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SUMMARY:An Objective Measure of Network Resilience - Fletcher D Wicker (Ae
 rospace)
DTSTART:20130515T120000Z
DTEND:20130515T130000Z
UID:TALK44509@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:In this presentation we apply techniques from network science\
 , game theory\, evolutionary algorithms\,\nand probability\, to develope a
 n objective measure of network risk. We used this objective measure of\nne
 twork risk as a way to quantify relative resilience between alternative ne
 twork architectures. In this\nstudy we call a network resilient when it co
 ntinues to operate after suffering externally inflicted damage\nfrom a phy
 sical attack. Repair and restoration of the network is assumed to occur af
 ter the attack. This\nmanifestation of resilience is representative of the
  way in which public utility networks respond to\nnatural disasters and te
 rrorist attacks. One way network managers make their networks more resilie
 nt is\nby provisioning the network with additional redundant pathways befo
 re any attack. However\, as will be\nshown\, naively considered redundancy
  can actually make the network less resilient. This article\, using\nthe d
 escribed view of network resilience\, develops the following concepts: met
 hods to assign structural\nvalue to network objects where the value reflec
 ts its importance to the network routing scheme in use\,\ndevelopment of t
 he mathematical foundations of a network risk measure\, use of the network
  risk\nmeasure to compare relative resilience between two network architec
 tures\, and the development of a\nprocedure to efficiently evolve existing
  networks into more resilient networks. Network examples are\ngiven that d
 emonstrate the practical impact of these results. This paper does not addr
 ess resilience\nachieved through self-healing or self-organizing mechanism
 s that are typical of biological systems\, but it does provide some founda
 tional work towards these ends. \n\n\nBio: Fletcher Wicker received his B.
 S.\, M.A.\, and Ph.D. degrees in mathematics\nall from the Pennsylvania St
 ate University in 1968\, 1969\, and 1975\nrespectively. From 1974 to 1977 
 he worked as an operations research analyst\nfor the Naval Personnel Resea
 rch and Development Center in San Diego\,\nCA. In 1977 he joined the Aeros
 pace Corporation in El Segundo\, CA. His\ncareer at Aerospace has included
  development of Kalman filter program for\nthe initial GPS satellites\, ma
 thematical and statistical analysis and program\ndevelopment\, and communi
 cation systems development. His current\nresearch interests include wirele
 ss network performance evaluation and\ncontrol. During the academic year o
 f 2007-2008 he was a visiting scholar at\nboth the Statistical Laboratory 
 and the Computer Laboratory at the\nUniversity of Cambridge\, UK. His rese
 arch interests include network\ninformation theory\, probability\, stochas
 tic processes\, communication\nsystems\, networking\, stochastic networks 
 analysis\, analytic network\nperformance evaluation\, traffic modeling and
  analysis\, mobile ad-hoc\nwireless networks\, MIMO and cooperative commun
 ications\, and public\nsafety communications.
LOCATION:LT2\, Computer Laboratory\, William Gates Builiding
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