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Massachusetts Institute of Technology

Coflow scheduling in data center networks

Abstract

dc:description.abstract

In this work, I analyze the problem of coflow scheduling on a multi-stage cross bar switch with a set of intermediate ports. Using a multi-stage abstraction for the data center network enables development of algorithms that reduce the network latency for certain traffic patterns. In this context, I compare the capabilities of the multi-stage network with the cross-bar switch via simulations and theoretical calculations. A theoretical upper bound of 1/e was shown for the ratio of the difference between the minimum total coflow completion times (TCCT) on these two networks and the minimum TCCT on the cross-bar switch. On the other hand, simulations using approximation algorithms gave values of up to 8 percent for the average of the same ratio under randomly generated trac patterns.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tas, Ertem Nusret.
Advisor dc:contributor.advisor
  • Eytan H Modiano.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/124265
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/124265

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Tas, Ertem Nusret.. Coflow scheduling in data center networks. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/124265