Publications associées à Serveur racine du DNS

GARFIELD: System Support for Byzantine Machine Learning (Regular Paper)

Rachid Guerraoui, Sébastien Louis Alexandre Rouault, Arsany Hany Abdelmessih Guirguis

We present GARFIELD, a library to transparently make machine learning (ML) applications, initially built with popular (but fragile) frameworks, e.g., TensorFlow and PyTorch, Byzantine–resilient. GARFIELD relies on a novel object–oriented design, reducing t ...

IEEE2021

Encrypted DNS double right arrow Privacy? A Traffic Analysis Perspective

Carmela González Troncoso, Sandra Deepthy Siby, Narseo Vallina Rodriguez

Virtually every connection to an Internet service is preceded by a DNS lookup. Lookups are performed without any traffic-level protection, thus enabling manipulation, redirection, surveillance, and censorship. To address these issues, large organizations s ...

INTERNET SOC2020

System and method for providing a collective decentralized authority for sharing sensitive data

Jean-Pierre Hubaux, Bryan Alexander Ford, Jean Louis Raisaro, Zhicong Huang, Patricia Egger

A method of sharing private and/or sensitive data from plurality of data providers to a data user, the data user having a private key and a public key, the method comprising the steps of providing a first data set and encrypting the first data set at a ter ...

2018

Optimistic Causal Consistency for Geo-Replicated Key-Value Stores

Willy Zwaenepoel, Diego Didona, Kristina Spirovska

In this paper we present a new approach to implementing causal consistency in geo-replicated data stores, which we call Optimistic Causal Consistency (OCC). The optimism in our approach lies in that updates from a remote data center are immediately made vi ...

Ieee Computer Soc2017

Towards Near-Threshold Server Processors

David Atienza Alonso, Babak Falsafi, Marina Zapater Sancho, Luca Benini, Ali Pahlevan, Pablo Garcia del Valle, Javier Picorel Obando, Arash Pourhabibi Zarandi

The popularity of cloud computing has led to a dramatic increase in the number of data centers in the world. The ever-increasing computational demands along with the slowdown in technology scaling has ushered an era of power-limited servers. Techniques suc ...

IEEE/ACM2016

Approximation methods for large-scale spatial queueing systems

Nikolaos Geroliminis, Burak Boyaci

Different than the conventional queueing systems, in spatial queueing systems (SQS) the service rate for each customer-server pairs differs and the server that intervenes for a specific customer is not known a priori, depending on the availability of serve ...

Pergamon-Elsevier Science Ltd2015

Scale-Out NUMA

Babak Falsafi, Edouard Bugnion, Boris Robert Grot, Alexandros Daglis, Stanko Novakovic

Emerging datacenter applications operate on vast datasets that are kept in DRAM to minimize latency. The large number of servers needed to accommodate this massive memory footprint requires frequent server-to-server communication in applications such as ke ...

2014

Clearing the Clouds: A Study of Emerging Scale-out Workloads on Modern Hardware

Anastasia Ailamaki, Babak Falsafi, Mohammad Alisafaee, Michael Ferdman, Yusuf Onur Koçberber, Stavros Volos, Ilknur Cansu Kaynak, Al Mutaz Adileh, Dorde Jevdic, Adrian Daniel Popescu

Emerging scale-out workloads require extensive amounts of computational resources. However, data centers using modern server hardware face physical constraints in space and power, limiting further expansion and calling for improvements in the computational ...

2012

Quantifying the Mismatch between Emerging Scale-Out Applications and Modern Processors

Anastasia Ailamaki, Babak Falsafi, Michael Ferdman, Mohammad Alisafaee, Yusuf Onur Koçberber, Stavros Volos, Ilknur Cansu Kaynak, Adrian Daniel Popescu, Al Mutaz Adileh, Dorde Jevdic

Emerging scale-out workloads require extensive amounts of computational resources. However, data centers using modern server hardware face physical constraints in space and power, limiting further expansion and calling for improvements in the computational ...

Association for Computing Machinery2012

Disseminating Streaming Data in a Dynamic Environment: an Adaptive and Cost-Based Approach

In a distributed stream processing system, streaming data are continuously disseminated from the sources to the distributed processing servers. To enhance the dissemination efficiency, these servers are typically organized into one or more dissemination tr ...

Springer-Verlag2008