Title :
The Cloud@Home Resource Management System
Author :
Distefano, Salvatore ; Fazio, Maria ; Puliafito, Antonio
Author_Institution :
Dept. of Math., Univ. of Messina, Messina, Italy
Abstract :
Cloud is strongly emerging in the ICT world as the distributed computing paradigm able to raise the level of abstraction of physical resources toward a "user-centric" perspective. In this challenging scenario, we propose a new form of computing mixing Cloud and volunteer paradigms\´ aims and goals into Cloud@Home. In particular, this work focuses on the Cloud@Home resource management issues. In order to deal with the dynamics of the overall infrastructure, where resources asynchronously join and leave the system, we propose a solution based on autonomic and self-adapting algorithms, structuring all the available resources into a hierarchical cluster. In this paper, we first specify the architecture of the Cloud@Home resource management system and then we detail the algorithms and the mechanisms that allow to elastically manage the hierarchical cluster-based infrastructure.
Keywords :
cloud computing; resource allocation; Cloud @Home resource management; ICT world; autonomic algorithm; cloud computing; hierarchical cluster based infrastructure; self-adapting algorithm; user centric perspective; volunteer computing paradigm; volunteer paradigm; Cloud computing; Dynamic scheduling; Engines; Monitoring; Resource management; Security; Cloud computing; Volunteer computing; adaptation and reconfiguration; hierarchical clustering; resource management;
Conference_Titel :
Utility and Cloud Computing (UCC), 2011 Fourth IEEE International Conference on
Conference_Location :
Victoria, NSW
Print_ISBN :
978-1-4577-2116-8
DOI :
10.1109/UCC.2011.26