Virtualizing a Batch Queuing System at a University Grid Center

Büge, Volker; Kemp, Y.; Kunze, M.; Oberst, O.; Quast, G.

doi:10.1007/11942634_42

Cited by 8 publications

(1 citation statement)

References 2 publications

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“…Motivation for a project of physicists in Karlsruhe [3], sharing cluster between groups of users with different requirements, is very alike to our first use. Although the initial motivation was the same, their approach is different; they developed standalone service, managing jobs and nodes of cluster.…”

Section: Related Workmentioning

confidence: 99%

Scheduling virtual grids

Ruda

Denemark

Matyska

2007

Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing

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Contemporary production grids do not usually offer the flexibility users are looking for. While different user communities have often contradictory requirements on the operating system, libraries, and applications, the production Grids provide only one rigid environment. This rigidness can be overcome by virtualization, when every user community or even individual user can be provided with its own instance of a virtual Grid, running optimized and tailored operating system and services. The promise of higher flexibility of virtual Grids is compensated by the increase in scheduling complexity. In this paper, we present the Magrathea system that extends the Grid resource management systems with support for virtual environment. After discussing the design requirements, we introduce the Magrathea architecture that consists of three components: the master and slave processes running on virtualized resources and the cache process to provide the information about virtual machine state to the scheduler. Two virtual machines sharing one physical resource and used exclusively, preemption of a lower priority job running in a virtual machine, support for more than two concurrently domains and support for "frozen" services that are repeatedly invoked and suspended are the use scenarios discussed in the second part of the paper. We demonstrate how they are supported by the Magrathea system and what modifications to the Grid resource management system are necessary. The Magrathea is currently in the pre-production use on the Czech national Grid environment METACenter.

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Section: Related Workmentioning

confidence: 99%

Scheduling virtual grids

Ruda

Denemark

Matyska

2007

Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing

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Information Service of Virtual Machine Pool for Grid Computing

Kunze

Wang

2008

Lecture Notes in Computer Science

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Provide Virtual Distributed Environments for Grid computing on demand

Wang

Laszewski

Kunze³

et al. 2010

Advances in Engineering Software

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Grid users always expect to meet some challenges to employ Grid resources, such as customized computing environment and QoS support. In this paper, we propose a new methodology for Grid computing -to use virtual machines as computing resources and provide Virtual Distributed Environments (VDE) for Grid users. It is declared that employing virtual environment for Grid computing can bring various advantages, for instance, computing environment customization, QoS guarantee and easy management. A light weight Grid middleware, Grid Virtualization Engine, is developed accordingly to provide functions of building virtual environment for Grids. We also present a typical use case, on-demand build a virtual e-Science infrastructure to justify the methodology.

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Virtualizing a Batch Queuing System at a University Grid Center

Cited by 8 publications

References 2 publications

Scheduling virtual grids

Scheduling virtual grids

Information Service of Virtual Machine Pool for Grid Computing

Provide Virtual Distributed Environments for Grid computing on demand

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