Skip to Main content Skip to Navigation
Conference papers

A Self-adaptive Agent-based System for Cloud Platforms

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download
Contributor : Philippe Roose Connect in order to contact the contributor
Submitted on : Monday, January 13, 2020 - 4:02:30 PM
Last modification on : Monday, February 14, 2022 - 11:32:04 AM
Long-term archiving on: : Tuesday, April 14, 2020 - 5:41:20 PM


Files produced by the author(s)



Philippe Roose, Merzoug Soltane, Yudith Cardinale, Rafael Angarita, Philippe Rosse, et al.. A Self-adaptive Agent-based System for Cloud Platforms. International Conference on Pattern Analysis and Intelligent Systems (PAIS), Oct 2018, Tebessa, Algeria. pp.1-8, ⟨10.1109/PAIS.2018.8598507⟩. ⟨hal-02437205⟩



Record views


Files downloads