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Software Framework for Integrated Modelling and Dimensioning of Backbone Optical Networks

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Is the Network Turing-Complete?

Dejan Kostic, Peter Peresini

Ensuring correct network behavior is hard. This is the case even for simple networks, and adding middleboxes only complicates this task. In this paper, we demonstrate a fundamental property of networks. Namely, we show a way of using a network to emulate t ...

2013

Computing the size and number of neuronal clusters in local circuits

Henry Markram, Rodrigo de Campos Perin, Martin Telefont

The organization of connectivity in neuronal networks is fundamental to understanding the activity and function of neural networks and information processing in the brain. Recent studies show that the neocortex is not only organized in columns and layers b ...

Frontiers Research Foundation2013

Privacy and Dynamics of Social Networks

Pedram Pedarsani

Over the past decade, investigations in different fields have focused on studying and understanding real networks, ranging from biological to social to technological. These networks, called complex networks, exhibit common topological features, such as a h ...

EPFL2013

Privacy and Dynamics of Social Networks (PhD Thesis: pre-print)

Pedram Pedarsani

2012

Computational Aspects of Distributed Optimization in Model Predictive Control

Colin Neil Jones, Tyler Summers, Melanie Nicole Zeilinger

This paper presents a systematic computational study on the performance of distributed optimization in model predictive control (MPC). We consider networks of dynamically coupled systems, which are subject to input and state con- straints. The resulting MP ...

2012

Network Coding

Mahdi Jafari Siavoshani

The demand for higher throughput and better efficiency are two important challenges for future communication networks. During the past decades, a lot of research studies have been devoted to investigating and proposing near optimal and efficient schemes an ...

EPFL2012

Definitive Consensus for Distributed Data Inference

Leonidas Georgopoulos

Inference from data is of key importance in many applications of informatics. The current trend in performing such a task of inference from data is to utilise machine learning algorithms. Moreover, in many applications that it is either required or is pref ...

EPFL2011

On the Broadcast Capacity of Wireless Networks With Cooperative Relays

Michael Christoph Gastpar

A fundamental problem in wireless networks is determining the broadcast capacity, i.e., the maximum data transfer rate from a given node to every other node in a relay network. This paper studies the scaling of the broadcast capacity for a network with a s ...

2010

JAVOBS: A Flexible Simulator for OBS Network Architectures

Sébastien Rumley, Christian Gaumier

Since the OBS paradigm has become a potential candidate to cope with the needs of the future all optical networks, it has really caught the attention from both academia and industry worldwide. In this direction, OBS networks have been investigated under ma ...

Academy Publisher2010

Software Tools and Methods for Research and Education in Optical Networks

Sébastien Rumley, Christian Gaumier

Recent advances in photonic communication networks require planning, modelling and simulation tools of ever increasing scope and complexity. Based on valid and credible models, simulators are used heavily to investigate and assess new solutions before impl ...

Springer2009