An Integration of Global and Enterprise Grid Computing: Gridbus Broker and Xgrid Perspective

Assunção, Marcos Dias de; Nadiminti, Krishna; Venugopal, Srikumar; Ma, Tianchi; Buyya, Rajkumar

doi:10.1007/11590354_50

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A Pa Rtial Taxonomy Of Grid Systems1

Desktop Grids and Volunteer Computing1

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2006

2011

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Cited by 8 publications

(2 citation statements)

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“…In [24] the writers suggest that "Grids can be classified in two ways, according to their architecture and coverage. Considering their coverage we can define two main categories: global grids and enterprise grids."…”

Section: A Pa Rtial Taxonomy Of Grid Systemsmentioning

confidence: 99%

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Enhancing reliability with Latin Square redundancy on desktop grids.

Johnson¹

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Section: A Pa Rtial Taxonomy Of Grid Systemsmentioning

confidence: 99%

“…Gridbus [24] is an open source grid software toolkit that was developed by the University of Melbourne GRIDS Lab and others. Major desktop operating system vendors also have offered Grid software including Xgrid from Apple and A1chemi [61], written for the Microsoft Windows operating system.…”

Section: Desktop Grids and Volunteer Computingmentioning

confidence: 99%

Enhancing reliability with Latin Square redundancy on desktop grids.

Johnson¹

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Distributed and dynamic self‐scheduling of parallel MPI Grid applications

Nascimento

Sena

Boeres

et al. 2006

Concurrency and Computation

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SUMMARYThe execution of distributed applications on the Grid is already a reality. However, as both the number of applications grow and Grids increase in scale, the efficient utilization of the available but shared heterogeneous resources will become increasingly essential to the Grid's successful maturity. Furthermore, it is unclear whether existing Grid management systems are capable of meeting this challenge. The EasyGrid middleware is a hierarchically distributed application management system (AMS) that is embedded into MPI applications to autonomously orchestrate their execution efficiently in computational Grids. The overhead of employing a distinct AMS to make each application system aware brings at least two benefits. First, the adopted policies can be tailored to the specific needs of each application, leading to improved performance. Second, distributing the management effort among executing applications makes Grid management more scalable. This article focuses on scheduling policies of an AMS for a particular class of application, describing a low intrusion implementation of a hybrid scheduling strategy designed to elicit good performance even in dynamic environments such as Grids. Using application-specific scheduling policies, near-optimal runtimes highlight the advantages of self-scheduling when executing one or more system aware applications on a Grid.

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