An Intelligent Approach to Allocating Resources within an Agent-Based Cloud Computing Platform

The cloud computing paradigm has the ability to adapt to new technologies and provide consistent cloud services. These features have led to the widespread use of the paradigm, making it necessary for the underlying computer infrastructure to cope with the increased demand and the high number of end...

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Vydané v:	Applied Sciences Ročník 10; číslo 12; s. 4361
Hlavní autori:	De la Prieta, Fernando, Rodriguez-Gonzalez, Sara, Chamoso, Pablo, Demazeau, Yves, Corchado, Juan Manuel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2020 Multidisciplinary digital publishing institute (MDPI)
Edícia:	Multi-Agent Systems 2020
Predmet:	[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] Algorithms Artificial Intelligence Biology (General) case-based reasoning Chemistry Cloud computing Computer Science Consumption Distributed processing Engineering (General). Civil engineering (General) Infrastructure Innovations Multi-agent systems Multiagent Systems Physics QC1-999 QD1-999 QH301-705.5 Resource allocation Software T TA1-2040 Technology Technology application Utility computing Spain case-based reasoning multi-agent systems resource allocation cloud computing
ISSN:	2076-3417, 2076-3417
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Abstract	The cloud computing paradigm has the ability to adapt to new technologies and provide consistent cloud services. These features have led to the widespread use of the paradigm, making it necessary for the underlying computer infrastructure to cope with the increased demand and the high number of end users. Platforms often use classical mathematical models for this purpose, helping assign computational resources to the services provided to the final user. Although this kind of model is valid and widespread, it can be refined through intelligent techniques. Therefore, this research presents a novel system consisting of a multi-agent system, which integrates a case-based reasoning system. The resulting system dynamically allocates resources within a cloud computing platform. This approach, which is distributed and scalable, can learn from previous experiences and produce better results in each resource allocation. A model of the system has been implemented and tested on a real cloud platform with successful results.
AbstractList	The cloud computing paradigm has the ability to adapt to new technologies and provide consistent cloud services. These features have led to the widespread use of the paradigm, making it necessary for the underlying computer infrastructure to cope with the increased demand and the high number of end users. Platforms often use classical mathematical models for this purpose, helping assign computational resources to the services provided to the final user. Although this kind of model is valid and widespread, it can be refined through intelligent techniques. Therefore, this research presents a novel system consisting of a multi-agent system, which integrates a case-based reasoning system. The resulting system dynamically allocates resources within a cloud computing platform. This approach, which is distributed and scalable, can learn from previous experiences and produce better results in each resource allocation. A model of the system has been implemented and tested on a real cloud platform with successful results. Keywords: cloud computing; multi-agent systems; case-based reasoning; resource allocation The cloud computing paradigm has the ability to adapt to new technologies and provide consistent cloud services. These features have led to the widespread use of the paradigm, making it necessary for the underlying computer infrastructure to cope with the increased demand and the high number of end users. Platforms often use classical mathematical models for this purpose, helping assign computational resources to the services provided to the final user. Although this kind of model is valid and widespread, it can be refined through intelligent techniques. Therefore, this research presents a novel system consisting of a multi-agent system, which integrates a case-based reasoning system. The resulting system dynamically allocates resources within a cloud computing platform. This approach, which is distributed and scalable, can learn from previous experiences and produce better results in each resource allocation. A model of the system has been implemented and tested on a real cloud platform with successful results.
Audience	Academic
Author	Juan Manuel Corchado Pablo Chamoso Sara Rodríguez-González Yves Demazeau Fernando De la Prieta
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Cites_doi	10.1145/1165389.945462 10.1145/1353534.1346289 10.1109/ICAC.2008.31 10.1016/j.procs.2015.08.489 10.1109/ICBNMT.2011.6155973 10.1007/s12652-017-0534-0 10.1007/978-3-642-38073-0_4 10.1109/TWC.2016.2633522 10.1145/1899928.1899933 10.17485/ijst/2015/v8i9/50180 10.1007/s00354-008-0081-5 10.1109/ICYCS.2008.218 10.1109/ICCNT.2010.49 10.1109/CIT.2009.109 10.1109/CLOUD.2011.106 10.1007/s11227-009-0318-1 10.1109/FSKD.2012.6234218 10.1007/s13174-010-0007-6 10.1109/APSCC.2010.83 10.1017/S0269888900008122 10.21236/ADA620734 10.1016/j.future.2011.04.017 10.1147/sj.431.0005 10.1016/j.asoc.2016.05.056 10.1109/CCGRID.2009.97 10.1016/j.cor.2016.05.004 10.1109/ChinaGrid.2009.41 10.1109/ICICES.2014.7033931 10.1109/EUC.2008.127 10.3390/su8050485 10.1111/j.1467-8640.2008.00323.x 10.1007/978-3-642-19208-1_3 10.1109/DEST.2010.5610586 10.1002/int.10138 10.1145/1721654.1721672 10.1007/978-3-7091-7504-0_28
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Title	An Intelligent Approach to Allocating Resources within an Agent-Based Cloud Computing Platform
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