Self-Healing Networks: Redundancy and Structure

We introduce the concept of self-healing in the field of complex networks modelling; in particular, self-healing capabilities are implemented through distributed communication protocols that exploit redundant links to recover the connectivity of the system. We then analyze the effect of the level of redundancy on the resilience to multiple failures; in particular, we measure the fraction of nodes still served for increasing levels of network damages. Finally, we study the effects of redundancy under different connectivity patterns—from planar grids, to small-world, up to scale-free networks—on healing performances. Small-world topologies show that introducing some long-range connections in planar grids greatly enhances the resilience to multiple failures with performances comparable to the case of the most resilient (and least realistic) scale-free structures. Obvious applications of self-healing are in the important field of infrastructural networks like gas, power, water, oil distribution systems.

[1]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[2]  Alessandro Vespignani,et al.  Complex dynamic networks: Tools and methods , 2012, Comput. Networks.

[3]  Marc Barthelemy,et al.  Spatial Networks , 2010, Encyclopedia of Social Network Analysis and Mining.

[4]  Amitabh Trehan,et al.  Edge-preserving self-healing: Keeping network backbones densely connected , 2012, 2012 Proceedings IEEE INFOCOM Workshops.

[5]  Nicola Santoro Design and Analysis of Distributed Algorithms (Wiley Series on Parallel and Distributed Computing) , 2006 .

[6]  Nicola Santoro,et al.  Time-varying graphs and dynamic networks , 2010, Int. J. Parallel Emergent Distributed Syst..

[7]  Thomas A. Johnson,et al.  Homeland Security Presidential Directive/HSPD-12 , 2007 .

[8]  N. Sottos,et al.  Autonomic healing of polymer composites , 2001, Nature.

[9]  David Bruce Wilson,et al.  Generating random spanning trees more quickly than the cover time , 1996, STOC '96.

[10]  Albert-László Barabási,et al.  Controllability of complex networks , 2011, Nature.

[11]  Francis Corson,et al.  Fluctuations and redundancy in optimal transport networks. , 2009, Physical review letters.

[12]  Ken-ichi Sato,et al.  Self-healing ATM networks based on virtual path concept , 1994, IEEE J. Sel. Areas Commun..

[13]  Sarvapali D. Ramchurn,et al.  Putting the 'smarts' into the smart grid , 2012, Commun. ACM.

[14]  K. N. Srinivas,et al.  Restoration of power network – a bibliographic survey , 2011 .

[15]  Gábor Csárdi,et al.  The igraph software package for complex network research , 2006 .

[16]  Nicola Santoro,et al.  Mobility-Based Strategies for Energy Restoration in Wireless Sensor Networks , 2010, 2010 Sixth International Conference on Mobile Ad-hoc and Sensor Networks.

[17]  Lucas Antiqueira,et al.  Analyzing and modeling real-world phenomena with complex networks: a survey of applications , 2007, 0711.3199.

[18]  Alessandro Vespignani,et al.  Activity driven modeling of dynamic networks , 2012, ArXiv.

[19]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[20]  Anna Scaglione,et al.  Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks , 2010, IEEE Transactions on Smart Grid.

[21]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[22]  Husheng Li,et al.  QoS Routing in Smart Grid , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[23]  Nicola Santoro,et al.  Distributed Minimum Spanning Tree Maintenance for Transient Node Failures , 2012, IEEE Transactions on Computers.

[24]  Gopal Pandurangan,et al.  Xheal: localized self-healing using expanders , 2011, PODC '11.

[25]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[26]  J. Lewis,et al.  Self-healing materials with microvascular networks. , 2007, Nature materials.

[27]  Guido Caldarelli,et al.  Scale-Free Networks , 2007 .

[28]  H E Stanley,et al.  Classes of small-world networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Guido Caldarelli,et al.  Robustness and Assortativity for Diffusion-like Processes in Scale- free Networks , 2012 .

[30]  C. Krassnig ON THE REVIEW OF THE EUROPEAN PROGRAMME FOR CRITICAL INFRASTRUCTURE PROTECTION (EPCIP) , 2011 .

[31]  Hans J. Herrmann,et al.  Mitigation of malicious attacks on networks , 2011, Proceedings of the National Academy of Sciences.

[32]  Nicola Santoro,et al.  Design and analysis of distributed algorithms , 2006, Wiley series on parallel and distributed computing.

[33]  B. Leupen,et al.  Design and analysis , 1997 .

[34]  Jian-Fang Zhou,et al.  Spontaneous scale-free structure in adaptive networks with synchronously dynamical linking. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  Béla Bollobás,et al.  Robustness and Vulnerability of Scale-Free Random Graphs , 2004, Internet Math..

[36]  Sergey N. Dorogovtsev,et al.  Critical phenomena in complex networks , 2007, ArXiv.

[37]  Albert-László Barabási,et al.  Error and attack tolerance of complex networks , 2000, Nature.

[38]  Paul Jeffrey,et al.  Complex network analysis of water distribution systems , 2011, Chaos.

[39]  Nicola Santoro,et al.  Computing all the best swap edges distributively , 2008, J. Parallel Distributed Comput..

[40]  M. Newman,et al.  Scaling and percolation in the small-world network model. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[41]  Jurgen Kurths,et al.  Synchronization in complex networks , 2008, 0805.2976.

[42]  Alessandro Vespignani,et al.  Dynamical Processes on Complex Networks , 2008 .

[43]  Toshio Aoyagi,et al.  Scale-free structures emerging from co-evolution of a network and the distribution of a diffusive resource on it. , 2011, Physical review letters.

[44]  Kazutaka Murakami,et al.  Optimal capacity and flow assignment for self-healing ATM networks based on line and end-to-end restoration , 1998, TNET.

[45]  Eleni Katifori,et al.  Damage and fluctuations induce loops in optimal transport networks. , 2009, Physical review letters.

[46]  Harry Eugene Stanley,et al.  Catastrophic cascade of failures in interdependent networks , 2009, Nature.