dc.contributor.advisor | Beard, Cory | |
dc.contributor.author | Gardner, Michael Todd | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016 Spring | |
dc.description | Title from PDF of title page, viewed on June 20, 2016 | |
dc.description | Dissertation advisor: Cory Beard | |
dc.description | Vita | |
dc.description | Includes bibliographical references (pages 232-257) | |
dc.description | Thesis(Ph.D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2016 | |
dc.description.abstract | In Air Traffic Control (ATC), communications outages may lead to immediate loss
of communications or radar contact with aircraft. In the short term, there may be safety
related issues as important services including power systems, ATC, or communications
for first responders during a disaster may be out of service. Significant financial damage
from airline delays and cancellations may occur in the long term. This highlights the
different types of impact that may occur after a disaster or other geographic event. The
question is How do we evaluate and improve the ability of a mission-critical network to
perform its mission during geographically correlated failures?
To answer this question, we consider several large and small networks, including
a multi-layer ATC Service Oriented Architecture (SOA) network known as SWIM. This
research presents a number of tools to analyze and mitigate both long and short term geographic vulnerabilities in mission critical networks. To provide context for the tools, a
disaster planning approach is presented that focuses on Resiliency Evaluation, Provisioning Demands, Topology Design, and Mitigation of Vulnerabilities.
In the Resilience Evaluation, we propose a novel metric known as the Network
Impact Resilience (NIR) metric and a reduced state based algorithm to compute the NIR
known as the Self-Pruning Network State Generation (SP-NSG) algorithm. These tools
not only evaluate the resiliency of a network with a variety of possible network tests, but
they also identify geographic vulnerabilities.
Related to the Demand Provisioning and Mitigation of Vulnerabilities, we present
methods that focus on provisioning in preparation for rerouting of demands immediately following an event based on Service Level Agreements (SLA) and fast rerouting
of demands around geographic vulnerabilities using Multi-Topology Routing (MTR). The
Topology Design area focuses on adding nodes to improve topologies to be more resistant
to geographic vulnerabilities.
Additionally, a set of network performance tools are proposed for use with mission
critical networks that can model at least up to 2nd order network delay statistics. The first
is an extension of the Queueing Network Analyzer (QNA) to model multi-layer networks
(and specifically SOA networks). The second is a network decomposition tool based
on Linear Algebraic Queueing Theory (LAQT). This is one of the first extensive uses
of LAQT for network modeling. Benefits, results, and limitations of both methods are
described. | eng |
dc.description.tableofcontents | Introduction -- SWIM Network - Air traffic Control example -- Performance analysis of mission critical multi-layer networks -- Evaluation of geographically correlated failures in multi-layer networks -- Provisioning and restoral of mission critical services for disaster resilience -- Topology improvements to avoid high impact geographic events -- Routing of mission critical services during disasters -- Conclusions and future research -- Appendix A. Pub/Sub simulation model description -- Appendix B. ME Random Number Generation | |
dc.format.extent | xvii, 258 pages | |
dc.identifier.uri | https://hdl.handle.net/10355/49406 | |
dc.subject.lcsh | Computer networks. | |
dc.subject.lcsh | Air traffic control -- Communication systems | |
dc.subject.lcsh | Emergency management -- Computer network resources | |
dc.subject.other | Dissertation -- University of Missouri--Kansas City -- Computer science | |
dc.subject.other | Dissertation -- University of Missouri--Kansas City -- Engineering | |
dc.title | Finding and Mitigating Geographic Vulnerabilities in Mission Critical Multi-Layer Networks | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Telecommunications and Computer Networking (UMKC) | |
thesis.degree.discipline | Electrical and Computer Engineering (UMKC) | |
thesis.degree.grantor | University of Missouri--Kansas City | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Ph.D. | |