal characteristic in computing power network

Ran Pang, Hui Li, Yuefeng Ji, Guangquan Wang, Chang Cao
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引用次数: 2

Abstract

In the Computing power network, based on the tidal characteristic of computing power nodes, with the goal of reducing the overall network energy consumption, the classification between tidal computing power nodes and non-tidal computing power nodes is proposed. This paper also proposes a new anycast routing algorithm with weighted wakeup routing penalty for tidal computing power nodes in sleep state. The simulation results show that the proposed anycast routing algorithm with tidal node classification and wake-up penalty weighted can effectively reduce energy consumption under the premise of meeting the service delay requirements.
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计算能力网络中基于潮汐特性的节能机制
在计算能力网络中,基于计算能力节点的潮汐特性,以降低网络整体能耗为目标,提出潮汐计算能力节点与非潮汐计算能力节点的分类。针对处于休眠状态的潮汐计算能力节点,提出了一种新的带加权唤醒补偿的任播路由算法。仿真结果表明,提出的潮汐节点分类和唤醒惩罚加权的任播路由算法能够在满足业务延迟要求的前提下有效降低能耗。
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