Syed, Hassan Jamil and Gani, Abdullah and Nasaruddin, Fariza Hanum and Naveed, Anjum and Ahmed, Abdelmuttlib Ibrahim Abdalla and Khurram Khan, Muhammad (2018) CloudProcMon: A Non-Intrusive Cloud Monitoring Framework. IEEE Access, 6. pp. 44591-44606. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2018.2864573.
Full text not available from this repository.Abstract
Cloud computing has seen massive growth in this decade. With the rapid development of cloud networks, cloud monitoring has become essential for running cloud systems smoothly. Cloud monitoring collects monitoring metrics from the cloud's physical and virtual infrastructures. In terms of data collection, cloud monitoring can be intrusive or non-intrusive. Monitoring data collection non-intrusively from the host operating system (OS) is a challenging task. The aim of this paper was to collect monitoring data from the host OS non-intrusively and to link those data with the cloud controller for use in monitoring. Monitoring data were collected from Procfs of the host OS and that information was linked with the monitoring dashboard on the cloud controller node. The results show that the proposed solution is an efficient, lightweight, and scalable cloud monitoring framework that produces negligible overhead.
| Item Type: | Article |
|---|---|
| Funders: | Deanship of Scientific Research at King Saud University under Grant RG-1439-58 |
| Uncontrolled Keywords: | cloud infrastructure monitoring; Cloud monitoring; IAAS monitoring; Nagios; non-intrusive VM monitoring; OpenStack; VM monitoring |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 04 Mar 2019 08:02 |
| Last Modified: | 04 Mar 2019 08:02 |
| URI: | http://eprints.um.edu.my/id/eprint/20587 |
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