An Intelligent Approach to Allocating Resources within an Agent-Based Cloud Computing Platform
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Cloud Computing and Resource Management · Cloud Data Security Solutions · Blockchain Technology Applications and Security
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
BISITE Research Group, University of Salamanca, 37007 Salamanca, Spain
Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
Centre National de la Recherche Scientifique, Laboratoire d’Informatique de Grenoble, Bâtiment IMAG-700 avenue Centrale, Domaine Universitaire—CS 40700, F-38058 Grenoble, France
Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
Pusat Komputeran dan Informatik, Universiti Malaysia Kelantan, Karung Berkunci 36, Pengkaan Chepa, Kota Bharu 16100, Kelantan, Malaysia
Funding
Ministerio de Ciencia y Tecnología
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