DocumentCode
1639594
Title
A Distributed Economic Meta-scheduler for the Grid
Author
Chard, Kyle ; Bubendorfer, Kris
Author_Institution
Sch. of Math., Stat. & Comput. Sci., Victoria Univ. of Wellington, Wellington
fYear
2008
Firstpage
542
Lastpage
547
Abstract
In this paper we present DRIVE, a novel architecture for a virtual organization (VO) based distributed economic meta-scheduler in which members of the VO collaboratively allocate grid resources. Resource providers joining the VO contribute obligation services to the VO. These contributed services are in effect membership ´dues´ and are used in the running of the VO´s operations - allocation, advertising, management, etc. We use an auction plug-in mechanism to support arbitrary auction protocols which allows users to choose a protocol based on specific requirements and infrastructural availability. For instance, within a single organization, where internal trust exists, users can achieve maximum allocation performance by choosing a conventional sealed bid auction plug-in. In a global utility Grid no such trust exists. The same meta-scheduler architecture can be used with a more expensive secure auction protocol plug- in which ensures the allocation is carried out fairly in the absence of trust The DRIVE prototype has been implemented as a collection of standard WSRF Web services and includes a distributed implementation of a secure combinatorial Garbled Circuit protocol.
Keywords
grid computing; groupware; resource allocation; scheduling; DRIVE prototype; arbitrary auction protocol; auction plug-in mechanism; distributed economic meta-scheduler; grid resource allocation; virtual organization; Advertising; Availability; Circuits; Collaboration; Drives; Protocols; Prototypes; Resource management; Service oriented architecture; Web services; economic; grid; meta-scheduler; resource allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing and the Grid, 2008. CCGRID '08. 8th IEEE International Symposium on
Conference_Location
Lyon
Print_ISBN
978-0-7695-3156-4
Electronic_ISBN
978-0-7695-3156-4
Type
conf
DOI
10.1109/CCGRID.2008.48
Filename
4534260
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