SAMOVAR UMR 5157

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Accueil > Productions scientifiques > Thèses SAMOVAR > Thèses 2014

"Multi-Operator Greedy Routing Based on Open Routers"

"Multi-Operator Greedy Routing Based on Open Routers"

"Multi-Operator Greedy Routing Based on Open Routers"

La thèse sera soutenue par Daniel Philip VENMANI, doctorant au sein du laboratoire SAMOVAR (UMR 5157 CNRS) de Télécom SudParis.

Mercredi 26 février 2014 à 14h15.

Institut Mines-Télécom, 46 rue Barrault, 75013 Paris, Salle C48.

Jury

  • Rapporteurs :
    • Professeur Marcelo Dias De Amorim, Président, Université Pierre et Marie Curie, France
    • Professeur Kaldoun Al Agha, Université Paris-Sud, France
    • Professeur Raouf Boutaba, Université de Waterloo, Canada
  • Examinateurs :
    • Professeur Philippe Godlewski, Télécom ParisTech, France
    • Docteur Laurent Ciavaglia, Alcatel-Lucent Bell Labs, France
    • Docteur Olivier Festor, INRIA Nancy-Grand Est, France
  • Directeur de thèse :
    • Professeur Djamal Zeghlache, Télécom SudParis, France
  • Encadrant :
    • Docteur Yvon Gourhant, Orange Labs, France

Résumé

"Internet Service Providers (ISPs) and Mobile Network Operators (MNOs) are impacted by excessive smartphones usage with operational costs (OPEX) associated with traditional backhaul methods rising faster than the revenue generated by the new data services. Building a mobile backhaul network is very different from building a commercial data network. A mobile backhaul network requires (i) QoS-based traffic with strict requirements on delay and jitter (ii) high availability/reliability. While most ISPs and MNOs have promised advantages of redundancy and resilience to guarantee high availability, there is still the specter of failure intoday’s networks.

The underlying observation is that ISPs and MNOs are still exposed to rapid fluctuations and/or unpredicted breakdowns in traffic ; it goes without saying that even the largest operators can be affected.

But what if, these operators could now put in place designs and mechanisms to improve network survivability to avoid such occurrences
 ?

What if mobile network operators can come up with low-cost backhaul solutions together with ensuring the required availability and reliability in the networks ?

With this problem statement in-hand, the overarching theme of this dissertation is within the following scopes :

(i) to provide low-cost backhaul solutions ; the motivation here being able to build networks without over-provisioning and then to bring-in new resources (link capacity/bandwidth) on occasions of unexpected traffic surges as well as on network failure conditions for particularly ensuring premium services

(ii) to provide uninterrupted communications even at times of network failure conditions, but without redundancy. Here a slightly greater emphasis is laid on tackling the ‘last-mile’ link failures.

The scope of this dissertation is therefore to propose, design and model novel network architectures for improving effective network survivability and network capacity, at the same time by eliminating network-wide redundancy, adopted within the context of mobile backhaul networks.

Motivated by this, we study the problem of how to share the available resources of a backhaul network among its competitors, with whom a Service Level Agreement (SLA) has been concluded. Thus, we present a systematic study of our proposed solutions focusing on a variety of empirical resource sharing heuristics and optimization frameworks.

With this background, our work extends towards a novel fault restoration framework which can cost-effectively provide protection and restoration for the operators, enabling them with a parameterized objective function to choose desired paths based on traffic patterns of their endcustomers.

We then illustrate the survivability of backhaul networks with reduced amount of physical redundancy, by effectively managing geographically distributed backhaul network equipments which belong to different MNOs using ‘logically-centralized’ physically-distributed controllers, while meeting strict constraints on network availability and reliability."