Abstract
In this paper, a cloud monitoring system based on an open-source was designed and implemented by subdividing it into CPU, memory, storage, and network parts. Linux and KVM operating systems were used to implement the designed system, and Zabbix and Grafana were used as open-source monitoring solutions. Also, an open source-based monitoring system was implemented to facilitate scalability, such as upgrading and adding monitoring functions, and a smooth and flexible monitoring system compared to commercial products provided by Cloud Service Provider. To review the cloud monitoring system designed whether it works. It was implemented on the cloud, and it was confirmed that CPU utilization, memory utilization, volume, and network resources are generally monitored in real-time.
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References
Kim G (2016) IaaS cloud monitoring system using message queuing = message queuing monitoring system for IaaS cloud publication. Hanyang University: Department of Computer and Software
BBelqasmi F, Singh J, Bani Melhem SY, Glitho RH (2012) SOAP-based vs. RESTful web services: a case study for multimedia conferencing. 2012 IEEE Internet Comput 16(4):54–63
Gazis V, Gortz M, Huber M, Leonardi A, Mathioudakis K, Wiesmaier A, Zeiger F, Vasilomanolakis E (2015) A survey of technologies for the internet of things. Wireless Commun Mobile Comput Conf (IWCMC)
Alkhawaja AR, Ferreira LL, Albano M (2012) Message oriented middleware with QoS Support for SmartGrids. Hurry-TR-120709
Katsaros G, Kubert R, Gallizo G (2011) Building a service-oriented monitoring framework with REST and nagios. In: 2011 IEEE international conference on service computing (SCC), pp 426–431
An KH, Pradhan S, Caglar F, Gokhale A (2012) A publish/subscribe middleware for dependable and real-time resource monitoring in the cloud. In: SDMCMM’12 Proceedings of the workshop on secure and dependable middleware for cloud monitoring and management
Corradi A, Foschini L, Povedano-Molina J, Lopez-Soler JM (2012) DDS-enabled Cloud management support for fast task offloading. In: 2012 IEEE symposium on computers and communication (ISCC), 1–4 July, pp 67–74
Monitoring: https://www.ncloud.com/product/management/monitoring
opennaru: https://www.opennaru.com/apm/open-source-monitoring-tool/
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Jo, E., Yoo, H. (2021). Implementation of Cloud Monitoring System Based on Open Source Monitoring Solution. In: Kim, H., Lee, R. (eds) Software Engineering in IoT, Big Data, Cloud and Mobile Computing. Studies in Computational Intelligence, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-64773-5_15
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DOI: https://doi.org/10.1007/978-3-030-64773-5_15
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