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Performance Evaluation of Scheduling Policies in a Smart Hospital Environment

Lookup NU author(s): Dr Nigel Thomas, Professor Michael HarrisonORCiD


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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.

Publication metadata

Author(s): Chen X, Thomas N, Harrison M

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC

Year of Conference: 2011

Pages: 585-592

Publisher: IEEE


DOI: 10.1109/CyberC.2011.99

Library holdings: Search Newcastle University Library for this item

ISBN: 9781457718274