BigFoot
Big Data Analytics of Digital Footprints
| Coordinatore | EURECOM
Organization address
address: Campus SophiaTech. Route des Chappes CS 50193 450 contact info |
| Nazionalità Coordinatore | France [FR] |
| Totale costo | 3˙538˙386 € |
| EC contributo | 2˙562˙999 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2011-8 |
| Funding Scheme | CP |
| Anno di inizio | 2012 |
| Periodo (anno-mese-giorno) | 2012-10-01 - 2015-09-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
EURECOM
Organization address
address: Campus SophiaTech. Route des Chappes CS 50193 450 contact info |
FR (SOPHIA ANTIPOLIS) | coordinator | 0.00 |
| 2 |
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Organization address
address: BATIMENT CE 3316 STATION 1 contact info |
CH (LAUSANNE) | participant | 0.00 |
| 3 |
GRIDPOCKET SAS
Organization address
address: ROUTE DE CRETES contact info |
FR (VALBONNE SOPHIA ANTIPOLIS) | participant | 0.00 |
| 4 |
SYMANTEC LIMITED
Organization address
address: Barrow street, South Bank House contact info |
IE (DUBLIN 4) | participant | 0.00 |
| 5 |
TECHNISCHE UNIVERSITAET BERLIN
Organization address
address: STRASSE DES 17 JUNI contact info |
DE (BERLIN) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
The amount of digital information in our world has been exploding and new technologies and services will continue to fuel exponential growth of large pools of data that can be captured, stored, and analyzed. Nowadays, however, tools and services to store, process and interact with data are still in their infancy, represented by scattered solutions that fall short in having a unified vision, that lack common interfaces, and that only offer best-effort services.nnThe aim of BigFoot is to overcome current drawbacks by designing, implementing and evaluating a Platform-as-a-Service solution for processing and interacting with large volumes of data. The BigFoot stack -- which builds upon and contributes to the Apache Hadoop ecosystem and the OpenStack project, in addition to creating new open source components -- features automatic and self-tuned deployments of storage and processing services for private clouds, going beyond best-effort services currently available in the state-of-the-art. BigFoot takes a novel, cross-layer approach to system optimization, which is evaluated with a thorough experimental methodology using realistic workloads and datasets from two representative application, namely ICT Security and Smart Grid data analytics. In addition, BigFoot aims at making data interaction easy by supporting high-level languages (for batch oriented analytic tasks) and by taking a service-oriented approach to support and optimize latency sensitive queries.