D 2015

Agent-based User Modeling in Job Scheduling Simulations

TÓTH, Šimon and Dalibor KLUSÁČEK

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

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

Tags

International impact, Reviewed
Changed: 16/11/2015 00:32, RNDr. Šimon Tóth

Abstract

V originále

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 project
Name: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů (Acronym: Dyschnet)
Investor: Czech Science Foundation
MUNI/A/1159/2014, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.
Investor: Masaryk University, Category A