Ran Pang, Hui Li, Yuefeng Ji, Guangquan Wang, Chang Cao
{"title":"Energy-saving mechanism based on tidal characteristic in computing power network","authors":"Ran Pang, Hui Li, Yuefeng Ji, Guangquan Wang, Chang Cao","doi":"10.1109/NaNA53684.2021.00033","DOIUrl":null,"url":null,"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.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Networking and Network Applications (NaNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NaNA53684.2021.00033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.