Please use this identifier to cite or link to this item:
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 |
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 |
Published in: | 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: | 1558-4305MIAR |
Appears in Collections: | Articles |


Files in This Item:
There are no files associated with this item.
[Comment]
[Mark]
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.