Performance Evaluation of Scheduling Policies in a Smart Hospital Environment

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  2. Dr Nigel Thomas
  3. Professor Michael Harrison
Author(s)Chen X, Thomas N, Harrison M
Publication type Conference Proceedings (inc. Abstract)
Conference NameInternational Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC
Conference LocationBeijing, China
Year of Conference2011
Legacy Date10-12 October 2011
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In this paper we consider the performance of different scheduling policies in a smart environment. Models are generated under a hospital scenario, and are used to simulate patient flow under three scheduling policies. SimJava 2.0 is adopted as the main simulator in this work. The findings generally show that the dynamic scheduling policy has better performance than the static scheduling policy.
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