The deployment and the execution of applications on dynamic Cloud infrastructures introduces new requirements of adaptability with respect to monitoring. Specifically, the governance of service choreographies enacted over Cloud-based solutions relies on the observation and analysis of events happening at different abstraction layers. Adaptability requirements are even more evident when monitoring deals with Service Level Agreements (SLA) established among the choreography participants. In fact, as the Cloud paradigm offers on-demand solutions as a service, often monitoring rules cannot be completely defined off-line. Thus also the monitoring infrastructure must keep track of the continuous evolution of the underlying environment, and adapt itself accordingly. The software realize an architecture that can synthesize on-the-fly SLA monitoring rules following the evolution of the Cloud infrastructure.

Choreos MultiSource Monitoring Framework

Calabro' A.;De Angelis G.
2013

Abstract

The deployment and the execution of applications on dynamic Cloud infrastructures introduces new requirements of adaptability with respect to monitoring. Specifically, the governance of service choreographies enacted over Cloud-based solutions relies on the observation and analysis of events happening at different abstraction layers. Adaptability requirements are even more evident when monitoring deals with Service Level Agreements (SLA) established among the choreography participants. In fact, as the Cloud paradigm offers on-demand solutions as a service, often monitoring rules cannot be completely defined off-line. Thus also the monitoring infrastructure must keep track of the continuous evolution of the underlying environment, and adapt itself accordingly. The software realize an architecture that can synthesize on-the-fly SLA monitoring rules following the evolution of the Cloud infrastructure.
2013
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Multi-source monitoring
SLA agreement
Rules generation
Complex event processing
Choreographies
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/387592
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