http://www.cnr.it/ontology/cnr/individuo/prodotto/ID203988
A Planning and Scheduling Service for the ULISSE Platform (Contributo in atti di convegno)
- Type
- Label
- A Planning and Scheduling Service for the ULISSE Platform (Contributo in atti di convegno) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/SMC-IT.2011.26 (literal)
- Alternative label
Cesta, Amedeo; Fratini, Simone ; Rasconi, Riccardo ; Orlandini, Andrea (2011)
A Planning and Scheduling Service for the ULISSE Platform
in IEEE Fourth International Conference on Space Mission Challenges for Information Technology, 2011, Palo Alto, CA, USA, 2-4 August 2011
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Cesta, Amedeo; Fratini, Simone ; Rasconi, Riccardo ; Orlandini, Andrea (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- ID_PUMA: /cnr.istc/2011-A2-028. - Area di valutazione 01 - Scienze matematiche e informatiche (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6007773 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISTC, Roma1-SanMartino ; CNR-ISTC, Roma2-Bioparco ; CNR-ITIA, Milano (literal)
- Titolo
- A Planning and Scheduling Service for the ULISSE Platform (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4577-0712-4 (literal)
- Abstract
- ULISSE is an EU project that aims at data valorization around the ISS experiments. The ULISSE software platform is endowed with a number of additional services to improve both data production and data analysis. This paper describes the Planning and Scheduling Service (PSS), a module developed to support functions of data production around the ISS activities and integrated in the ULISSE platform. In particular, the PSS is a software application developed within the Timeline Representation Framework and relies on a combination of different P&S algorithms in a loosely coupled way. Its current use to support Increment Planning activities for the Fluid Science Laboratory facility is shown and fully analyzed from design to application service delivery. (literal)
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