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Publications associées (27)

Scalable Bias-Resistant Distributed Randomness

Bryan Alexander Ford, Linus Gasser, Eleftherios Kokoris Kogias, Philipp Svetolik Jovanovic, Nicolas Gailly, Ismail Khoffi

Bias-resistant public randomness is a critical component in many (distributed) protocols. Existing solutions do not scale to hundreds or thousands of participants, as is needed in many decentralized systems. We propose two large-scale distributed protocols ...

IEEE2017

Rack-Scale Memory Pooling for Datacenters

Stanko Novakovic

The rise of web-scale services has led to a staggering growth in user data on the Internet. To transform such a vast raw data into valuable information for the user and provide quality assurances, it is important to minimize access latency and enable in-me ...

EPFL2017

Multicloud Resource Allocation : Cooperation, Optimization and Sharing

Hao Zhuang

Nowadays our daily life is not only powered by water, electricity, gas and telephony but by "cloud" as well. Big cloud vendors such as Amazon, Microsoft and Google have built large-scale centralized data centers to achieve economies of scale, on-demand res ...

EPFL2017

Distributed Time Series Analytics

Tian Guo

In recent years time series data has become ubiquitous thanks to affordable sensors and advances in embedded technology. Large amount of time-series data are continuously produced in a wide spectrum of applications, such as sensor networks, medical monitor ...

EPFL2017

Optimizing Information Leakage in Multicloud Storage Services

Karl Aberer, Hao Zhuang, Rameez Rahman

Many schemes have been recently advanced for storing data on multiple clouds. Distributing data over multiple cloud storage providers automatically provides users with a certain degree of information leakage control, for no single point of attack can leak ...

2016

Distributed Graph-Based Control of Convoys of Heterogeneous Vehicles using Curvilinear Road Coordinates

Alcherio Martinoli, Milos Vasic, Inaki Navarro Oiza, Florian Zimmermann

This paper investigates the problem of controlling a heterogeneous group of vehicles with the aim of forming multi-lane convoys. We use a distributed, graph-based control law, implemented in a longitudinal coordinate system parallel to the road. Each vehic ...

Ieee2016

Function Passing: A Model for Typed, Distributed Functional Programming

Heather Christine Klug, Philipp Haller, Jocelyn Boullier

The most successful systems for “big data” processing have all adopted functional APIs. We present a new programming model we call function passing designed to provide a more principled substrate on which to build data-centric distributed systems. A key id ...

Assoc Computing Machinery2016

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