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University of Missouri--Kansas City

Temporal Bandwidth-Intensive Virtual Network Allocation Optimization in Data Centers

Abstract

dc:description.abstract

In this paper, we consider bandwidth-intensive services for customers that want virtual networks (VN) in a data center environment. In particular, we consider this problem in a temporal context where bandwidth-intensive requests from each VN may arrive randomly at a review point, which may last for a certain duration. Thus, at each review point, the data center network provider must optimally allocate resources for the demand requests. For this problem, we present a mixed-integer programming (MIP) problem formulation where any request from a VN customer may be assigned to any virtual machine so that network resource availability is optimized. We present an overbooking strategy that may be employed to allow for some demands not met in the first try. For comparison, we also consider a base case where the allocation is pinned to a specific destination. Through our study, we show the comparative gains of different schemes

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Computer Science (UMKC)
Grantor
University of Missouri--Kansas City
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Owens, Matthew
Advisor dc:contributor.advisor
  • Medhi, Deepankar

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10355/43908
OAI identifier oai:identifier
oai:mospace.umsystem.edu:10355/43908

Chain of custody

source
Harvested from
University of Missouri - Kansas City
Base URL
mospace.umsystem.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Owens, Matthew. Temporal Bandwidth-Intensive Virtual Network Allocation Optimization in Data Centers. Masters thesis, University of Missouri--Kansas City, 2014. https://hdl.handle.net/10355/43908