Current data centers are shifting towards cloud-based architectures as a means to obtain a scalable, cost-effective, robust service platform. In spite of this, the underlying management infrastructure has grown in terms of hardware resources and software complexity, making automated resource monitoring a necessity.There are several infrastructure monitoring tools designed to scale to a very high number of physical nodes. However, these tools either collect performance measure at a low frequency (missing the chance to capture the dynamics of a short-term management task) or are simply not equipped with instrumentation specific to cloud computing and virtualization. In this scenario, monitoring the correctness and efficiency of live migrations can become a nightmare. This situation will only worsen in the future, with the increased service demand due to spreading of the user base.In this paper, we assess the scalability of a prototype monitoring subsystem for different user scenarios. We also identify all the major bottlenecks and give insight on how to remove them.

Assessing the overhead and scalability of system monitors for large data centers / Andreolini, Mauro; Colajanni, Michele; Lancellotti, Riccardo. - ELETTRONICO. - (2011), pp. 1-7. ((Intervento presentato al convegno 1st International Workshop on Cloud Computing Platforms, CloudCP 2011 tenutosi a Salzburg, AT nel 10/04/2011 [10.1145/1967422.1967425].

Assessing the overhead and scalability of system monitors for large data centers

ANDREOLINI, Mauro;COLAJANNI, Michele;LANCELLOTTI, Riccardo
2011

Abstract

Current data centers are shifting towards cloud-based architectures as a means to obtain a scalable, cost-effective, robust service platform. In spite of this, the underlying management infrastructure has grown in terms of hardware resources and software complexity, making automated resource monitoring a necessity.There are several infrastructure monitoring tools designed to scale to a very high number of physical nodes. However, these tools either collect performance measure at a low frequency (missing the chance to capture the dynamics of a short-term management task) or are simply not equipped with instrumentation specific to cloud computing and virtualization. In this scenario, monitoring the correctness and efficiency of live migrations can become a nightmare. This situation will only worsen in the future, with the increased service demand due to spreading of the user base.In this paper, we assess the scalability of a prototype monitoring subsystem for different user scenarios. We also identify all the major bottlenecks and give insight on how to remove them.
1st International Workshop on Cloud Computing Platforms, CloudCP 2011
Salzburg, AT
10/04/2011
1
7
Andreolini, Mauro; Colajanni, Michele; Lancellotti, Riccardo
Assessing the overhead and scalability of system monitors for large data centers / Andreolini, Mauro; Colajanni, Michele; Lancellotti, Riccardo. - ELETTRONICO. - (2011), pp. 1-7. ((Intervento presentato al convegno 1st International Workshop on Cloud Computing Platforms, CloudCP 2011 tenutosi a Salzburg, AT nel 10/04/2011 [10.1145/1967422.1967425].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/649250
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