Similarity-Based Fast Analysis of Data Center Networks

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-12-01 DOI:10.1109/MDAT.2023.3310450

S. Y. Narayana, Emily J. Shriver, Kenneth O'Neal, Nur Yildirim, Khamida Begaliyeva, U. Ogras

引用次数: 0

Abstract

Editor’s notes: The authors in this article present a novel similarity-based technique that clusters similar flows, achieving high speedups without compromising accuracy. —Mahdi Nikdast, Colorado State University, USA —Miquel Moreto, Barcelona Supercomputing Center, Spain —Masoumeh (Azin) Ebrahimi, KTH Royal Institute of Technology, Sweden —Sujay Deb, IIIT Delhi, India

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基于相似度的数据中心网络快速分析

编者按:本文的作者提出了一种新颖的基于相似性的技术，该技术将相似的流聚类，在不影响准确性的情况下实现高速度。-Mahdi Nikdast，美国科罗拉多州立大学-Miquel Moreto，西班牙巴塞罗那超级计算中心-Masoumeh (Azin) Ebrahimi，瑞典皇家理工学院-Sujay Deb，印度德里IIIT

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.