Averting Cascading Failures in Networked Infrastructures: Poset-Constrained Graph Algorithms

Cascading failures in critical networked infrastructures that result even from a single source of failure often lead to rapidly widespread outages as witnessed in the 2013 Northeast blackout in Northern America. The ensuing problem of containing future cascading failures by placement of protection o...

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Published in:IEEE journal of selected topics in signal processing Vol. 12; no. 4; pp. 733 - 748
Main Authors: Yu, Pei-Duo, Tan, Chee Wei, Fu, Hung-Lin
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Approximation
approximation algorithm
Approximation algorithms
Blackout
Cascading failure
Failure
Graph algorithms
graph theory and algorithms
Inference algorithms
large-scale stochastic optimization
Mathematical analysis
Message passing
message-passing algorithms
network centrality
Power grids
Power system faults
Power system protection
Signal processing algorithms
Statistical inference
Vaccines
viral spreading
ISSN:1932-4553, 1941-0484
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Abstract Cascading failures in critical networked infrastructures that result even from a single source of failure often lead to rapidly widespread outages as witnessed in the 2013 Northeast blackout in Northern America. The ensuing problem of containing future cascading failures by placement of protection or monitoring nodes in the network is complicated by the uncertainty of the failure source and the missing observation of how the cascading might unravel, be it the past cascading failures or the future ones. This paper examines the problem of minimizing the outage when a cascading failure from a single source occurs. A stochastic optimization problem is formulated where a limited number of protection nodes, when placed strategically in the network to mitigate systemic risk, can minimize the expected spread of cascading failure. We propose the vaccine centrality, which is a network centrality based on the partially ordered sets (poset) characteristics of the stochastic program and distributed message-passing, to design efficient approximation algorithms with provable approximation ratio guarantees. In particular, we illustrate how the vaccine centrality and the poset-constrained graph algorithms can be designed to tradeoff between complexity and optimality, as illustrated through a series of numerical experiments. This paper points toward a general framework of network centrality as statistical inference to design rigorous graph analytics for statistical problems in networks.
AbstractList Cascading failures in critical networked infrastructures that result even from a single source of failure often lead to rapidly widespread outages as witnessed in the 2013 Northeast blackout in Northern America. The ensuing problem of containing future cascading failures by placement of protection or monitoring nodes in the network is complicated by the uncertainty of the failure source and the missing observation of how the cascading might unravel, be it the past cascading failures or the future ones. This paper examines the problem of minimizing the outage when a cascading failure from a single source occurs. A stochastic optimization problem is formulated where a limited number of protection nodes, when placed strategically in the network to mitigate systemic risk, can minimize the expected spread of cascading failure. We propose the vaccine centrality, which is a network centrality based on the partially ordered sets (poset) characteristics of the stochastic program and distributed message-passing, to design efficient approximation algorithms with provable approximation ratio guarantees. In particular, we illustrate how the vaccine centrality and the poset-constrained graph algorithms can be designed to tradeoff between complexity and optimality, as illustrated through a series of numerical experiments. This paper points toward a general framework of network centrality as statistical inference to design rigorous graph analytics for statistical problems in networks.
