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2014 IEEE 11th Intl Conf on Ubiquitous Intelligence & Computing and 2014 IEEE 11th Intl Conf on Autonomic & Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom) (2014)
Bali, Indonesia
Dec. 9, 2014 to Dec. 12, 2014
ISBN: 978-1-4799-7645-4
pp: 319-324
ABSTRACT
Task scheduling in Cyber-Physical System (CPS) is of vital importance to increase resource utilization and enhance system performance. Conventional task scheduling schemes in embedded real-time systems are unable to satisfy performance requirements of CPS due to its task diversity and system heterogeneity. In this paper, we consider two parts of task scheduling in CPS, scheduling at node network and scheduling at computing center. First, we propose a dynamic multi-priority scheduling scheme for task transmission in node network. A mixed pre-emptive and non-pre-emptive priority scheduling method is designed to reduce the average waiting time of tasks in each queue. A waiting-time threshold mechanism is added to ensure the fairness of different priority tasks. Second, we analyze the performance indicators of tasks at the computing center which is regarded as a multi-priority multi-server queueing model. We propose a comprehensive resource scheduling strategy to balance cost and system performance. Simulation results show that our proposed scheduling scheme has a better performance than traditional scheduling methods and our scheduling at computing center is more comprehensive than other extreme strategies.
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CITATION

C. Liu, L. Zhang and D. Zhang, "Task Scheduling in Cyber-Physical Systems," 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence & Computing and 2014 IEEE 11th Intl Conf on Autonomic & Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)(UIC-ATC-SCALCOM), Bali, Indonesia, 2014, pp. 319-324.
doi:10.1109/UIC-ATC-ScalCom.2014.97
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