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Masters

Traffic Engineering for LISP-Enabled Networks

Abstract

dc:description.abstract

Inter-Domain Traffic engineering in the Internet faces serious limitations because of the current IP routing and addressing architecture. This coupled with Border Gateway Protocol’s (BGP’s) way of selecting performance-blind paths forces ISPs to de-aggregate IP prefixes to control the flow of packets between ASes. Advertising such de-aggregated, surplus prefixes for local benefits is causing the routing table of the Default Free Zone (DFZ) to grow rapidly, which contribute to routing scalability problems. Recently, in order to address this scalability issue, LISP (Locator/Identifier Separation Protocol) has been proposed, which separates an address space into a non-routable End-Point Identifiers (EIDs) and a routable Routing Locators (RLOCs), where each EIDs can be associated to more than one (multiple) RLOCs. In this work, we discuss two optimization models for traffic engineering in LISP-enabled network which exploits the route diversity or the path diversity the LISP inherently provides by introducing the concept of grouping multiple RLOCs with traffic proportioning or load-balancing as the optimization criterion. We compare the models to the base case that identifies with the current routing architecture (i.e. no proportioning). Through our study, we observe that LISP-based traffic engineering with multiple RLOCs offers noticeable benefits compared to when we do traffic engineering without proportioning demands to multiple RLOCs, except when the network is uniform in terms of load and capacity.

Degree

thesis:*
Name thesis:degree_name
M.S.
Discipline thesis:degree_discipline
Computer Science (UMKC)
Grantor
Masters
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sridhar, Raghunandan
Advisor dc:contributor.advisor
  • Medhi, Deepankar

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10355/49783
OAI identifier oai:identifier
oai:mospace.umsystem.edu:10355/49783

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

Sridhar, Raghunandan. Traffic Engineering for LISP-Enabled Networks. Masters, 2013. https://hdl.handle.net/10355/49783