Robust distributed routing in dynamical flow networks

Robustness of distributed routing policies is studied for dynamical flow networks, with respect to adversarial disturbances that reduce the link flow capacities. A dynamical flow network is modeled as a system of ordinary differential equations derived from mass conservation laws on a directed acyclic graph with a single origin-destination pair and a constant inflow at the origin. Routing policies regulate the way the inflow at a non-destination node gets split among its outgoing links as a function of the current particle density, while the outflow of a link is modeled to depend on the current particle density on that link through a flow function. The robustness of distributed routing policies is evaluated in terms of the network's weak resilience, which is defined as the infimum sum of link-wise magnitude of disturbances under which the total inflow at the destination node of the perturbed dynamical flow network is positive. The weak resilience of a dynamical flow network with arbitrary routing policy is shown to be upper-bounded by the network's min-cut capacity, independently of the initial flow conditions. Moreover, a class of distributed routing policies that rely exclusively on local information on the particle densities, and are locally responsive to that, is shown to yield such maximal weak resilience. These results imply that locality constraints on the information available to the routing policies do not cause loss of weak resilience.

[1]  Munther A. Dahleh,et al.  Robust Distributed Routing in Dynamical Networks–Part II: Strong Resilience, Equilibrium Selection and Cascaded Failures , 2013, IEEE Transactions on Automatic Control.

[2]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[3]  M. Hirsch Systems of differential equations that are competitive or cooperative. VI: A local Cr Closing Lemma for 3-dimensional systems , 1985, Ergodic Theory and Dynamical Systems.

[4]  Cun-Hui Zhang,et al.  Measures of Network Vulnerability , 2007, IEEE Signal Processing Letters.

[5]  G. Rubino,et al.  Evaluating network vulnerability with the mincuts frequency vector , 1997 .

[6]  Drew Fudenberg,et al.  Learning-Theoretic Foundations for Equilibrium Analysis , 2008 .

[7]  Glenn Vinnicombe,et al.  Robust congestion control for the Internet , 2002 .

[8]  Munther A. Dahleh,et al.  Robust Distributed Routing in Dynamical Networks—Part I: Locally Responsive Policies and Weak Resilience , 2013, IEEE Transactions on Automatic Control.

[9]  T. Koopmans,et al.  Studies in the Economics of Transportation. , 1956 .

[10]  R. Rosenthal A class of games possessing pure-strategy Nash equilibria , 1973 .

[11]  Munther A. Dahleh,et al.  On Robustness Analysis of Large-scale Transportation Networks , 2010 .

[12]  Vivek S. Borkar,et al.  Dynamic Cesaro-Wardrop equilibration in networks , 2003, IEEE Trans. Autom. Control..

[13]  Dimitri P. Bertsekas,et al.  Data Networks , 1986 .

[14]  Ravindra K. Ahuja,et al.  Network Flows: Theory, Algorithms, and Applications , 1993 .

[15]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[16]  Munther A. Dahleh,et al.  Robust Distributed Routing in Dynamical Networks - Part I: Locally Responsive Policies and Weak Resilience , 2013, IEEE Trans. Autom. Control..

[17]  Anthony S. Acampora,et al.  Multihop lightwave networks: a comparison of store-and-forward and hot-potato routing , 1992, IEEE Trans. Commun..

[18]  Leandros Tassiulas,et al.  Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks , 1992 .

[19]  Dirk Helbing,et al.  Transient dynamics increasing network vulnerability to cascading failures. , 2007, Physical review letters.

[20]  M. Hirsch Systems of Differential Equations that are Competitive or Cooperative II: Convergence Almost Everywhere , 1985 .

[21]  Fernando Paganini,et al.  A global stability result in network flow control , 2002, Syst. Control. Lett..

[22]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[23]  Chris Cosner,et al.  Book Review: Monotone dynamical systems: An introduction to the theory of competitive and cooperative systems , 1996 .

[24]  M. Hirsch Systems of di erential equations which are competitive or cooperative I: limit sets , 1982 .

[25]  Munther A. Dahleh,et al.  Stability analysis of transportation networks with multiscale driver decisions , 2011, Proceedings of the 2011 American Control Conference.

[26]  Masakazu Sengoku,et al.  On a function for the vulnerability of a directed flow network , 1988, Networks.

[27]  Tim Roughgarden,et al.  Selfish routing and the price of anarchy , 2005 .

[28]  Fernando Paganini,et al.  Internet congestion control , 2002 .

[29]  John T. Wen,et al.  Robustness of network flow control against disturbances and time-delay , 2004, Syst. Control. Lett..

[30]  Mauro Garavello,et al.  Traffic Flow on Networks , 2006 .