NDLI: “Selfish” algorithm for reducing the computational cost of the network survivability analysis

Content Provider	Springer Nature Link
Author	Poroseva, Svetlana V.
Copyright Year	2012
Abstract	In Nature, the primary goal of any network is to survive. This is less obvious for engineering networks (electric power, gas, water, transportation systems, etc.) that are expected to operate under normal conditions most of the time. As a result, the ability of a network to withstand massive sudden damage caused by adverse events (or survivability) has not been among traditional goals in systems design. Reality, however, calls for the adjustment of design priorities. As modern networks develop toward increasing their size, complexity, and integration, the likelihood of adverse events also increases due to technological development, climate change, and activities in the political arena, among other factors. Under such circumstances, a network failure has an unprecedented effect on lives and economy. To mitigate the impact of adverse events on network operability, the survivability analysis must be conducted at an early stage in network design. Such analysis requires the development of new analytical and computational tools. A computational analysis of network survivability is an exponential time problem that makes the analysis computationally unfeasible for large-scale networks. The current paper describes a new algorithm in which reduction of the computational cost is achieved by mapping an initial network topology with multiple sources and sinks onto a set of simpler smaller topologies with multiple sources and a single sink. Steps for further reducing the time and space expenses of computations are also discussed.
Starting Page	381
Ending Page	400
Page Count	20
File Format	PDF
ISSN	13894420
Journal	Optimization and Engineering
Volume Number	15
Issue Number	2
e-ISSN	15732924
Language	English
Publisher	Springer US
Publisher Date	2012-12-12
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Networks Survivability Resilience Computational complexity Optimization Engineering Systems Theory, Control Environmental Management Agriculture Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Software Civil and Structural Engineering Control and Optimization Mechanical Engineering Aerospace Engineering Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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