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.
References
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)
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)
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)
Barbosa de Carvalho, M., Zambenedetti Granville, L.: Incorporating Virtualization Awareness in Service Monitoring Systems. In: IFIP/IEEE International Symposium on Integrated Network Management (2011)
Aparecida de Chaves, S., Brundo Uriarte, R., Becker Westphall, C.: Toward an architecture for monitoring private clouds. IEEE Commun. Mag. 49, 130–137 (2009)
Dhingra, M., Lakshmi, J., Nandy, S.K.: Resource Usage Monitoring in Clouds. In: De ACM/IEEE 13th International Conference on Grid Computing (2012)
Katsaros, G., Kubert, R., Gallizo, G.: Building a Service-Oriented Monitoring framework with REST and Nagios. In: IEEE International Conference on Services Computing (2011)
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)
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)
Koenig, B., Alcaraz Calero, J.M., Kirchnick, J.: Elastic monitoring framework for cloud infrastructures. IET Commun. 6, 1306–1315 (2011)
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)
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)
Milojicic, D., Llorente, I.M., Opennebula, R.S.M.: A cloud management tool. IEEE Internet Comput. 15(2), 11–14 (2011)
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)
Petcu, D.: Consuming resources and services from multiple clouds: From terminology to cloudware support. J. Grid Comput. 12, 321–345 (2014)
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)
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)
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)
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Gutierrez-Aguado, J., Alcaraz Calero, J.M. & Diaz Villanueva, W. IaaSMon: Monitoring Architecture for Public Cloud Computing Data Centers. J Grid Computing 14, 283–297 (2016). https://doi.org/10.1007/s10723-015-9357-4
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DOI: https://doi.org/10.1007/s10723-015-9357-4
Keywords
- Cloud computing
- Monitoring
- Distributed monitoring
- Network management
- Infrastructure-as-a-service