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Grant: Discovery Grants Program - Individual

Mount Saint Vincent University

$14,000.00

On Network Reliability

FY 2019-20

Summary
In today's technologically advanced world, the study of network reliability is very important. Many different reliability models have been developed to represent a variety of desired network properties. These models fall into one of two categories: coherent or non--coherent reliability systems.******In this proposed research I will investigate specific reliability models from both categories, with the purpose of understanding the properties of general coherent and non-coherent reliability systems. The goals of the proposed research are as follows:******1) To deepen our understanding of the behaviour of the reliability polynomial on [0,1].***2) To analyse the underlying combinatorial structure of reliability systems.***3) To apply the theoretical study of reliability systems to the real world design of networks.******To achieve these goals, I will study specific reliability models by using and expanding on techniques from my previous successful network reliability investigations. I will answer questions regarding the analytic properties and behaviour of the reliability polynomial on [0,1], as well as propose optimal network designs. The anticipated research will advance the knowledge of reliability systems and have direct applications to the design of networks. The introduction of a new non-coherent reliability system, the strongly connected node failure reliability model, will provide new problems to investigate and have applications to directed networks with potential node failures. **
Program
Discovery Grants Program - Individual
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2017-04401
Name nom
Cox, Danielle
Department département
Mathematics and Computer Science
Organization id
80
Institution établissement
Mount Saint Vincent University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2017
Award amount
14000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
2914
Research subject group en
Pure mathematics
Research subject group fr
Mathématiques pures
Research subject en
Combinatorics
Research subject fr
Combinatoire
Installment
inst:3 - 5
Partie
3
Nb partie
5
Application title
On Network Reliability
Keyword
NSERC
Application summary
In today's technologically advanced world, the study of network reliability is very important. Many different reliability models have been developed to represent a variety of desired network properties. These models fall into one of two categories: coherent or non--coherent reliability systems.******In this proposed research I will investigate specific reliability models from both categories, with the purpose of understanding the properties of general coherent and non-coherent reliability systems. The goals of the proposed research are as follows:******1) To deepen our understanding of the behaviour of the reliability polynomial on [0,1].***2) To analyse the underlying combinatorial structure of reliability systems.***3) To apply the theoretical study of reliability systems to the real world design of networks.******To achieve these goals, I will study specific reliability models by using and expanding on techniques from my previous successful network reliability investigations. I will answer questions regarding the analytic properties and behaviour of the reliability polynomial on [0,1], as well as propose optimal network designs. The anticipated research will advance the knowledge of reliability systems and have direct applications to the design of networks. The introduction of a new non-coherent reliability system, the strongly connected node failure reliability model, will provide new problems to investigate and have applications to directed networks with potential node failures. **