The big picture, from grids and clouds to crowds: a data collective computational intelligence case proposal for managing disasters

2.50
Hdl Handle:
http://hdl.handle.net/10547/279214
Title:
The big picture, from grids and clouds to crowds: a data collective computational intelligence case proposal for managing disasters
Authors:
Bessis, Nik; Asimakopoulou, Eleana; French, Tim; Norrington, Peter; Xhafa, Fatos
Abstract:
Much 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.
Citation:
Bessis, 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 : 351-356
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date:
2010
URI:
http://hdl.handle.net/10547/279214
DOI:
10.1109/3PGCIC.2010.58
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5662766
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9780769542379
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
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.en_GB
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
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