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Autonomic Service-Component Ensembles

Projektbeschreibung


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.

Wissenschaftliches Gebiet (EuroSciVoc)

CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.

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Aufforderung zur Vorschlagseinreichung

FP7-ICT-2009-5
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Koordinator

LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
EU-Beitrag
€ 930 952,00
Adresse
GESCHWISTER SCHOLL PLATZ 1
80539 MUNCHEN
Deutschland

Auf der Karte ansehen

Region
Bayern Oberbayern München, Kreisfreie Stadt
Aktivitätstyp
Higher or Secondary Education Establishments
Links
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Beteiligte (16)