Author Chee Wei Tan
Pei-Duo Yu
Hung-Lin Fu
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Cites_doi 10.1109/ICDSP.2015.7251979
10.1109/TSP.2013.2256902
10.1287/trsc.5.2.212
10.1080/0022250X.2001.9990249
10.1109/TNSE.2016.2600033
10.1287/moor.2016.0845
10.1038/sdata.2017.175
10.1090/coll/038
10.1109/IJCNN.2011.6033625
10.1038/nphys3865
10.1109/CISS.2018.8362273
10.1613/jair.1523
10.1016/j.cell.2005.08.029
10.1109/ISIT.2013.6620711
10.1103/PhysRevE.65.055103
10.1145/956750.956769
10.1145/2254756.2254784
10.1109/JSTSP.2015.2389191
10.1109/TIT.2017.2696960
10.1109/TIT.2015.2424875
10.1145/2591971.2591993
10.1038/nphys2727
10.1109/CISS.2016.7460492
10.1038/30918
10.1016/S0012-365X(01)00244-8
10.1109/JPROC.2018.2820126
10.1109/TIT.2011.2158885
10.1109/TNSE.2015.2393291
10.1109/JSTSP.2017.2730040
10.1109/INFCOM.2005.1498374
10.1109/SRDS.2017.14
10.1016/0378-8733(78)90021-7
10.1137/0210023
10.1214/ECP.v20-3743
10.1017/CBO9780511801655
10.1038/nature08932
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References ref35
ref13
ref34
ref12
ref37
ref15
omi (ref19) 2010; 3
ref36
ref14
ref31
bailey (ref22) 1975
ref30
ref33
ref11
ref32
ref10
ref2
ref1
ref39
ref17
ref38
ref16
ref18
ref23
ref25
ref20
ref21
zelinka (ref24) 1968; 4
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
mackay (ref26) 2003
ref6
ref5
ref40
References_xml – ident: ref14
  doi: 10.1109/ICDSP.2015.7251979
– ident: ref10
  doi: 10.1109/TSP.2013.2256902
– ident: ref29
  doi: 10.1287/trsc.5.2.212
– ident: ref28
  doi: 10.1080/0022250X.2001.9990249
– ident: ref6
  doi: 10.1109/TNSE.2016.2600033
– ident: ref23
  doi: 10.1287/moor.2016.0845
– ident: ref35
  doi: 10.1038/sdata.2017.175
– ident: ref25
  doi: 10.1090/coll/038
– ident: ref2
  doi: 10.1109/IJCNN.2011.6033625
– ident: ref37
  doi: 10.1038/nphys3865
– ident: ref1
  doi: 10.1109/CISS.2018.8362273
– year: 1975
  ident: ref22
  publication-title: The Mathematical Theory of Infectious Diseases and Its Applications
– year: 2003
  ident: ref26
  publication-title: Information Theory Inference and Learning Algorithms
– ident: ref32
  doi: 10.1613/jair.1523
– ident: ref36
  doi: 10.1016/j.cell.2005.08.029
– ident: ref9
  doi: 10.1109/ISIT.2013.6620711
– ident: ref33
  doi: 10.1103/PhysRevE.65.055103
– ident: ref31
  doi: 10.1145/956750.956769
– ident: ref4
  doi: 10.1145/2254756.2254784
– ident: ref12
  doi: 10.1109/JSTSP.2015.2389191
– ident: ref17
  doi: 10.1109/TIT.2017.2696960
– ident: ref16
  doi: 10.1109/TIT.2015.2424875
– ident: ref11
  doi: 10.1145/2591971.2591993
– ident: ref3
  doi: 10.1038/nphys2727
– ident: ref13
  doi: 10.1109/CISS.2016.7460492
– ident: ref34
  doi: 10.1038/30918
– ident: ref21
  doi: 10.1016/S0012-365X(01)00244-8
– ident: ref38
  doi: 10.1109/JPROC.2018.2820126
– ident: ref8
  doi: 10.1109/TIT.2011.2158885
– volume: 3
  start-page: 1
  year: 2010
  ident: ref19
  article-title: Network protection against worms and cascading failures using modularity partitioning
  publication-title: Proc 22nd Int Teletraffic Congr
– ident: ref20
  doi: 10.1109/TNSE.2015.2393291
– ident: ref39
  doi: 10.1109/JSTSP.2017.2730040
– ident: ref5
  doi: 10.1109/INFCOM.2005.1498374
– ident: ref18
  doi: 10.1109/SRDS.2017.14
– ident: ref27
  doi: 10.1016/0378-8733(78)90021-7
– ident: ref30
  doi: 10.1137/0210023
– ident: ref15
  doi: 10.1214/ECP.v20-3743
– ident: ref40
  doi: 10.1017/CBO9780511801655
– ident: ref7
  doi: 10.1038/nature08932
– volume: 4
  start-page: 87
  year: 1968
  ident: ref24
  article-title: Medians and peripherians of trees
  publication-title: Arch Math
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SubjectTerms Algorithms
Approximation
approximation algorithm
Approximation algorithms
Blackout
Cascading failure
Failure
Graph algorithms
graph theory and algorithms
Inference algorithms
large-scale stochastic optimization
Mathematical analysis
Message passing
message-passing algorithms
network centrality
Power grids
Power system faults
Power system protection
Signal processing algorithms
Statistical inference
Vaccines
viral spreading
Title Averting Cascading Failures in Networked Infrastructures: Poset-Constrained Graph Algorithms
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