System management algorithms in private andpublic cloud infrastructures have to work with literally thousands of data streams generated from resource, applicationand event monitors. This cloud context opens two novel issuesthat we address in this paper: how to design a softwarearchitecture that is able to gather and analyze all informationwithin real-time constraints; how it is possible to reduce theanalysis of the huge collected data set to the investigationof a reduced set of relevant information. The application ofthe proposed architecture is based on the most advancedsoftware components, and is oriented to the classification of thestatistical behavior of servers and to the analysis of significantstate changes. These results guide model-driven managementsystems to investigate only relevant servers and to applysuitable decision models considering the determ

A software architecture for the analysis of large sets of data streams in cloud infrastructures / Andreolini, Mauro; Colajanni, Michele; Tosi, Stefania. - STAMPA. - (2011), pp. 389-394. (Intervento presentato al convegno 11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011 tenutosi a Pafos, cyp nel 2011-August) [10.1109/CIT.2011.62].

A software architecture for the analysis of large sets of data streams in cloud infrastructures

ANDREOLINI, Mauro;COLAJANNI, Michele;TOSI, STEFANIA
2011

Abstract

System management algorithms in private andpublic cloud infrastructures have to work with literally thousands of data streams generated from resource, applicationand event monitors. This cloud context opens two novel issuesthat we address in this paper: how to design a softwarearchitecture that is able to gather and analyze all informationwithin real-time constraints; how it is possible to reduce theanalysis of the huge collected data set to the investigationof a reduced set of relevant information. The application ofthe proposed architecture is based on the most advancedsoftware components, and is oriented to the classification of thestatistical behavior of servers and to the analysis of significantstate changes. These results guide model-driven managementsystems to investigate only relevant servers and to applysuitable decision models considering the determ
2011
11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011
Pafos, cyp
2011-August
389
394
Andreolini, Mauro; Colajanni, Michele; Tosi, Stefania
A software architecture for the analysis of large sets of data streams in cloud infrastructures / Andreolini, Mauro; Colajanni, Michele; Tosi, Stefania. - STAMPA. - (2011), pp. 389-394. (Intervento presentato al convegno 11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011 tenutosi a Pafos, cyp nel 2011-August) [10.1109/CIT.2011.62].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/769024
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