Predictive resource management for meta-applications

doi:10.1016/S0167-739X(99)00022-9

1999-10-01

DOI：10.1016/S0167-739X(99)00022-9

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摘要

En 中文

This paper defines meta-applications as large, related collections of computational tasks, designed to achieve a specific overall result, running on a (possibly geographically) distributed, non-dedicated mete-computing platform. To carry out such applications in an industrial context, one requires resource management and job scheduling facilities (including capacity planning), to ensure that the application is feasible using the available resources,that each component job will be sent to an appropriate resource, and that everything will finish before the computing resources are needed for other purposes. This requirement has been addressed by the PAC in three major European collaborative projects: PROMENVIR, TOOL-SHED and HPC-VAO, leading to the creation of job scheduling software, in which scheduling is brought together with performance modelling of applications and systems, to provide meta-applications management facilities. This software is described, focusing on the performance modelling approach which was needed to support it. Early results from this approach are discussed, raising some new issues in performance modelling and software deployment for meta-applications. An indication is given about ongoing work at the PAC designed to overcome current limitations and address these outstanding issues. (C) 1999 Published by Elsevier Science B.V. All rights reserved.

Keyword:

resource management

meta-application

performance modeling

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Future Generation Computer Systems-The International Journal of eScience

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