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Contenido archivado el 2024-06-18

Autonomic Service-Component Ensembles

Descripción del proyecto


Self-Awareness in Autonomic Systems

Future software-intensive systems, such as sensor networks, power grids, satellite and robot swarms, will generally exhibit a number of characteristic features:

  • Massive numbers of nodes, nodes with complex behavior, or complex interactions between nodes.
  • Operation in open and non-deterministic environments with variable network topology.
  • Need for adaptation, e.g. to changing environments and requirements.
We call this future generation of software-intensive systems ensembles. The potentially huge impact - both positive and negative - of ensembles means that we need to understand ways to reliably and predictably model, design, and program them.
Although there is a lot of research in this area, so far no theoretically well-founded technique for building ensembles exists. The goal of the ASCENS project is to develop such a method and to demonstrate its feasibility in three important application domains: robot swarms, cloud computing and e-mobility.

Future software-intensive systems, such as sensor networks, power grids, satellite and robot swarms, will generally exhibit a number of characteristic features:
* Massive numbers of nodes, nodes with complex behavior, or complex interactions between nodes.* Operation in open and non-deterministic environments with variable network topology.* Need for adaptation, e.g. to changing environments and requirements.
We call this future generation of software-intensive systems ensembles. The potentially huge impact - both positive and negative - of ensembles means that we need to understand ways to reliably and predictably model, design, and program them.
Although there is a lot of research in this area, so far no theoretically well-founded technique for building ensembles exists. The goal of the ASCENS project is to develop such a method and to demonstrate its feasibility in three important application domains: robot swarms, cloud computing and e-mobility.

Ámbito científico (EuroSciVoc)

CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.

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Convocatoria de propuestas

FP7-ICT-2009-5
Consulte otros proyectos de esta convocatoria

Régimen de financiación

CP - Collaborative project (generic)

Coordinador

LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Aportación de la UE
€ 930 952,00
Dirección
GESCHWISTER SCHOLL PLATZ 1
80539 MUNCHEN
Alemania

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Región
Bayern Oberbayern München, Kreisfreie Stadt
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
Sin datos

Participantes (16)