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http://hdl.handle.net/10609/91514
Title: A simheuristic approach for resource allocation in volunteer computing
Author: Panadero Martínez, Javier  
Calvet Liñan, Laura  
Marquès Puig, Joan Manuel
Juan Pérez, Ángel Alejandro
Others: Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Keywords: stochastic processes
optimisation
volunteer computing
resource allocation
Issue Date: Dec-2017
Publisher: Winter Simulation Conference (WSC). Proceedings
Citation: Panadero, J., Calvet, L., Marques, J. & Juan, A. (2017). A Simheuristic Approach for Resource Allocation in Volunteer Computing. Winter Simulation Conference (WSC). Proceedings, 2017(), 1479-1490. doi: 10.1109/WSC.2017.8247890
Series/Report no.: Winter Simulation Conference, Las Vegas, EUA, 03-06, desembre de 2017
Project identifier: info:eu-repo/grantAgreement/TRA2013-48180-C3-P
info:eu-repo/grantAgreement/TRA2015-71883-REDT
info:eu-repo/grantAgreement/20161ES01KA108023465
Also see: https://www.informs-sim.org/wsc17papers/includes/files/116.pdf
https://ieeexplore.ieee.org/document/8247890
Abstract: The number of projects relying on volunteer computing and their complexity are growing fast. This distributed paradigm enables the gathering of idle resources (processing power and storage) to run large systems by providing scalable, practical and low cost platforms. The heterogeneity of the resources and their unreliable behavior call for advanced optimization methods. In particular, an efficient resource allocation is key for the systems¿ performance. This work presents a mathematical formulation and a solving approach based on a metaheuristic for the resource allocation problem. This approach is designed to deal with data-intensive applications, which must guarantee the availability of the data at all times. Moreover, a simheuristic is proposed to deal with the stochasticity of resources¿ quality. A set of computational experiments are performed to: (1) compare the performance of the metaheuristic and the simheuristic in a stochastic environment; and (2) quantify the effect of the stochasticity on the solutions.
Language: English
URI: http://hdl.handle.net/10609/91514
ISBN: 9781538634288
ISSN: 1558-4305
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