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OSPool Project

UCF_Yuksel

Principal Investigator

Murat Yuksel

Organization

University of Central Florida

Field of Science

Engineering

Description

This project explores methods and architectures that use machine learning to predict and install network flows before they arrive at a software-defined networking (SDN) domain. In Reactive SDN, a new flow causes interaction between the SDN controller and the SDN switch. The goal of the project is to reduce the delay caused by these controller-switch interactions to process new flows.

369,911

Jobs Ran

921,168

CPU Core Hours

940

GPU Hours

81

Contributing Institutions

632,563

OSDF Objects Transferred

866 TB

OSDF Bytes Transferred

Contributing Institutions

Jobs by Institution
  • University of Wisconsin–Madison — 51,957 (14.0%)
  • Indiana University — 40,666 (11.0%)
  • Louisiana State University Health Sciences Center New Orleans — 31,757 (8.6%)
  • University of Colorado Boulder — 31,465 (8.5%)
  • University of Utah — 29,327 (7.9%)
  • Montana State University — 21,035 (5.7%)
  • Nevada System of Higher Education — 16,750 (4.5%)
  • University of Chicago — 15,051 (4.1%)
  • Clemson University — 14,930 (4.0%)
  • California State University, Fullerton — 9,765 (2.6%)
  • American Museum of Natural History — 8,846 (2.4%)
  • University of Illinois Urbana-Champaign — 7,945 (2.1%)
  • University of Nebraska–Lincoln — 7,658 (2.1%)
  • Portland State University — 6,683 (1.8%)
  • University of California, Merced — 6,557 (1.8%)
  • Other — 69,519 (18.8%)
Map of Contributing Institutions