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A PhD thesis position is opened in the RESO INRIA Team in Lyon/France
(LIP - ENS Lyon - http://www.ens-lyon.fr/LIP/RESO/web/)
Title: "Integration of traffic awareness in substitution networks"
Scientific context: A fleet of mobile routers could be used to deploy
a substitution network in order to help an already existing network
(called base network hereafter) that is faced to difficulties (like,
for instance, an equipment failure, a power failure, or a high traffic
increase).
Due to its autonomous mobile components and to the use of wireless
links, the substitution network is very likely to have a limited
capacity compared to the base network. Therefore a very careful
deployment and management of the substitution network is required.
Specifically, an accurate knowledge of the on-going traffic (and if
possible of the future traffic) may be of some interest to adapt the
topology of the substitution network and to tune the protocols.
Moreover, as the substitution network is deployed for a limited
lifetime (corresponding to the time of the trouble of the base
network), it is also important to be able to determine when the
substitution network is not needed anymore. To this end, the design of
a performance metric based on available measurements is required in
order to bring an accurate and up-to-date view of the network's usage
to the protocols running on the networks (base and
substitution). The output of this metric will be strongly tighten to
the developed protocols as the substitution should be able to react
and to adapt efficiently to the knowledge sent by the metrology system.
Goal: This PhD. thesis should bring the gap between the metrology
domain and the routing optimization field in the context of
substitution networks. This PhD. thesis will handle the routing
problem (and very likely the multipath routing) and the admission
control problem assuming a knowledge regarding the nature of the
flows. The two main points that will be addressed in this work are:
o Study methods to detect when a substitution network is needed
and at which time it is no longer useful. The method is likely to
involve some statistical tools to characterize the flow patterns and
basic knowledge in queueing theory.
o Develop implementable strategies to share the available network
resource between the competing flows according to their critical
impact (control traffic goes first) and to their requirements in terms
of delays, throughput, or losses. This implies the development of
networking protocols to optimize the overall network performance based
on a categorization of the existing flows.
Required skills: The candidate must have:
o Knowledge in networking. Knowledge in performance evaluation is a plus.
o Excellent analytical and technical skills. Good skills in
programming are necessary.
o Excellent organizational and communication skills.
Each application must contain the following documents:
- a detailed CV in English
- a list of relevant academic courses (with grades)
- a list of 1 or 2 references with contact addresses
- a 1-page research statement, indicating the experience/interest with
respect to the proposed topics
Applications should be sent electronically to
isabelle.guerin-lassous@ens-lyon.fr.
For more information, please contact
Isabelle Guérin Lassous
Professor
LIP (INRIA - CNRS - ENS Lyon - Université Lyon 1)
isabelle.guerin-lassous@ens-lyon.fr
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