activity
20142026
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 719 across the 57 of their papers we have counts for

collaborators
Showing cs.NIShow all

12 papers · 1 filter

cs.NI2026

Analyzing 10 Petabit/s Network Data with Accelerated Associative (Token) Arrays

Jeremy Kepner, Hayden Jananthan, LaToya Anderson +19

As networks expand and become an ever more critical infrastructure to modern society the need to analyze these networks with the highest regard for privacy is essential to ensure t…

cs.NI2025

DBOS Network Sensing: A Web Services Approach to Collaborative Awareness

Sophia Lockton, Jeremy Kepner, Michael Stonebraker +26

DBOS (DataBase Operating System) is a novel capability that integrates web services, operating system functions, and database features to significantly reduce web-deployment effort…

cs.NI2024★ 2 cited

What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic

Jeremy Kepner, Hayden Jananthan, Michael Jones +26

Understanding what is normal is a key aspect of protecting a domain. Other domains invest heavily in observational science to develop models of normal behavior to better detect ano…

cs.NI2024★ 8 cited

Anonymized Network Sensing Graph Challenge

Hayden Jananthan, Michael Jones, William Arcand +26

The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing new solutions for analyzing graphs and sparse data derived from social media, sensor feeds, and sci…

cs.NI2023★ 3 cited

Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices

Jeremy Kepner, Michael Jones, Phil Dykstra +23

Defending community-owned cyber space requires community-based efforts. Large-scale network observations that uphold the highest regard for privacy are key to protecting our shared…

cs.NI2023★ 6 cited

Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays

Michael Jones, Jeremy Kepner, Andrew Prout +20

Matrix/array analysis of networks can provide significant insight into their behavior and aid in their operation and protection. Prior work has demonstrated the analytic, performan…

cs.NI2022

Hypersparse Network Flow Analysis of Packets with GraphBLAS

Tyler Trigg, Chad Meiners, Sandeep Pisharody +23

Internet analysis is a major challenge due to the volume and rate of network traffic. In lieu of analyzing traffic as raw packets, network analysts often rely on compressed network…

cs.NI2022★ 4 cited

Temporal Correlation of Internet Observatories and Outposts

Jeremy Kepner, Michael Jones, Daniel Andersen +26

The Internet has become a critical component of modern civilization requiring scientific exploration akin to endeavors to understand the land, sea, air, and space environments. Und…

cs.NI2022★ 11 cited

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

Michael Jones, Jeremy Kepner, Daniel Andersen +25

Long range detection is a cornerstone of defense in many operating domains (land, sea, undersea, air, space, ..,). In the cyber domain, long range detection requires the analysis o…

cs.NI2022★ 18 cited

New Phenomena in Large-Scale Internet Traffic

Jeremy Kepner, Kenjiro Cho, KC Claffy +16

The Internet is transforming our society, necessitating a quantitative understanding of Internet traffic. Our team collects and curates the largest publicly available Internet traf…

cs.NI2021★ 14 cited

Spatial Temporal Analysis of 40,000,000,000,000 Internet Darkspace Packets

Jeremy Kepner, Michael Jones, Daniel Andersen +24

The Internet has never been more important to our society, and understanding the behavior of the Internet is essential. The Center for Applied Internet Data Analysis (CAIDA) Telesc…

cs.NI2020★ 12 cited

Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets

Jeremy Kepner, Chad Meiners, Chansup Byun +23

Our society has never been more dependent on computer networks. Effective utilization of networks requires a detailed understanding of the normal background behaviors of network tr…