Journal of Grid Computing

, Volume 14, Issue 2, pp 283–297 | Cite as

IaaSMon: Monitoring Architecture for Public Cloud Computing Data Centers

  • Juan Gutierrez-Aguado
  • Jose M. Alcaraz Calero
  • Wladimiro Diaz Villanueva
Open Access
Article
  • 688 Downloads

Abstract

Monitoring of cloud computing infrastructures is an imperative necessity for cloud providers and administrators to analyze, optimize and discover what is happening in their own infrastructures. Current monitoring solutions do not fit well for this purpose mainly due to the incredible set of new requirements imposed by the particular requirements associated to cloud infrastructures. This paper describes in detail the main reasons why current monitoring solutions do not work well. Also, it provides an innovative monitoring architecture that enables the monitoring of the physical and virtual machines available within a cloud infrastructure in a non-invasive and transparent way making it suitable not only for private cloud computing but also for public cloud computing infrastructures. This architecture has been validated by means of a prototype integrating an existing enterprise-class monitoring solution, Nagios, with the control and data planes of OpenStack, a well-known stack for cloud infrastructures. As a result, our new monitoring architecture is able to extend the exiting Nagios functionalities to fit in the monitoring of cloud infrastructures. The proposed architecture has been designed, implemented and released as open source to the scientific community. The proposal has also been empirically validated in a production-level cloud computing infrastructure running a test bed with up to 128 VMs where overhead and responsiveness has been carefully analyzed.

Keywords

Cloud computing Monitoring Distributed monitoring Network management Infrastructure-as-a-service 

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Copyright information

© The Author(s) 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Juan Gutierrez-Aguado
    • 1
  • Jose M. Alcaraz Calero
    • 2
  • Wladimiro Diaz Villanueva
    • 1
  1. 1.Departament d’InformàticaUniversitat de ValènciaBurjassotSpain
  2. 2.School of Engineering and ComputingUniversity of the West of ScotlandPaisleyScotland

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