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Congestion-induced collapse in netwo...

Alderson, David Louis.

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Congestion-induced collapse in networks: Managing failure cascades in complex systems and infrastructure protection.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Congestion-induced collapse in networks: Managing failure cascades in complex systems and infrastructure protection./
作者:	Alderson, David Louis.
面頁冊數:	156 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2369.
Contained By:	Dissertation Abstracts International64-05B.
標題:	Operations Research. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3090549

Congestion-induced collapse in networks: Managing failure cascades in complex systems and infrastructure protection.
Alderson, David Louis.

Congestion-induced collapse in networks: Managing failure cascades in complex systems and infrastructure protection. - 156 p.

Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2369.

Thesis (Ph.D.)--Stanford University, 2003.

The national infrastructure systems of the United States form a complex mesh of interdependent networks. While technology advances in these infrastructures (e.g. telecommunications, transportation, electric power, etc.) have brought great efficiencies to modern life, our economic and social welfare have become inextricably dependent on them. Over the last decade, there has been growing concern over the vulnerability of national infrastructure systems to accidents, failures, and attacks. While there is significant evidence to support the belief that catastrophic cascading failures can and will happen in the future, there is so far little theory to understand how and why these failure cascades occur and propagate. There is even less known about what to do about them.Subjects--Topical Terms:

626629
Operations Research.

Congestion-induced collapse in networks: Managing failure cascades in complex systems and infrastructure protection.
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245 1 0 $a Congestion-induced collapse in networks: Managing failure cascades in complex systems and infrastructure protection.
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500 $a Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2369.
500 $a Advisers: Nicholas Bambos; William J. Perry.
502 $a Thesis (Ph.D.)--Stanford University, 2003.
520 $a The national infrastructure systems of the United States form a complex mesh of interdependent networks. While technology advances in these infrastructures (e.g. telecommunications, transportation, electric power, etc.) have brought great efficiencies to modern life, our economic and social welfare have become inextricably dependent on them. Over the last decade, there has been growing concern over the vulnerability of national infrastructure systems to accidents, failures, and attacks. While there is significant evidence to support the belief that catastrophic cascading failures can and will happen in the future, there is so far little theory to understand how and why these failure cascades occur and propagate. There is even less known about what to do about them.
520 $a This dissertation lends perspective and insight into this problem through the study of congestion-induced network failures. Using approaches from the study of dynamical systems and network flow problems, this research develops an analytical framework suitable for the study of this difficult, yet important problem. A series of deterministic and stochastic models is analyzed to obtain a quantitative and qualitative understanding of potential failures modes within stand-alone systems. Optimal management policies using admission control are developed to maximize system performance while preventing congestion collapse. The characteristics and parameter sensitivities of these policies are presented for a general class of congestion-sensitive systems.
520 $a A primary objective in this study is to identify the tradeoffs in the operation and design of complex networks as well as to initiate the development of robust management strategies for critical infrastructure systems. Accordingly, the framework for standalone models is extended to address the behavior of simple network topologies, and it is shown how these systems, if uncontrolled, are susceptible to cascading failure events. Particular attention is placed on the application of this framework to current challenges in the management of large-scale infrastructure systems, including systems in transportation (interstate highway traffic and railroads) and computer networks (e.g. interacting Ethernet domains, distributed computing "farms"). The thesis concludes with an agenda for addressing the some of the long-term challenges of designing and managing large-scale infrastructure networks.
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