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A Service-oriented approach to enforce grid resource allocations
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
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2006 (English)In: International Journal of Cooperative Information Systems, ISSN 0218-8430, Vol. 15, no 3, 439-459 p.Article in journal (Refereed) Published
Abstract [en]

We present the SweGrid Accounting System (SGAS) — a decentralized and standards-based system for Grid resource allocation enforcement that has been developed with an emphasis on a uniform data model and easy integration into existing scheduling and workload management software.

The system has been tested at the six high-performance computing centers comprising the SweGrid computational resource, and addresses the need for soft, real-time quota enforcement across the SweGrid clusters.

The SGAS framework is based on state-of-the-art Web and Grid services technologies. The openness and ubiquity of Web services combined with the fine-grained resource control and cross-organizational security models of Grid services proved to be a perfect match for the SweGrid needs. Extensibility and customizability of policy implementations for the three different parties that the system serves (the user, the resource manager, and the allocation authority) are key design goals. Another goal is end-to-end security and single sign-on, to allow resources to reserve allocations and charge for resource usage on behalf of the user.

We conclude this paper by illustrating the policy customization capabilities of SGAS in a simulated setting, where job streams are shaped using different modes of allocation policy enforcement. Finally, we discuss some of the early experiences from the production system.

Place, publisher, year, edition, pages
Singapore: World Scientific Publishing , 2006. Vol. 15, no 3, 439-459 p.
Keyword [en]
OGSA, grid, accounting, HPC
National Category
Computer Science
Research subject
Computing Science
URN: urn:nbn:se:umu:diva-9618DOI: 10.1142/S0218843006001426OAI: diva2:149289
Available from: 2008-05-05 Created: 2008-05-05 Last updated: 2012-02-06
In thesis
1. Capacity allocation mechanisms for grid environments
Open this publication in new window or tab >>Capacity allocation mechanisms for grid environments
2006 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

During the past decade, Grid computing has gained popularity as a means to build powerful computing infrastructures by aggregating distributed computing capacity. Grid technology allows computing resources that belong to different organizations to be integrated into a single unified system image – a Grid. As such, Grid technology constitutes a key enabler of large-scale, crossorganizational sharing of computing resources. An important objective for the Virtual Organizations (VOs) that result from such sharing is to tame the distributed capacity of the Grid in order to manage it and make fair and efficient use of the pooled computing resources.

Most Grids to date have, however, been completely unregulated, essentially serving as a “source of free CPU cycles” for authorized Grid users. Whenever unrestricted access is admitted to a shared resource there is a risk of overexploitation and degradation of the common resource, a phenomenon often referred to as “the tragedy of the commons”. This thesis addresses this problem by presenting two complementary Grid capacity allocation systems that allow the aggregate computing capacity of a Grid to be divided between users in order to protect the Grid from overuse while delivering fair service that satisfies the individual computational needs of different user groups.

These two Grid capacity allocation mechanisms constitute the core contribution of this thesis. The first mechanism, the SweGrid Accounting System (SGAS), addresses the need for coordinated soft, real-time quota enforcement across Grid sites. The SGAS project was an early adopter of the serviceoriented principles that are now common practice in the Grid community, and the system has been tested in the Swegrid production environment. Furthermore, SGAS has been included in the Globus Toolkit, the de-facto standard Grid middleware toolkit. SGAS employs a credit-based allocation model where research projects are granted quota allowances that can be spent across the Grid resources, which charge users for their resource consumption. This enforcement of usage limits thus produces real-time overuse protection.

The second approach, employed by the Fair Share Grid (FSGrid) system, uses a share-based allocation model where project entitlements are expressed in terms of hierarchical share policies that logically divide the Grid capacity between user groups. By coordinating local job scheduling to maintain these global capacity shares, the Grid resources collectively strive to schedule users for a “share of the Grid”. We refer to this cooperative scheduling model as decentralized Grid-wide fairshare scheduling.

Place, publisher, year, edition, pages
Umeå: Datavetenskap, 2006. 34 p.
Report / UMINF, ISSN 0348-0542 ; 06.38
Grid computing, capacity allocation, allocation enforcement, accounting, Grid-wide fairshare scheduling, Web services
National Category
Computer Science
urn:nbn:se:umu:diva-927 (URN)91-7264-216-5 (ISBN)
Available from: 2006-11-14 Created: 2006-11-14 Last updated: 2012-05-14Bibliographically approved

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