Nzanzu, Vingi Patrick and Adetiba, E. and Badejo, J. A. and Molo, Mbasa Joaquim and Akanle, M.B. and Mughole, Kalimumbalo Daniella and Akande, Victor and Oshin, Oluwadamilola and Oguntosin, V. and Takenga, Claude and Mbaya, Maissa and Diongue, Dame and Adebiyi, E. F. (2022) FEDARGOS-V1: A Monitoring Architecture for Federated Cloud Computing Infrastructures. IEEE Access, 10. pp. 133557-133573.
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Abstract
Resource management in cloud infrastructure is one of the key elements of quality of services provided by the cloud service providers. Resource management has its taxonomy, which includes discovery of resources, selection of resources, allocation of resources, pricing of resources, disaster management, and monitoring of resources. Speci�cally, monitoring provides the means of knowing the status and availability of the physical resources and services within the cloud infrastructure. This results in making ``monitoring of resources'' one of the key aspects of the cloud resource management taxonomy. However, managing the resources in a secure and scalable manner is not easy, particularly when considering a federated cloud environment.Afederated cloud is used and shared by many multi-cloud tenants and at various cloud software stack levels. As a result, there is a need to reconcile all the tenants' diverse monitoring requirements. To cover all aspects relating to the monitoring of resources in a federated cloud environment, we present the FEDerated Architecture for Resource manaGement and mOnitoring in cloudS Version 1.0 (FEDARGOS-V1), a cloud resource monitoring architecture for federated cloud infrastructures. The architecture focuses mainly on the ability to access information while monitoring services for early identi�cation of resource constraints within short time intervals in federated cloud platforms. The monitoring architecture was deployed in a real-time OpenStack-based FEDerated GENomic (FEDGEN) cloud testbed. We present experimental results in order to evaluate our design and compare it both qualitatively and quantitatively to a number of existing Cloud monitoring systems that are similar to ours. The architecture provided here can be deployed in private or public federated cloud infrastructures for faster and more scalable resource monitoring.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | FEDARGOS, federated cloud computing, monitoring, OpenStack |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | nwokealisi |
| Date Deposited: | 19 Jan 2023 13:20 |
| Last Modified: | 19 Jan 2023 13:20 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/16537 |
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