DocumentCode
3507497
Title
The Big Picture, from Grids and Clouds to Crowds: A Data Collective Computational Intelligence Case Proposal for Managing Disasters
Author
Bessis, Nik ; Asimakopoulou, Eleana ; French, Tim ; Norrington, Peter ; Xhafa, Fatos
Author_Institution
Dept. of Comput. Sci. & Technol., Univ. of Bedfordshire, Luton, UK
fYear
2010
fDate
4-6 Nov. 2010
Firstpage
351
Lastpage
356
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.
Keywords
Web services; cloud computing; grid computing; software architecture; ubiquitous computing; Web 2.0; Web services; big picture model architecture; cloud computing; crowd sourcing; disaster management; distributed data systems; grid computing; heterogeneous data systems; next generation technologies; pervasive computing; situated computing; Ad hoc mobile networks; Cloud computing; Collective intelligence; Crowd sourcing; Disaster management; Grid computing; component;
fLanguage
English
Publisher
ieee
Conference_Titel
P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4244-8538-3
Electronic_ISBN
978-0-7695-4237-9
Type
conf
DOI
10.1109/3PGCIC.2010.58
Filename
5662766
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