Cloud infrastructures must accommodate changing demands for different types of processing with heterogeneous workloads and time constraints. In a similar context, dynamic management of virtualized application environments is becoming very important to exploit computing resources, especially with recent virtualization capabilities that allow live sessions to be moved transparently between servers. This paper proposes novel management algorithms to decide about reallocations of virtual machines in a cloud context characterized by large numbers of hosts. The novel algorithms identify just the real critical instances and take decisions without recurring to typical thresholds. Moreover, they consider load trend behavior of the resources instead of instantaneous or average measures. Experimental results show that proposed algorithms are truly selective and robust even in variable contexts, thus reducing system instability and limit migrations when really necessary. © Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering 2010.

Dynamic load management of virtual machines in cloud architectures / Andreolini, M.; Casolari, S.; Colajanni, M.; Messori, M.. - 34:(2010), pp. 201-214. ((Intervento presentato al convegno 1st International Conference on Cloud Computing, CloudComp 2009 tenutosi a Munich, deu nel 2009 [10.1007/978-3-642-12636-9_14].

Dynamic load management of virtual machines in cloud architectures

Andreolini M.;Colajanni M.;
2010

Abstract

Cloud infrastructures must accommodate changing demands for different types of processing with heterogeneous workloads and time constraints. In a similar context, dynamic management of virtualized application environments is becoming very important to exploit computing resources, especially with recent virtualization capabilities that allow live sessions to be moved transparently between servers. This paper proposes novel management algorithms to decide about reallocations of virtual machines in a cloud context characterized by large numbers of hosts. The novel algorithms identify just the real critical instances and take decisions without recurring to typical thresholds. Moreover, they consider load trend behavior of the resources instead of instantaneous or average measures. Experimental results show that proposed algorithms are truly selective and robust even in variable contexts, thus reducing system instability and limit migrations when really necessary. © Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering 2010.
1st International Conference on Cloud Computing, CloudComp 2009
Munich, deu
2009
34
201
214
Andreolini, M.; Casolari, S.; Colajanni, M.; Messori, M.
Dynamic load management of virtual machines in cloud architectures / Andreolini, M.; Casolari, S.; Colajanni, M.; Messori, M.. - 34:(2010), pp. 201-214. ((Intervento presentato al convegno 1st International Conference on Cloud Computing, CloudComp 2009 tenutosi a Munich, deu nel 2009 [10.1007/978-3-642-12636-9_14].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1204954
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