Sangam: A Confluence of Knowledge Streams

Robust distributed routing in dynamical networks with cascading failures

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dc.contributor Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.contributor Massachusetts Institute of Technology. Department of Economics
dc.contributor Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
dc.contributor Savla, Ketan D.
dc.contributor Acemoglu, Daron
dc.contributor Dahleh, Munther A.
dc.contributor Frazzoli, Emilio
dc.creator Como, Giacomo
dc.creator Acemoglu, Daron
dc.creator Dahleh, Munther A.
dc.creator Frazzoli, Emilio
dc.creator Savla, Ketan D.
dc.date 2013-10-30T12:57:57Z
dc.date 2013-10-30T12:57:57Z
dc.date 2012-12
dc.date.accessioned 2023-03-01T18:06:55Z
dc.date.available 2023-03-01T18:06:55Z
dc.identifier 978-1-4673-2066-5
dc.identifier 978-1-4673-2065-8
dc.identifier 978-1-4673-2063-4
dc.identifier 978-1-4673-2064-1
dc.identifier http://hdl.handle.net/1721.1/81862
dc.identifier Como, Giacomo, Ketan Savla, Daron Acemoglu, Munther A. Dahleh, and Emilio Frazzoli. “Robust distributed routing in dynamical networks with cascading failures.” In 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 7413-7418. Institute of Electrical and Electronics Engineers, 2012.
dc.identifier https://orcid.org/0000-0002-0505-1400
dc.identifier https://orcid.org/0000-0002-1470-2148
dc.identifier https://orcid.org/0000-0003-0908-7491
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/278802
dc.description We consider a dynamical formulation of network flows, whereby the network is modeled as a switched system of ordinary differential equations derived from mass conservation laws on directed graphs with a single origin-destination pair and a constant inflow at the origin. The rate of change of the density on each link of the network equals the difference between the inflow and the outflow on that link. The inflow to a link is determined by the total flow arriving to the tail node of that link and the routing policy at that tail node. The outflow from a link is modeled to depend on the current density on that link through a flow function. Every link is assumed to have finite capacity for density and the flow function is modeled to be strictly increasing up to the maximum density. A link becomes inactive when the density on it reaches the capacity. A node fails if all its outgoing links become inactive, and such node failures can propagate through the network due to rerouting of flow. We prove some properties of these dynamical networks and study the resilience of such networks under distributed routing policies with respect to perturbations that reduce link-wise flow functions. In particular, we propose an algorithm to compute upper bounds on the maximum resilience over all distributed routing policies, and discuss examples that highlight the role of cascading failures on the resilience of the network.
dc.description National Science Foundation (U.S.). Office of Emerging Frontiers in Research and Innovation (ARES Grant 0735956)
dc.description United States. Air Force Office of Scientific Research (Grant FA9550-09-1-0538)
dc.format application/pdf
dc.language en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation http://dx.doi.org/10.1109/CDC.2012.6426170
dc.relation Proceedings of the 2012 51st IEEE Conference on Decision and Control (CDC)
dc.rights Creative Commons Attribution-Noncommercial-Share Alike 3.0
dc.rights http://creativecommons.org/licenses/by-nc-sa/3.0/
dc.source MIT web domain
dc.title Robust distributed routing in dynamical networks with cascading failures
dc.type Article
dc.type http://purl.org/eprint/type/ConferencePaper


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