Cloud infrastructures must accommodate changing demandsfor 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 algorithmsare truly selective and robust even in variable contexts, thus reducing system instability and limit migrations when really necessary.

Dynamic load management of virtual machines in a cloud architecture / Andreolini, Mauro; Casolari, Sara; Colajanni, Michele; Messori, Michele. - STAMPA. - (2009), pp. 100-114. ((Intervento presentato al convegno CLOUDCOMP 2009 tenutosi a Monaco di Baviera nel 19/10/2009.

Dynamic load management of virtual machines in a cloud architecture

ANDREOLINI, Mauro;CASOLARI, Sara;COLAJANNI, Michele;MESSORI, MICHELE
2009

Abstract

Cloud infrastructures must accommodate changing demandsfor 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 algorithmsare truly selective and robust even in variable contexts, thus reducing system instability and limit migrations when really necessary.
CLOUDCOMP 2009
Monaco di Baviera
19/10/2009
100
114
Andreolini, Mauro; Casolari, Sara; Colajanni, Michele; Messori, Michele
Dynamic load management of virtual machines in a cloud architecture / Andreolini, Mauro; Casolari, Sara; Colajanni, Michele; Messori, Michele. - STAMPA. - (2009), pp. 100-114. ((Intervento presentato al convegno CLOUDCOMP 2009 tenutosi a Monaco di Baviera nel 19/10/2009.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/647547
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