Community‐based traffic preservation in telecommunication networks

This work is partly supported by the Spanish Ministerio de Ciencia e Innovacion through project RoGER (Robustness against large-scale failures in interdomain routing, TEC2012-32336), Juan de la Cierva subprogram grant no. JCI-2010-08322, and by the Generalitat de Catalunya through the Research Support Program project SGR-1202 and AGAUR FI-DGR 2012 grant

[1]  M. Newman,et al.  Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[3]  Chiara Orsini,et al.  k-dense communities in the internet AS-level topology , 2011, 2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011).

[4]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Eusebi Calle,et al.  Vulnerability of core networks under different epidemic attacks , 2012, 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems.

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

[7]  Bo Li,et al.  Network traffic prediction based on a new time series model , 2005, Int. J. Commun. Syst..

[8]  Ibrahim Matta,et al.  BRITE: an approach to universal topology generation , 2001, MASCOTS 2001, Proceedings Ninth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[9]  Andrea Lancichinetti,et al.  Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  Andrea Lancichinetti,et al.  Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.

[11]  Christophe Diot,et al.  Traffic matrix estimation: existing techniques and new directions , 2002, SIGCOMM 2002.

[12]  Xuesong Qiu,et al.  Efficient probe selection for fault localization using the property of submodularity , 2013, Int. J. Commun. Syst..

[13]  Ali Peiravi,et al.  An optimal energy‐efficient clustering method in wireless sensor networks using multi‐objective genetic algorithm , 2013, Int. J. Commun. Syst..

[14]  José-Luis Marzo,et al.  Traffic-level community protection in telecommunication networks under large-scale failures , 2012, 2012 International Symposium on Performance Evaluation of Computer & Telecommunication Systems (SPECTS).

[15]  Xueqi Cheng,et al.  Mobile social networks: state-of-the-art and a new vision , 2012, Int. J. Commun. Syst..

[16]  Dino Pedreschi,et al.  A classification for community discovery methods in complex networks , 2011, Stat. Anal. Data Min..

[17]  Piet Van Mieghem,et al.  Network protection against worms and cascading failures using modularity partitioning , 2010, 2010 22nd International Teletraffic Congress (lTC 22).

[18]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[19]  Béla Bollobás,et al.  Random Graphs: Notation , 2001 .

[20]  Eusebi Calle,et al.  Quantitative and qualitative network robustness analysis under different multiple failure scenarios , 2011, 2011 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).

[21]  Matthew Roughan,et al.  The Internet Topology Zoo , 2011, IEEE Journal on Selected Areas in Communications.

[22]  Harry Eugene Stanley,et al.  Robustness of interdependent networks under targeted attack , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Eytan Modiano,et al.  Network Reliability With Geographically Correlated Failures , 2010, 2010 Proceedings IEEE INFOCOM.

[24]  Mohamed Ould-Khaoua,et al.  Performance comparison of end‐to‐end and on‐the‐spot traffic‐aware techniques , 2013, Int. J. Commun. Syst..

[25]  T. Vicsek,et al.  Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.

[26]  Andrzej Jajszczyk,et al.  A unified quality of recovery (QoR) measure , 2008 .

[27]  R. Carter.  11 – IT and society , 1991 .

[28]  Shlomo Havlin,et al.  Suppressing epidemics with a limited amount of immunization units. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  Yu Wang,et al.  A cascading failure model for interdomain routing system , 2012, Int. J. Commun. Syst..

[30]  Jari Saramäki,et al.  Characterizing the Community Structure of Complex Networks , 2010, PloS one.

[31]  T. Vicsek,et al.  Weighted network modules , 2007, cond-mat/0703706.

[32]  Steve Uhlig,et al.  Providing public intradomain traffic matrices to the research community , 2006, CCRV.

[33]  Boleslaw K. Szymanski,et al.  Overlapping community detection in networks: The state-of-the-art and comparative study , 2011, CSUR.