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Zawartość zarchiwizowana w dniu 2024-06-18

Autonomic Service-Component Ensembles

Opis projektu


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.

Dziedzina nauki (EuroSciVoc)

Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.

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Zaproszenie do składania wniosków

FP7-ICT-2009-5
Zobacz inne projekty w ramach tego zaproszenia

Koordynator

LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Wkład UE
€ 930 952,00
Adres
GESCHWISTER SCHOLL PLATZ 1
80539 MUNCHEN
Niemcy

Zobacz na mapie

Region
Bayern Oberbayern München, Kreisfreie Stadt
Rodzaj działalności
Higher or Secondary Education Establishments
Linki
Koszt całkowity
Brak danych

Uczestnicy (16)