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University of Illinois at Urbana-Champaign

Optimal heavy-traffic queue length scaling in an incompletely saturated switch

Abstract

dc:description

We consider an input queued switch operating under the MaxWeight scheduling algorithm. This system is interesting to study because it is a model for Internet routers and data center networks. Recently, it was shown that the MaxWeight algorithm has optimal heavy-traffic queue length scaling when all ports are uniformly saturated. Here we consider the case when an arbitrary number of ports are saturated (which we call the incompletely saturated case), and each port is allowed to saturate at a different rate. We use a recently developed drift technique to show that the heavy-traffic queue length under the MaxWeight scheduling algorithm has optimal scaling with respect to the switch size even in these cases.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Electrical & Computer Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Burle, Sai Kiran
Contributors dc:contributor
  • Srikant, R.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • Copyright 2017 Sai Kiran Burle
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/97777
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/97777

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Burle, Sai Kiran. Optimal heavy-traffic queue length scaling in an incompletely saturated switch. Thesis thesis, University of Illinois at Urbana-Champaign, 2017. http://hdl.handle.net/2142/97777