University of Illinois at Urbana-Champaign
Optimal heavy-traffic queue length scaling in an incompletely saturated switch
Abstract
dc:descriptionWe 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 × 4Rights
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