Monitoring and Alerting of An OpenStack Cloud
Keywords:
Cloud, Cloud Computing, OpenStack, Monitoring, Monitoring-as-a-service, Nagios, RackspaceAbstract
Currently Cloud Computing is one of the most widely used technologies. Almost all the big players in IT industry deploy their own cloud. Once the cloud is deployed, it must be maintained over a period of time and the administrator must know about the incomings, outgoings and the status of the cloud at any given time. The above role of the administrator can be simplified by saying monitoring. Monitoring-as-a-service (MaaS) is one of many cloud delivery models under anything as a service (XaaS). It is a framework that facilitates the deployment of monitoring functionalities for various other services and applications within the cloud. The most common application for MaaS is online state monitoring, which continuously tracks certain states of applications, networks, systems, instances or any element that may be deployable within the cloud. Currently, monitoring in an OpenStack Cloud can be done using various tools like Nagios, Zenoss, Ceilometer, but all the tools have various loopholes. Strengths of the pre-existing tools i.e. of Nagios, Zenoss and Rackspace will be combined; gaps present in these tools will be filled in to develop a new plugin which serves as a better tool when it comes to monitoring the application.
References
- Cloud Computing: Concepts, Technology and Architecture by Thomas Erl.
- Openstack Monitoring (MonAAS) by Alexandre Viau and Thibault Cohen ("Savoir-faire Linux").
- Enhanced Monitoring-as-a-Service for Effective Cloud Management. IEEE Transactions on computers, VOL.62,NO.9, September 2013.
- L. Raschid, H.-F. Wen, A. Gal, and V. Zadorozhny, “Monitoring the performance of wide area applications using latency profiles,” in WWW’03.
- S. Meng, A. Iyengar, I. Rouvellou, L. Liu, K. Lee, B. Palanisamy, and Y. Tang, “Reliable state monitoring in cloud datacenters,” in IEEE Cloud, 2012.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT

This work is licensed under a Creative Commons Attribution 4.0 International License.