Syed Muhammad Sheraz , Asad Arfeen , Umaima Haider
{"title":"A port consolidation model for data center network infrastructure energy efficiency","authors":"Syed Muhammad Sheraz , Asad Arfeen , Umaima Haider","doi":"10.1016/j.suscom.2024.100973","DOIUrl":null,"url":null,"abstract":"<div><p>Technological advancements have increased the energy consumption of data center network infrastructure causing an increase in global carbon footprints. Consolidation of hardware is considered to be one of the acceptable techniques for reducing energy consumption in data centers. However, consolidation of hardware may result in scarce fault tolerance which consequently leads to performance degradation. Therefore, a technique is required that performs consolidation while data center performance remains unaffected. In this work, a port consolidation model has been proposed. The proposed model diverts the traffic of the ports in a switch to other ports so that the number of active ports can be reduced. The reduction of active ports will result in the energy-efficient utilization of the switch. The proposed diverts the traffic by evaluating the Arrival Rate of packets and the Forwarding Rate of the switch. The proposed algorithm used in the model has been examined through a case study. The proposed model is implemented in integration with our previously proposed network refresh model.</p></div>","PeriodicalId":48686,"journal":{"name":"Sustainable Computing-Informatics & Systems","volume":"42 ","pages":"Article 100973"},"PeriodicalIF":3.8000,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Computing-Informatics & Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210537924000180","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Technological advancements have increased the energy consumption of data center network infrastructure causing an increase in global carbon footprints. Consolidation of hardware is considered to be one of the acceptable techniques for reducing energy consumption in data centers. However, consolidation of hardware may result in scarce fault tolerance which consequently leads to performance degradation. Therefore, a technique is required that performs consolidation while data center performance remains unaffected. In this work, a port consolidation model has been proposed. The proposed model diverts the traffic of the ports in a switch to other ports so that the number of active ports can be reduced. The reduction of active ports will result in the energy-efficient utilization of the switch. The proposed diverts the traffic by evaluating the Arrival Rate of packets and the Forwarding Rate of the switch. The proposed algorithm used in the model has been examined through a case study. The proposed model is implemented in integration with our previously proposed network refresh model.
期刊介绍:
Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.