The paper deals with the scheduling of periodic information flow in a FieldBus environment. The scheduling problem is defined from an analytical point of view, giving a brief survey of the most well-known solutions. O...
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The paper deals with the scheduling of periodic information flow in a FieldBus environment. The scheduling problem is defined from an analytical point of view, giving a brief survey of the most well-known solutions. One of these is called multicycle polling scheduling, which is based on the hypothesis that all the production periods of the periodic processes to be scheduled are harmonic. Although in some process control or manufacturing scenarios, this hypothesis may be acceptable, there are many real industrial processes to which it cannot be applied. The aim of the paper is to make a contribution towards solving the scheduling problem. It essentially concerns extension of the theory on which multicycle polling scheduling is based to a much more realistic and general scenario, where the periods of all the processes to be scheduled have arbitrary values. The authors present a new formulation of multicycle polling scheduling, called extended multicycle polling scheduling, and demonstrate that it comprises the scenario currently considered in the literature. Two algorithmic solutions for extended multicycle polling scheduling are then proposed, giving a computational complexity analysis which will highlight the capability of the algorithmic scheduling solutions to be performed on-line. The paper concludes by comparing the multicycle polling scheduling approach known in literature and the one presented in the paper. Comparison is performed by evaluating the use of available bandwidth to serve both periodic and asynchronous traffic in the two approaches.
A great progress has been made in the past few years on remotely monitoring human health in real-time through the micro sensor. With the assurance of the reliability and security for the two-way data transmission betw...
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ISBN:
(纸本)9781908549006
A great progress has been made in the past few years on remotely monitoring human health in real-time through the micro sensor. With the assurance of the reliability and security for the two-way data transmission between the sensor and the data center, it is important to solve the problem of concurrent transmission for massive data. This paper presents an effective solution for highly concurrent transmission of massive physiological data by using the dynamic server IP address binding, resource utilization based priorityscheduling, NAS storage and RAC technology. The effectiveness of the proposed solution is demonstrated through an experimental application.
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