Knowledge Network Node
Journal of Frontiers of Computer Science and Technology. 2021, (02) Core

Inferring Coflow Size Mechanism Based on ELM in Data Center NetworkChinese Full TextEnglish Full Text (MT)

YE Jin;XIE Ziqi;XIAO Qingyu;SONG Ling;LI Xiaohuan;Guangxi Key Laboratory of Multimedia Communications and Network Technology(School of Computer and Electronic Information, Guangxi University);School of Information and Communication, Guilin University of Electronic Technology;National Engineering Laboratory for Comprehensive Transportation Big Data Application Technology;

Abstract: In recent years, Coflow scheduling has become a research hotspot in data center network. However, it is difficult for existing non-clairvoyant Coflow schedulers to infer the task information quickly. Therefore, small tasks cannot be scheduled in time, making it fail to minimize the average task completion time. Data center network requires effective inferring model to improve the accuracy and sensitivity in inferring Coflow size. This paper proposes a machine learning based Coflow size inferring... More
Keywords：

data center; Coflow size; Coflow scheduling; inferring model; extreme learning machine（ELM）;

  • Series：

    (I) Electronic Technology ＆ Information Science

  • Subject：

    Computer Hardware Technology; Automation Technology

  • Classification Code：

    TP308;TP181

Download the mobile appuse the app to scan this coderead the article.

Tips: Please download CAJViewer to view CAJ format full text.

Download: 158 Page: 261-269 Pagecount: 9 Size: 6242K

Related Literature
  • Similar Article
  • Reader Recommendation
  • Associated Author