Design of plug-in schedulers for a GridRPC environment

Eddy Caron 1, 2 Andreea Chis 3 Frédéric Desprez 1, 2 Alan Su 2, 4
2 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
3 ARES - Architectures of networks of services
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Grid middleware performance is typically determined by the resources that are chosen. Different classes of applications need different metrics to define a meaningful notion of performance. Such metrics include application workload, execution time estimation, disk or memory space availability, etc. In the past, few environments have allowed schedulers to be tuned for specific application scenarios. Within the DIET (Distributed Interactive Engineering Toolbox) project, we developed an API that allows the resource broker to be tuned for specific application classes. In a seamless way, generic or application-dependent performance measures can be used within the hierarchy of resource brokers.
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https://hal.inria.fr/hal-01428216
Contributor : Eddy Caron <>
Submitted on : Friday, January 6, 2017 - 12:45:48 PM
Last modification on : Saturday, October 27, 2018 - 1:30:37 AM

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Eddy Caron, Andreea Chis, Frédéric Desprez, Alan Su. Design of plug-in schedulers for a GridRPC environment. Future Generation Computer Systems, Elsevier, 2008, 24 (1), pp.46-57. ⟨10.1016/j.future.2007.02.005⟩. ⟨hal-01428216⟩

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