IaaSMon: Monitoring Architecture for Public Cloud Computing Data Centers
- 1k Downloads
- 5 Citations
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-serviceReferences
- 1.Aceto, G., Botta, A., de Donato, W., Pescap, A.: Cloud monitoring A survey. Comput. Netw.: Int. J. Comput. Telecommun. Netw. 57(9), 2093–2115 (2011)CrossRefGoogle Scholar
- 2.Brandt, J., Gentile, A., Mayo, J., Pebay, P., Roe, D., Thompson, D., Wong, M.: Resource Monitoring and Management with OVIS to Enable HPC. In: Cloud Computing Environments IEEE International Symposium on Parallel & Distributed Processing, Rome (2009)Google Scholar
- 3.Cuomo, A., Modica, G.D., Distefano, S., Puliafito, A., Rak, M., Tomarchio, O., Venticinque, S., Villano, U.: An SLA-based broker for cloud infrastructures. J. Grid Comput. 11, 1–25 (2013)CrossRefGoogle Scholar
- 4.Barbosa de Carvalho, M., Zambenedetti Granville, L.: Incorporating Virtualization Awareness in Service Monitoring Systems. In: IFIP/IEEE International Symposium on Integrated Network Management (2011)Google Scholar
- 5.Aparecida de Chaves, S., Brundo Uriarte, R., Becker Westphall, C.: Toward an architecture for monitoring private clouds. IEEE Commun. Mag. 49, 130–137 (2009)CrossRefGoogle Scholar
- 6.Dhingra, M., Lakshmi, J., Nandy, S.K.: Resource Usage Monitoring in Clouds. In: De ACM/IEEE 13th International Conference on Grid Computing (2012)Google Scholar
- 7.Katsaros, G., Kubert, R., Gallizo, G.: Building a Service-Oriented Monitoring framework with REST and Nagios. In: IEEE International Conference on Services Computing (2011)Google Scholar
- 8.Kertesz, A., Kecskemeti, G., Marosi, A., Oriol, M., Franch, X., Marco, J.: Integrated Monitoring Approach for Seamless Service Provisioning in Federated Clouds. In: 20th Euromicro International Conference on Parallel, Distributed and Network-based Processing, Munich, Germany (2012)Google Scholar
- 9.Ketesz, A., Kecskemeti, G., Oriol, M., Kotcauer, P., Acs, S., Rodrguez, M., Merc, O., Marosi, A.C., Marco, J., Franch, X.: Enhancing federated cloud management with an integrated service monitoring approach. J. Grid Comput. 11, 699–720 (2013)CrossRefGoogle Scholar
- 10.Koenig, B., Alcaraz Calero, J.M., Kirchnick, J.: Elastic monitoring framework for cloud infrastructures. IET Commun. 6, 1306–1315 (2011)CrossRefGoogle Scholar
- 11.Lorido-Botran, T., Miguel-Alonso, J., Lozano, J.A.: A review of auto-scaling techniques for elastic applications in cloud environments. J. Grid Comput. 12, 559–592 (2015)CrossRefGoogle Scholar
- 12.Massonet, P., Naqvi, S., Ponsard, C., Latanicki, J., Rochwerger, B., Villari, M.: A Monitoring and Audit Logging Architecture for Data Location Compliance in Federated Cloud Infrastructures. In: IEEE International Parallel & Distributed Processing Symposium, Anchorage, Alaska (2011)Google Scholar
- 13.Milojicic, D., Llorente, I.M., Opennebula, R.S.M.: A cloud management tool. IEEE Internet Comput. 15(2), 11–14 (2011)CrossRefGoogle Scholar
- 14.Moses, J., Iyer, R., Illikkal, R., Srinivasan, S., Aisopos, K.: Shared Resource Monitoring and Throughput Optimization in Cloud-Computing Datacenters. In: IEEE International Parallel & Distributed Processing Symposium, Anchorage, Alaska (2011)Google Scholar
- 15.Petcu, D.: Consuming resources and services from multiple clouds: From terminology to cloudware support. J. Grid Comput. 12, 321–345 (2014)CrossRefGoogle Scholar
- 16.Povedano-Molina, J., Lopez-Vega, J.M., Lopez-Soler, J.M., Corradi, A., Dargos, L.F.: A highly adaptable and scalable monitoring architecture for multi-tenant clouds. Futur. Gener. Comput. Syst. 29(8), 2041–2056 (2013)CrossRefGoogle Scholar
- 17.Romano, L., De Mari, D., Jerzak, Z., Fetzer, C.: A Novel Approach To QoS Monitoring In The Cloud. In: First International Conference on Data Compression, Communications and Processing, Palinuro, Italy (2011)Google Scholar
- 18.Wuhib, F., Stadler, R.: Distributed Monitoring and Resource Management for Large Cloud Environments. In: IFIP/IEEE International Symposium on Integrated Network Management, Dublin, Ireland (2011)Google Scholar
Copyright information
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.