GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic

Author:

Jones Michael1,Kepner Jeremy1,Andersen Daniel2,Buluc Aydin3,Byun Chansup1,Claffy K2,Davis Timothy4,Arcand William1,Bernays Jonathan1,Bestor David1,Bergeron William1,Gadepally Vijay1,Houle Micheal1,Hubbell Matthew1,Jananthan Hayden1,Klein Anna1,Meiners Chad1,Milechin Lauren1,Mullen Julie1,Pisharody Sandeep1,Prout Andrew1,Reuther Albert1,Rosa Antonio1,Samsi Siddharth1,Sreekanth Jon5,Stetson Doug1,Yee Charles1,Michaleas Peter1

Affiliation:

1. MIT

2. CAIDA

3. LBNL

4. Texas A&M

5. Accolade Technology

Funder

National Science Foundation

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spike and hike modeling for interest rate derivatives: with an application to SOFR caplets;Quantitative Finance;2024-07-16

2. Teaching Network Traffic Matrices in an Interactive Game Environment;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

3. Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

4. Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

5. Mapping of Internet “Coastlines” via Large Scale Anonymized Network Source Correlations;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

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