TÓTH, Šimon and Dalibor KLUSÁČEK. Agent-based User Modeling in Job Scheduling Simulations. In Marian Bubak, Michal Turala, Kazimierz Wiatr. Cracow Grid Workshop. 1st ed. Polsko: ACC Cyfronet AGH, 2015, p. 99-100. ISBN 978-83-61433-14-9.
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Basic information
Original name Agent-based User Modeling in Job Scheduling Simulations
Authors TÓTH, Šimon (203 Czech Republic, guarantor, belonging to the institution) and Dalibor KLUSÁČEK (203 Czech Republic, belonging to the institution).
Edition 1. vyd. Polsko, Cracow Grid Workshop, p. 99-100, 2 pp. 2015.
Publisher ACC Cyfronet AGH
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Poland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/15:00081161
Organization unit Faculty of Informatics
ISBN 978-83-61433-14-9
Keywords in English Grid; Simulation; Job scheduling; Workload
Tags Alea, workload
Tags International impact, Reviewed
Changed by Changed by: RNDr. Šimon Tóth, učo 73027. Changed: 16/11/2015 00:32.
Abstract
In this paper we present an agent-based user model extension for the Alea simulator. This model is a necessary prerequisite for the support of dynamic workload adaptation. Also, even when used with static workload traces, it enables greater flexibility and control over how and what jobs are submitted into the queues of the simulated scheduler. With the inclusion of the agent-based user model into the Alea simulator, we were able to implement support for dynamic workload generation, which in conjunction with the agent model greatly improved realism of our simulations. We are now able to properly evaluate changes in users' workloads and test scheduling approaches that rely on the dynamic user behavior. Our future work will concentrate on formulating a complete evaluation methodology based on the agent-based model and dynamic workload generation.
Links
GAP202/12/0306, research and development projectName: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů (Acronym: Dyschnet)
Investor: Czech Science Foundation
MUNI/A/1159/2014, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.
Investor: Masaryk University, Category A
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