PANACEA

Proactive Autonomic Management of Cloud Resources

 Coordinatore CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE 

 Organization address address: avenue Edouard BELIN 16
city: TOULOUSE
postcode: 31055/4

contact info
Titolo: Mr.
Nome: Patrick
Cognome: MOUNAUD
Email: send email
Telefono: +33 5 61336080
Fax: +33 5 62172901

 Nazionalità Coordinatore France [FR]
 Totale costo 3˙172˙422 €
 EC contributo 2˙130˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2013-10
 Funding Scheme CP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-10-01   -   2016-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE

 Organization address address: avenue Edouard BELIN 16
city: TOULOUSE
postcode: 31055/4

contact info
Titolo: Mr.
Nome: Patrick
Cognome: MOUNAUD
Email: send email
Telefono: +33 5 61336080
Fax: +33 5 62172901

FR (TOULOUSE) coordinator 0.00
2    ATOS CONSULTING CANARIAS SA UNIPERSONAL

 Organization address address: CALLE PASEO TOMAS MORALES 85, PLANTA 1
city: LAS PALMAS DE GRAN CANARIA
postcode: 35004

contact info
Titolo: Mr.
Nome: Juan
Cognome: Bareño
Email: send email
Telefono: +34 91 214 88 00

ES (LAS PALMAS DE GRAN CANARIA) participant 0.00
3    ATOS SPAIN SA

 Organization address address: Calle de Albarracin 25
city: Madrid
postcode: 28037

contact info
Titolo: Mr.
Nome: Daniel
Cognome: Field
Email: send email
Telefono: +34 934861818
Fax: +34 93 486 07 66

ES (Madrid) participant 0.00
4    IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD

 Organization address address: 94 DERECH EM-HAMOSHAVOT
city: PETACH TIKVA
postcode: 49527

contact info
Titolo: Mr.
Nome: Guy
Cognome: Ziv
Email: send email
Telefono: +972 48281144

IL (PETACH TIKVA) participant 0.00
5    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: Exhibition Road, South Kensington Campus
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Mr.
Nome: Shaun
Cognome: Power
Email: send email
Telefono: +44 207 594 8773
Fax: +44 207 594 1265

UK (LONDON) participant 0.00
6    INTERNATIONAL RESEARCH INSTITUTE FOR AUTONOMIC NETWORK COMPUTING (IRIANC) EV

 Organization address address: MENRADSSTRASSE 2
city: MUNCHEN
postcode: 80634

contact info
Titolo: Dr.
Nome: Dimiter
Cognome: Avresky
Email: send email
Telefono: 494515000000

DE (MUNCHEN) participant 0.00
7    QOS DESIGN SARL

 Organization address address: AVENUE MARCEL DORET 6
city: TOULOUSE
postcode: 31500

contact info
Titolo: Mrs.
Nome: Martine
Cognome: Guillaume
Email: send email
Telefono: 33670212482
Fax: +33 959937864

FR (TOULOUSE) participant 0.00
8    UNIVERSIDAD COMPLUTENSE DE MADRID

 Organization address address: AVENIDA DE SENECA 2
city: MADRID
postcode: 28040

contact info
Titolo: Mrs.
Nome: María Isabel
Cognome: Rodríguez Villa
Email: send email
Telefono: 34913946376
Fax: 34913946382

ES (MADRID) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

software    self    storage    deal    time    network    learning    resource    proactive    cloud    servers    agents    computing    virtualization    you    autonomic    machine    virtual   

 Obiettivo del progetto (Objective)

The main objective of the project 'PANACEA' is to provide Proactive Autonomic Management of Cloud Resources as a remedy to the exponentially growing complexity.nIf you look at the system resources (Internet) at the bottom of the stack, that system resource can be servers, storage, data centres, and network resources, the concept is then to build a level of virtualization of those resources so that any given event is not tied to one box necessarily or to one storage disk. Once you get that kind of leverage, you can build the set of functions that relate to autonomic self-* properties: configuring, healing, optimizing and protecting. The design that you have to have holistically has to deal with the fact that components are going to fail. The aim of a Cloud Computing platform is to support redundant, self-recovering, highly scalable programming models that allow workloads to recover from many inevitable hardware/software failures and monitoring resource use in real time for providing physical and virtual servers, on which the applications can run.nIt will propose innovative solutions for autonomic management of cloud resources, which will be based on a set of advanced Machine Learning Techniques and virtualization. A Machine Learning (ML) framework will be created for a proactive autonomic management of cloud resources. It will allow predicting the failure time of software, or user applications running on Virtual Machines (VM) and the violation of expected response time of services.nTo deal with the vast number of possible resources to monitor, our main approach will consider the use of mobile agents, which will move on the cloud, interacting with other agents, reading computing and network sensors, and making autonomous decisions on what to measure, when to report and to whom. Distributed Machine Learning, based on Reinforcement Learning and Neural Networks, will be used to enforce 'self-organizing paths'.

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