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On Implementation of a KVM IaaS with Monitoring System on Cloud Environments

  • Conference paper
Communication and Networking (FGCN 2011)

Abstract

Cloud computing has been a popular topic in recent years. How the system used in large-scale cloud computing to build large-scale distributed storage cluster and the provision of services become very popular and provoke animated discussion. It is an inevitable trend to either the enterprise or the individual. The cloud of network services can be divided into three categories: Software as a Service (SaaS), Platform as a Service (PaaS), and infrastructure as a service (IaaS). Among these, the Software as a Service (SaaS) allows users to run applications remotely from the cloud. Platform as a Service (PaaS) includes the operating system and custom application-specific software. And Infrastructure as a Service (IaaS) is the computing resources as a service, including some virtual machines, hardware resource units. This research paper is about how to build the KVM environment in the cloud system and operation, and using the KVM to provide a virtual environment for users. In the user interface part, the work is able to reduce the complexity of cloud resources access. We use the web interface which is easy to understand and accessible for users in the operations as well. About the experimental results, the performance of physical machine and KVM virtual machine are compared and analyzed.

* This work is supported in part by the National Science Council, Taiwan R.O.C., under grants no. NSC 100-2218-E-029-001 and NSC 100-2218-E-029-004.

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Yang, CT., Chen, BH., Chen, WS. (2011). On Implementation of a KVM IaaS with Monitoring System on Cloud Environments. In: Kim, Th., et al. Communication and Networking. FGCN 2011. Communications in Computer and Information Science, vol 265. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27192-2_36

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  • DOI: https://doi.org/10.1007/978-3-642-27192-2_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27191-5

  • Online ISBN: 978-3-642-27192-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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