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How CSMA/CA With Deferral Affects Performance and Dynamics in Power-Line Communications

Patrick Thiran, Julien Pierre Sacha Herzen, Christina Vlachou

Power-line communications (PLC) are becoming a key component in home networking, because they provide easy and high-throughput connectivity. The dominant MAC protocol for high data-rate PLC, the IEEE 1901, employs a CSMA/CA mechanism similar to the backoff ...

Ieee-Inst Electrical Electronics Engineers Inc2017

A Formally Verified NAT

George Candea, Solal Vincenzo Pirelli, Aikaterini Argyraki, Arseniy Zaostrovnykh, Luis David Figueiredo Mascarenhas Moreira Pedrosa

We present a Network Address Translator (NAT) written in C and proven to be semantically correct according to RFC 3022, as well as crash-free and memory-safe. There exists a lot of recent work on network verification, but it mostly assumes models of networ ...

Assoc Computing Machinery2017

Error Tolerance Analysis of Deep Learning Hardware Using a Restricted Boltzmann Machine Toward Low-Power Memory Implementation

Alexandre Schmid, Takao Marukame, Kodai Ueyoshi

Remarkable hardware robustness of deep learning (DL) is revealed by error injection analyses performed using a custom hardware model implementing parallelized restricted Boltzmann machines (RBMs). RBMs in deep belief networks demonstrate robustness against ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Measuring and Managing Switch Diversity in Software Defined Networks

Maciej Leszek Kuzniar

Software Defined Networking (SDN) is a novel approach to building computer networks. Improved flexibility, simplified management and cost reduction promised by SDN makes many see it as the future of networking. The main insight of SDN is the separation of ...

EPFL2016

Price-based Controller for Quality-Fair HTTP Adaptive Streaming

Pascal Frossard, Laura Toni, Stefano D'Aronco

HTTP adaptive streaming (HAS) has become the universal technology for video streaming over the Internet. Many HAS system designs aim at sharing the network bandwidth in a rate-fair manner. However, rate fairness is in general not equivalent to quality fair ...

IEEE2016

Analysis and Enhancement of CSMA/CA With Deferral in Power-Line Communications

Patrick Thiran, Julien Pierre Sacha Herzen, Christina Vlachou

Power-line communications are employed in home networking to provide easy and high-throughput connectivity. The IEEE 1901, the MAC protocol for power-line networks, employs a CSMA/CA protocol similar to that of 802.11, but is substantially more complex, wh ...

Ieee-Inst Electrical Electronics Engineers Inc2016

On the Complexity of Scheduling in Half-Duplex Diamond Networks

Christina Fragouli, Ayfer Özgür Aydin, Siddhartha Brahma

We consider an n-relay Gaussian diamond network where a source communicates to a destination with the help of n half-duplex relays. Achieving rates close to the capacity of this network requires to employ all the n relays under an optimal transmit/receive ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Small, fast, and tough: Shrinking down integrated elastomer transducers

Herbert Shea, Samuel Rosset

We review recent progress in miniaturized dielectric elastomer actuators (DEAs), sensors, and energy harvesters. We focus primarily on configurations where the large strain, high compliance, stretchability, and high level of integration offered by dielectr ...

Amer Inst Physics2016

Simplifying Development and Management of Software-Defined Networks

Peter Peresini

Computer networks are an important part of our life. Yet, they are traditionally hard to manage and operate. The recent shift to Software-Defined Networking (SDN) is promised to change the way in which the networks are run by their operators. However, SDN ...

EPFL2016

Energy-Efficient Co-Design Optimization of Many-Core Platforms for Big-Data Streaming Applications

Karim Kanoun

Big-Data streaming applications are used in several domains such as social media analysis, financial analysis, video annotation, surveillance, medical services and traffic prediction. These applications, running on different types of platforms from mobile ...

EPFL2015

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Error Tolerance Analysis of Deep Learning Hardware Using a Restricted Boltzmann Machine Toward Low-Power Memory Implementation

Alexandre Schmid, Takao Marukame, Kodai Ueyoshi

Ieee-Inst Electrical Electronics Engineers Inc2017