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Dynamic and elastic monitoring of VMs in cloud environment

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Abstract

Virtualization of computer systems has made it possible to deliver infrastructure as a service, deploying multiple virtual machines (VMs) on a single physical server to share available resources such as CPU, memory and cache, I/O. However, virtual machines (VMs) in the cloud can have varying workloads over time, which can lead to performance degradation and wasted idle resources. In view of the importance of this challenge, many research works have focused on their solutions to control and monitor these virtual machines in a dynamic, permanent and elastic manner. In this context, this article introduces the VMs-Monitor component, a software solution that acts as an extension of the OpenNebula open source cloud platform. Such a component must make it possible to monitor the consumption of VM-CPU and VM-Memory resources of running virtual machines and to plan instantiation actions (allocation, suspension, resumption) according to the different metrics and by retrieving information about the resources available on the hosts. The model evaluation showed performance gains as the results indicated that the host provides the CPU and memory capacity to the VMs based on the continuous allocation and suspension of the VMs, which has was balanced during the experiment.

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Authors and Affiliations

  1. SGRE Laboratory, Department of Computer Science, University of Tahri Mohammed, Bechar, Algeria

    Younes Khair, Abdeslem Dennai & Youssef Elmir

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  1. Younes Khair
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  2. Abdeslem Dennai
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  3. Youssef Elmir
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Correspondence to Younes Khair.

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Khair, Y., Dennai, A. & Elmir, Y. Dynamic and elastic monitoring of VMs in cloud environment. J Supercomput 78, 19114–19137 (2022). https://doi.org/10.1007/s11227-022-04624-y

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  • DOI: https://doi.org/10.1007/s11227-022-04624-y

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