基于模糊任务调度的分布式实时系统处理器最优利用率和动态负载均衡可行面

P. Singh, D. Sharma
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引用次数: 0

摘要

大多数研究实时分布式调度的学者都假设约束是精确的。然而,在许多情况下,这些参数的值是无法区分的。参数的模糊性建议我们使用模糊逻辑来决定请求的执行顺序,以更好地利用系统。在本研究中,我们采用模糊动态负载均衡方法。利用模糊推理系统,得到了最优利用率和负载均衡分布式实时系统的输出可行面。分析了不同模糊隶属函数对优化利用率和负载平衡曲面的影响。
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Feasible Surfaces of Optimal Utilization and Dynamic Load Balancing of Processors with a Fuzzy Tasks Scheduler for Distributed Real Times System
Most researchers concerning real time distributed scheduling assumes constraints to be accurate. However, in many situations the values of these parameters are indistinguishable. The indistinctness of parameters suggests that we make use of fuzzy logics to decide in what order the requests should be executed to make better utilization of systems. In this research, we are taking a fuzzy dynamic load balancing approach. We get the output feasible surfaces of the optimal utilization and load balanced distributed real time systems with the use of fuzzy inferences systems. We analysed the effects of different fuzzy membership functions on the optimal utilization and load balanced surfaces.
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