Using mobile agents and maximum path flow algorithms to maximize network utilization

The purpose of this thesis is to show how the use of one or more of the shortest augmenting path (polynomial time) algorithms are used to maximize the bandwidth usage and minimize the cost and latency in Multiprotocol Label Switched (MPLS) networks. The thesis will also show how providers that offer...

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Main Author: Pirbhai, Shafiq
Format: Others
Language:en
Published: University of Ottawa (Canada) 2013
Subjects:
Online Access:http://hdl.handle.net/10393/27165
http://dx.doi.org/10.20381/ruor-18572
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spelling ndltd-uottawa.ca-oai-ruor.uottawa.ca-10393-271652018-01-05T19:07:25Z Using mobile agents and maximum path flow algorithms to maximize network utilization Pirbhai, Shafiq Computer Science. The purpose of this thesis is to show how the use of one or more of the shortest augmenting path (polynomial time) algorithms are used to maximize the bandwidth usage and minimize the cost and latency in Multiprotocol Label Switched (MPLS) networks. The thesis will also show how providers that offer services such as Virtual Private Networks (VPNs) based on Border Gateway Protocol (BGP) and MPLS, or Virtual Private LAN Services (VPLS) can use such an algorithm to offer premium services to higher paying customers. This thesis extends the problem of adaptive routing in communications networks: It focuses on maximizing the bandwidth usage in a MPLS network by using a modified augmenting path algorithm. The algorithm is influenced by Resource Reservation Protocol (RSVP) to reserve traffic flows on routers. The algorithm proposed is inspired by previous research in the area of indirect communication among agents through modifications induced in their environment or simply known as stigmergy. The agents implement the Edmonds Karp Algorithm rather than the pheromone tables in stigmergy. By using a mobile agents approach, the Augmenting Path Algorithm is adapted to find the maximum flow through a network. 2013-11-07T18:13:12Z 2013-11-07T18:13:12Z 2005 2005 Thesis Source: Masters Abstracts International, Volume: 44-06, page: 2852. http://hdl.handle.net/10393/27165 http://dx.doi.org/10.20381/ruor-18572 en 171 p. University of Ottawa (Canada)
collection NDLTD
language en
format Others
sources NDLTD
topic Computer Science.
spellingShingle Computer Science.
Pirbhai, Shafiq
Using mobile agents and maximum path flow algorithms to maximize network utilization
description The purpose of this thesis is to show how the use of one or more of the shortest augmenting path (polynomial time) algorithms are used to maximize the bandwidth usage and minimize the cost and latency in Multiprotocol Label Switched (MPLS) networks. The thesis will also show how providers that offer services such as Virtual Private Networks (VPNs) based on Border Gateway Protocol (BGP) and MPLS, or Virtual Private LAN Services (VPLS) can use such an algorithm to offer premium services to higher paying customers. This thesis extends the problem of adaptive routing in communications networks: It focuses on maximizing the bandwidth usage in a MPLS network by using a modified augmenting path algorithm. The algorithm is influenced by Resource Reservation Protocol (RSVP) to reserve traffic flows on routers. The algorithm proposed is inspired by previous research in the area of indirect communication among agents through modifications induced in their environment or simply known as stigmergy. The agents implement the Edmonds Karp Algorithm rather than the pheromone tables in stigmergy. By using a mobile agents approach, the Augmenting Path Algorithm is adapted to find the maximum flow through a network.
author Pirbhai, Shafiq
author_facet Pirbhai, Shafiq
author_sort Pirbhai, Shafiq
title Using mobile agents and maximum path flow algorithms to maximize network utilization
title_short Using mobile agents and maximum path flow algorithms to maximize network utilization
title_full Using mobile agents and maximum path flow algorithms to maximize network utilization
title_fullStr Using mobile agents and maximum path flow algorithms to maximize network utilization
title_full_unstemmed Using mobile agents and maximum path flow algorithms to maximize network utilization
title_sort using mobile agents and maximum path flow algorithms to maximize network utilization
publisher University of Ottawa (Canada)
publishDate 2013
url http://hdl.handle.net/10393/27165
http://dx.doi.org/10.20381/ruor-18572
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