A4 Refereed article in a conference publication
Hierarchical Agent-based Architecture for Resource Management in Cloud Data Centers
Authors: Farahnakian F, Pahikkala T, Liljeberg P, Plosila J
Editors: Kesselman, C.
Conference name: IEEE International Conference on Cloud Computing
Publication year: 2014
Journal: IEEE International Conference on Cloud Computing
Book title : 2014 IEEE 7th International Conference on Cloud Computing
Journal name in source: 2014 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD)
Journal acronym: IEEE INT CONF CLOUD
First page : 928
Last page: 929
Number of pages: 2
eISBN: 978-1-4799-5063-8
ISSN: 2159-6182
DOI: https://doi.org/10.1109/CLOUD.2014.128
Abstract
In order to resource management in a large-scale data center, we present a hierarchical agent-based architecture. In this architecture, multi agents cooperate together to minimize the number of active physical machines according to the current resource requirements. We proposed a local agent in each physical machine (PM) to determine the PM's status and a global agent to optimizes VM placement based on PM's status. Experimental results show the proposed architecture can minimize energy consumption while maintaining an acceptable QoS.
In order to resource management in a large-scale data center, we present a hierarchical agent-based architecture. In this architecture, multi agents cooperate together to minimize the number of active physical machines according to the current resource requirements. We proposed a local agent in each physical machine (PM) to determine the PM's status and a global agent to optimizes VM placement based on PM's status. Experimental results show the proposed architecture can minimize energy consumption while maintaining an acceptable QoS.
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