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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Bibliographic Details
Published in:Applied Sciences Vol. 10; no. 12; p. 4361
Main Authors: De la Prieta, Fernando, Rodriguez-Gonzalez, Sara, Chamoso, Pablo, Demazeau, Yves, Corchado, Juan Manuel
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.06.2020
Multidisciplinary digital publishing institute (MDPI)
Series:Multi-Agent Systems 2020
Subjects:
[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
Online Access:Get full text
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Summary: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.
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ISSN:2076-3417
2076-3417
DOI:10.3390/app10124361