Simplified deployment of virtual machines using an intelligent design engine

James Oakes, Mark Johnson, James Xue, Scott J Turner

Research output: Contribution to Book/ReportChapterpeer-review


With the advent of cloud computing and the virtualisation of computer systems, challenges exist in managing resources and Virtual Machines (VMs) effectively. Cloud computing platform services offer scalable and resilient platforms, but are still not without complexity to the end user community; this paper proposes an alternative solution for the deployment of an intelligent private or public cloud compute platform, built around a set of predefined rule based parameters with the purpose of providing a simplified process for provisioning VMs. The proposed solution incorporates an architecture and design, utilising existing utilities, tools and protocols; it provides example output from the experiment conducted to prove the overall process and concept are feasible for implementation in terms of presenting a simplified deployment mechanism. By using an Intelligent Decision Engine (IDE), it enables strict adherence to a set of standard build parameters based around expert system administration knowledge, which uniquely supports a one-click VM deployment procedure. Subsequent control and management of the system environment and VMs then continue to be managed through use of the IDE and its expert knowledge base.
Original languageEnglish
Title of host publicationProceedings of Science and Information (SAI) Computing Conference 2016
Place of PublicationLondon
ISBN (Print)9781467384605
Publication statusPublished - 1 Sep 2016


  • Automation
  • artificial intelligence
  • cloud computing
  • virtualisation


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