ALLOW Ensembles

ALLOW Ensembles

 Coordinatore UNIVERSITAET STUTTGART 

 Organization address city: Stuttgart
postcode: 70569

contact info
Titolo: Mr.
Nome: Michael
Cognome: Matthiesen
Email: send email
Telefono: +49 71168588414
Fax: +49 71168578414

 Nazionalità Coordinatore Germany [DE]
 Totale costo 3˙893˙424 €
 EC contributo 2˙959˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-9
 Funding Scheme CP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-02-01   -   2016-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAET STUTTGART

 Organization address city: Stuttgart
postcode: 70569

contact info
Titolo: Mr.
Nome: Michael
Cognome: Matthiesen
Email: send email
Telefono: +49 71168588414
Fax: +49 71168578414

DE (Stuttgart) coordinator 0.00
2    DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH

 Organization address address: Trippstadter Strasse
city: KAISERSLAUTERN
postcode: 67663

contact info
Titolo: Dr.
Nome: Walter
Cognome: Olthoff
Email: send email
Telefono: +49 631 205755010
Fax: +49 631 205755020

DE (KAISERSLAUTERN) participant 0.00
3    FONDAZIONE BRUNO KESSLER

 Organization address address: VIA SANTA CROCE
city: TRENTO
postcode: 38122

contact info
Titolo: Mr.
Nome: Umberto
Cognome: Silvestri
Email: send email
Telefono: +39 0461 314355
Fax: +39 0461 302040

IT (TRENTO) participant 0.00
4    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 8609

UK (LONDON) participant 0.00
5    PANEPISTIMIO KRITIS (UNIVERSITY OF CRETE)

 Organization address address: PANEPISTIMIOUPOLI RETHIMNOU (UNIVERSITY CAMPUS, GALLOS, RETH
city: RETHYMNON, CRETE
postcode: 74100

contact info
Titolo: Prof.
Nome: Christos
Cognome: Nikolaou
Email: send email
Telefono: +30 2810393597
Fax: +30 2810393501

EL (RETHYMNON, CRETE) participant 0.00

Mappa


 Word cloud

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

behavior    pervasive    specialization    utility    collective    changing    ensemble    cells    cell    nthe    evolution    ensembles    data   

 Obiettivo del progetto (Objective)

The recent advances in pervasive technologies enable construction of large-scale socio-technical systems which tightly interweave humans and their social structures with the technology. These systems are realized as a collective of diverse heterogeneous actors situated both in the physical world such as people, objects etc., and in the backend computer systems such as control processes. The objective of ALLOW Ensemble is to develop a new design principle for large-scale collective systems (CAS) based on the concepts of cells and ensembles. Cells are basic building blocks representing the different components of the system and ensembles are collections of cells collaborating together to accomplish certain goal in a given context. We use Adaptive Pervasive Flows – a programming paradigm based on workflow technology for pervasive systems – to model the behavior of cells as a set of interrelated tasks. This enables the salient principle of cell specialization. It allows for changing the behavior of the individual cell (tasks and order of execution) to fit into an ensemble and to achieve a given goal with high utility in collaboration with other cells of the ensemble.nFollowing the principle of cell specialization, we develop methodologies for the evolution of cells and ensembles to meet arbitrary system goals, autonomously improving the utility of the system under changing contexts. Another major goal of the project is to develop models, theories and algorithm to ensure robustness and security so that ensembles can survive wide range of hardware/software failures and can protect sensitive data. Furthermore, we do novel research on the controllability of emergent properties of complex ensemble systems.nThe ensemble concept challenges current thinking as it represents a new type of systems that evolve over multiple generations to adapt to contextual changes and constantly improve utility. Evolutionary data is collected and analyzed to learn from the characteristics of past ensembles executions. This knowledge forms the foundation of evolution, leading to robust and high utility systems.nThe resulting fundamental concepts will be tested based on visionary application scenarios such as integrated urban transport and smart production chains, to evaluate their applicability.

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