DocumentCode
2724591
Title
Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications
Author
Chu, Xingchen ; Nadiminti, Krishna ; Jin, Chao ; Venugopal, Srikumar ; Buyya, Rajkumar
Author_Institution
Univ. of Melbourne, Melbourne
fYear
2007
fDate
10-13 Dec. 2007
Firstpage
151
Lastpage
159
Abstract
In this paper, we present the design of Aneka, a .NET based service-oriented platform for desktop grid computing that provides: (i) a configurable service container hosting pluggable services for discovering, scheduling and balancing various types of workloads and (ii) a flexible and extensible framework/API supporting various programming models including threading, batch processing, MPI and dataflow. Users and developers can easily use different programming models and the services provided by the container to run their applications over desktop Grids managed by Aneka. We present the implementation of both the essential and advanced services within the platform. We evaluate the system with applications using the grid task and dataflow models on top of the infrastructure and conclude with some future directions of the current system.
Keywords
application program interfaces; batch processing (computers); data flow computing; electronic commerce; grid computing; message passing; natural sciences computing; network operating systems; resource allocation; .NET; API; MPI; batch processing; configurable service container; dataflow models; desktop grid computing; e-business; e-science; enterprise grid platform; pluggable services; programming models; service-oriented platform; threading; workload balancing; workload discovery; workload scheduling; Application software; Authentication; Containers; Data security; Grid computing; Object oriented modeling; Peer to peer computing; Personal communication networks; Processor scheduling; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Science and Grid Computing, IEEE International Conference on
Conference_Location
Bangalore
Print_ISBN
978-0-7695-3064-2
Type
conf
DOI
10.1109/E-SCIENCE.2007.12
Filename
4426883
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