5.00
Hdl Handle:
http://hdl.handle.net/10547/270642
Title:
From grids to clouds: a collective intelligence study for inter-cooperated infrastructures
Authors:
Sotiriadis, Stelios; Bessis, Nik; Sant, Paul; Maple, Carsten
Abstract:
Recently, more effort has been put into developing interoperable and distributed environments that offer users exceptional opportunities for utilizing resources over the internet. By utilising grids and clouds, resource consumers and providers, they gain significant benefits by either using or purchasing the computer processing capacities and the information provided by data centres. On the other hand, the collective intelligence paradigm is characterized as group based intelligence that emerges from the collaboration of many individuals, who in turn, define a coordinated knowledge model. It is envisaged that such a knowledge model could be of significant advantage if it is incorporated within the grid and cloud community. The dynamic load and access balancing of the grid and cloud data centres and the collective intelligence provides multiple opportunities, involving resource provisioning and development of scalable and heterogeneous applications. The contribution of this paper is that by utilizing grid and cloud resources, internal information stored within a public profile of each participant, resource providers as well as consumers, can lead to an effective mobilization of improved skills of members. We aim to unify the grid and cloud functionality as consumable computational power, for a) discussing the supreme advantages of such on-line resource utilization and provisioning models and b) analyzing the impact of the collective intelligence in the future trends of the aforementioned technologies.
Affiliation:
University of Bedfordshire, UK
Citation:
Sotiriadis,S., Bessis, N., Sant, P. and Maple, C. (2010) “From Grids to Clouds: A collective intelligence study for inter-cooperated infrastructures”, The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP-2010), IARIA, 25 – 30 October 2010, Florence, Italy, p.p.: 142-147
Publisher:
IARIA
Issue Date:
2010
URI:
http://hdl.handle.net/10547/270642
Additional Links:
http://www.iaria.org/conferences2010/ADVCOMP10.html
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9781612081014
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorSotiriadis, Steliosen_GB
dc.contributor.authorBessis, Niken_GB
dc.contributor.authorSant, Paulen_GB
dc.contributor.authorMaple, Carstenen_GB
dc.date.accessioned2013-02-28T14:45:30Z-
dc.date.available2013-02-28T14:45:30Z-
dc.date.issued2010-
dc.identifier.citationSotiriadis,S., Bessis, N., Sant, P. and Maple, C. (2010) “From Grids to Clouds: A collective intelligence study for inter-cooperated infrastructures”, The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP-2010), IARIA, 25 – 30 October 2010, Florence, Italy, p.p.: 142-147en_GB
dc.identifier.isbn9781612081014-
dc.identifier.urihttp://hdl.handle.net/10547/270642-
dc.description.abstractRecently, more effort has been put into developing interoperable and distributed environments that offer users exceptional opportunities for utilizing resources over the internet. By utilising grids and clouds, resource consumers and providers, they gain significant benefits by either using or purchasing the computer processing capacities and the information provided by data centres. On the other hand, the collective intelligence paradigm is characterized as group based intelligence that emerges from the collaboration of many individuals, who in turn, define a coordinated knowledge model. It is envisaged that such a knowledge model could be of significant advantage if it is incorporated within the grid and cloud community. The dynamic load and access balancing of the grid and cloud data centres and the collective intelligence provides multiple opportunities, involving resource provisioning and development of scalable and heterogeneous applications. The contribution of this paper is that by utilizing grid and cloud resources, internal information stored within a public profile of each participant, resource providers as well as consumers, can lead to an effective mobilization of improved skills of members. We aim to unify the grid and cloud functionality as consumable computational power, for a) discussing the supreme advantages of such on-line resource utilization and provisioning models and b) analyzing the impact of the collective intelligence in the future trends of the aforementioned technologies.en_GB
dc.language.isoenen
dc.publisherIARIAen_GB
dc.relation.urlhttp://www.iaria.org/conferences2010/ADVCOMP10.htmlen_GB
dc.titleFrom grids to clouds: a collective intelligence study for inter-cooperated infrastructuresen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshire, UKen_GB
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