COMPOSER

Composition and Management of Polymorphic Services

 Coordinatore THE UNIVERSITY OF MANCHESTER 

 Organization address address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL

contact info
Titolo: Ms.
Nome: Liz
Cognome: Fay
Email: send email
Telefono: 441613000000

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 209˙105 €
 EC contributo 209˙105 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2011-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-07-01   -   2013-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF MANCHESTER

 Organization address address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL

contact info
Titolo: Ms.
Nome: Liz
Cognome: Fay
Email: send email
Telefono: 441613000000

UK (MANCHESTER) coordinator 209˙105.55

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 Word cloud

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

problem    composition    service    polymorphic    framework    architecture    criteria    organisation    agent    self    business    decentralised    autonomic    experimentation    services    models    inspired    infrastructure    bio   

 Obiettivo del progetto (Objective)

'To achieve flexible service provision software services can be endowed with self-* capabilities, such as self-adaptation and self-organisation, and service composition and management can take place autonomically. Such services are termed “polymorphic” since their functionality and structure vary dynamically. The view in the proposed project is that the autonomic behaviour of polymorphic services can be effectively supported by an agent architecture realising bio-inspired self-organisation and decentralised control models that are driven by user and business value criteria. The proposed research aims to contribute towards a framework for autonomic adaptation and composition of polymorphic services. The main objectives are:

- Investigation of modelling principles and notations for representing polymorphic service adaptation and composition.

- Development of an agent-based reference architecture implementing mechanisms for polymorphic service composition and management based on bio-inspired self-organisation and decentralised control models driven by user and business value criteria.

- Integration of the above architecture in a cloud-based large-scale experimentation infrastructure and tuning of key framework parameters through experimentation.

- Evaluation of the proposed approach (how well the polymorphic services approach satisfies the requirements of specific case studies) both quantitatively using simulations and qualitatively using opinions gathered with semi-structured interviews.

The problem to be examined falls within the scope of the wider autonomic service composition problem currently tackled in large EU projects and the proposed approach significantly extends existing work in autonomic service composition and management by considering user and business value criteria, instead of only system infrastructure and performance ones, to drive autonomic service behaviours in polymorphic service composition and management.'

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