Machine learning-based analysis of COVID-19 pandemic impact on US research networks

被引：1

作者：

Kiran M. ^{[1
]}

Campbell S. ^{[1
]}

Wala F.B. ^{[1
]}

Buraglio N. ^{[1
]}

Monga I. ^{[1
]}

机构：

[1] Energy Sciences Network (ESnet), Berkeley

来源：

Computer Communication Review | 2021年 / 51卷 / 04期

关键词：

clustering; COVID-19; network performance; research networks;

D O I：

10.1145/3503954.3503958

中图分类号：

学科分类号：

摘要：

This study explores how fallout from the changing public health policy around COVID-19 has changed how researchers access and process their science experiments. Using a combination of techniques from statistical analysis and machine learning, we conduct a retrospective analysis of historical network data for a period around the stay-At-home orders that took place in March 2020. Our analysis takes data from the entire ESnet infrastructure to explore DOE high-performance computing (HPC) resources at OLCF, ALCF, and NERSC, as well as User sites such as PNNL and JLAB. We look at detecting and quantifying changes in site activity using a combination of t-Distributed Stochastic Neighbor Embedding (t-SNE) and decision tree analysis. Our findings bring insights into the working patterns and impact on data volume movements, particularly during late-night hours and weekends. © 2021 Copyright is held by the owner/author(s).

引用

页码：23 / 34

页数：11

共 14 条

[1]

Affinito A., Botta A., Ventre G., The impact of covid on network utilization: An analysis on domain popularity, 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pp. 1-6, (2020)

[2]

Branscombe M., 2020. The Network Impact of the Global COVID-19 Pandemic, (2020)

[3]

Case J., Fedor M., Schoffstall M., Davin J., A Simple Network Management Protocol (SNMP). Internet Engineering Task Force [IETF], (1990)

[4]

Claise B., Cisco Systems NetFlow Services Export Version 9. Internet Engineering Task Force [IETF], (2004)

[5]

Feldmann A., Gasser O., Lichtblau F., Pujol E., Poese I., Dietzel C., Wagner D., Wichtlhuber M., Tapiador J., Vallina-Rodriguez N., Hohlfeld O., Smaragdakis G., 2021. Implications of the COVID-19 Pandemic on the Internet Traffic, Broadband Coverage in Germany

[6]

15th ITG-Symposium, pp. 1-5

[7]

Guok C.P., Robertson D.W., Chaniotakis E., Thompson M.R., Johnston W., Tierney B., A User Driven Dynamic Circuit Network Implementation, 2008 IEEE GlobecomWorkshops, pp. 1-5, (2008)

[8]

Johnston W., Chaniotakis E., Dart E., Guok C., Metzger J., Brian D., The Evolution of Research and Education Networks and their Essential Role in Modern Science, Trends in High Performance and Large Scale Computing, Lucio Grandinetti and Gerhard Joubert Editors, to Appear. IOS Press Publisher

[9]

Kent S., IP Encapsulating Security Payload (ESP). Internet Engineering Task Force [IETF], (2005)

[10]

Lutu A., Perino D., Bagnulo M., Frias-Martinez E., Khangosstar J., A characterization of the covid-19 pandemic impact on a mobile network operator traffic, Proceedings of the ACM Internet Measurement Conference (IMC ?20). Association for Computing Machinery, New York, NY, USA, pp. 19-33, (2020)

← 1 2 →