Time provisioning evaluation of KVM, Docker and Unikernels in a Cloud Platform
đź“ś Abstract
The use of cloud computing provides elasticity by dynamically leveraging the efficient use of allocated resources. To effectively achieve elasticity, resources on cloud platforms must be provisioned at a fast pace. In this work, we perform an evaluation of provisioning times of three virtualization technologies, Kernel-based Virtual Machine (KVM), Docker, and Unikernels, in terms of performance and efficiency on cloud platforms. Our results show significant differences among these technologies considering the infrastructure's performance requirements.
✨ Summary
This paper presents an evaluation of the time provisioning of three virtualization technologies—Kernel-based Virtual Machine (KVM), Docker, and Unikernels—within the context of cloud platforms. The research specifically focuses on how these technologies differ in terms of performance and efficiency when resources need to be provisioned rapidly for elasticity in cloud environments. Key findings highlight that each technology offers distinct advantages and trade-offs in terms of provisioning speed and resource utilization.
The paper adds to the field of cloud computing by providing empirical data on the comparative performance of these technologies, aiding in informed decision-making for infrastructure design and deployment in cloud-based systems.
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