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dc.contributor.authorBessis, Niken_GB
dc.contributor.authorAsimakopoulou, Eleanaen_GB
dc.contributor.authorFrench, Timen_GB
dc.contributor.authorNorrington, Peteren_GB
dc.contributor.authorXhafa, Fatosen_GB
dc.date.accessioned2013-04-07T19:02:50Z
dc.date.available2013-04-07T19:02:50Z
dc.date.issued2010
dc.identifier.citationBessis, N.; Asimakopoulou, E.; French, T.; Norrington, P. and Xhafa, F. (2010) 'The Big Picture, from Grids and Clouds to Crowds: A Data Collective Computational Intelligence Case Proposal for Managing Disasters,' P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), International Conference on : 351-356en_GB
dc.identifier.isbn9780769542379
dc.identifier.doi10.1109/3PGCIC.2010.58
dc.identifier.urihttp://hdl.handle.net/10547/279214
dc.description.abstractMuch work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. Various technology-driven paradigms have emerged, including Web Services, Web 2.0, Pervasive, Grids and Cloud Computing. Recently, some new paradigms have emerged, including Situated Computing and Crowd Sourcing. In this exploratory paper, we aim to be visionary, thus, we offer an overview highlighting relationships between these paradigms, the goal is to present how these fit into the broader picture of IT. More specifically, to discuss how these could help coin and prompt future direction of their usage (integration) in various real-world scenarios. A disaster management scenario is presented to illustrate the big picture's model architecture, as well as briefly discuss the potential impact resulting from the collective computational intelligence approach.
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5662766en_GB
dc.subjectweb servicesen_GB
dc.subjectcloud computingen_GB
dc.titleThe big picture, from grids and clouds to crowds: a data collective computational intelligence case proposal for managing disastersen
dc.typeConference papers, meetings and proceedingsen
html.description.abstractMuch work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. Various technology-driven paradigms have emerged, including Web Services, Web 2.0, Pervasive, Grids and Cloud Computing. Recently, some new paradigms have emerged, including Situated Computing and Crowd Sourcing. In this exploratory paper, we aim to be visionary, thus, we offer an overview highlighting relationships between these paradigms, the goal is to present how these fit into the broader picture of IT. More specifically, to discuss how these could help coin and prompt future direction of their usage (integration) in various real-world scenarios. A disaster management scenario is presented to illustrate the big picture's model architecture, as well as briefly discuss the potential impact resulting from the collective computational intelligence approach.


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