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DTSTART:20151025T030000
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UID:calendar.7197.field_data.0@diag.uniroma1.it
DTSTAMP:20220529T111408Z
CREATED:20151123T130649Z
DESCRIPTION:Computing systems and networks are more and more becoming dynam
ic. The static and relatively stable models of computation can no longer r
epresent a plethora of rapidly emerging new technologies. In recent years\
, we have seen a tremendous increase in the number of new mobile computing
devices. Even the Internet has become mobile. Traditional approached have
usually considered causes of dynamicity\, such as failures\, that induce
a low rate of (temporary) topological changes. This is unsuitable for reas
oning about truly dynamic networks\, which may change at a very high rate
and in a worst-case manner. Even graph-theoretic techniques need to be rev
isited: the suitable graph model is now that of a temporal graph\, which\,
in the discrete case\, may be viewed as a time-sequence of static graphs.
Though static graphs have been extensively studied\, for their temporal g
eneralization we are still far from having a concrete set of structural an
d algorithmic principles. Additionally\, it is not yet clear how is the co
mplexity of combinatorial optimization problems affected by introducing to
them a notion of time.In this talk\, we will survey our and others resear
ch in the fascinating and steadily growing area of dynamic networks. We wi
ll cover two equally important sub-areas: (i) distributed models and algor
ithms for dynamic networks and (ii) structural and algorithmic properties
of temporal graphs. In the distributed computing part\, we will begin by d
iscussing the population protocol model (one of the first models in this a
rea)\, which has served as a quite general model of computation in dynamic
environments\, as a model of distributed construction of networks and sha
pes\, and which is related to chemical and algorithmic self-assembly model
s. Then we will revisit classical distributed tasks\, like counting\, nami
ng\, and information dissemination\, in worst-case dynamic networks. Final
ly\, we will turn our attention to the underlying model of temporal graphs
. We will prove a temporal analogue of Menger's theorem\, we will discuss
the problem of designing an 'efficient' temporal graph\, given some requir
ements that the graph should meet\, and we will touch on (algorithms and c
omplexity of) temporal versions of classical graph problems. Bio: Othon Mi
chail is a Senior Researcher in the RU1 of the Computer Technology Institu
te (CTI) and an Adjunct Faculty at the University of Patras. He is the CI
and Project Manager of project FOCUS (2012-2015)\, which is a regional gra
nt for excellence in science and technology and studies the foundations of
dynamic distributed systems and networks. He has also worked as a key res
earcher in several high-quality EU FET/FP7 research projects\, such as FRO
NTS and VITRO. He is one of the authors of the book 'New Models for Popula
tion Protocols' appearing in a series edited by Prof. Nancy Lynch (MIT). H
is research interests include Distributed and Mobile Computing\, Modeling
and Analyzing novel ICT systems\, Theory of Computation\, and Design and A
nalysis of Algorithms. He has been a PC Member of the international confer
ences ACM PODC 2015 and CIAC 2013.
DTSTART;TZID=Europe/Paris:20151125T140000
DTEND;TZID=Europe/Paris:20151125T140000
LAST-MODIFIED:20151124T130700Z
LOCATION:Aula Magna DIAG\, via Ariosto 25\, I floor
SUMMARY:Othon Michail: Foundations of Dynamic Networks - November 25th @DIA
G -
URL;TYPE=URI:https://diag.uniroma1.it/node/7197
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