The monitoring of the resources is one among the major challenges that the virtualization brings with it within the Cloud environments. In order to ensure scalability and dependability, the user’s applications are often distributed on several computational resources, such as Virtual Machines, storages and so on. For this reason, the customer is able to retrieve information about the Cloud infrastructure only by acquiring monitoring services provided by the same vendor that is offering the Cloud resources, thus being forced to trust the Cloud provider about the detected performance indexes. In this work we present a complete architecture that covers all the monitoring activities that take place within a Cloud application lifecycle: we also propose an agent-based implementation of a particular module of the designed architecture that ensures high customization of the monitoring facility and more tolerance to network and resource failures.

An Agent-Based Platform for Cloud Applications Performance Monitoring

AVERSA, Rocco;TASQUIER, Luca
2015

Abstract

The monitoring of the resources is one among the major challenges that the virtualization brings with it within the Cloud environments. In order to ensure scalability and dependability, the user’s applications are often distributed on several computational resources, such as Virtual Machines, storages and so on. For this reason, the customer is able to retrieve information about the Cloud infrastructure only by acquiring monitoring services provided by the same vendor that is offering the Cloud resources, thus being forced to trust the Cloud provider about the detected performance indexes. In this work we present a complete architecture that covers all the monitoring activities that take place within a Cloud application lifecycle: we also propose an agent-based implementation of a particular module of the designed architecture that ensures high customization of the monitoring facility and more tolerance to network and resource failures.
2015
9781479988709
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/351416
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