Year: 2018
Type: conference-paper
Abstract: Cloud computing is a model for enabling on-demand network access to a shared pool of computing resources, that can be dynamically allocated and released with minimal effort. However, this task can be complex in highly dynamic environments with various resources to allocate for an increasing number of different users requirements. In this work, we propose a Cloud architecture based on a multi-agent system exhibiting a self-adaptive behavior to address the dynamic resource allocation. This self-adaptive system follows a MAPE-K approach to reason and act, according to QoS, Cloud service information, and propagated run-time information, to detect QoS degradation and make better resource allocation decisions. We validate our proposed Cloud architecture by simulation. Results show that it can properly allocate resources to reduce energy consumption, while satisfying the users demanded QoS.
Institutions: University of Eloued, Universidad Simón Bolívar, Institut Supérieur d'Électronique de Paris, Université de Pau et des Pays de l'Adour, Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour, Centre National de la Recherche Scientifique, Lamsade, Université Paris Dauphine-PSL, Université Larbi Tébessi, University of Biskra
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2883976111