When the network resource information is scheduled with the current algorithm, the execution time of the resource scheduling task cannot be improved. The utilization of network resources is reduced in the case of the ...
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When the network resource information is scheduled with the current algorithm, the execution time of the resource scheduling task cannot be improved. The utilization of network resources is reduced in the case of the heavy scheduling task. To address this problem, a network resource information scheduling based on non-convex function optimization algorithm is proposed in this paper. The network resource is modeled as a non-convex function. The execution interval of task is divided into subspaces of multiple units. Task density is introduced into network resource scheduling model. In this model, computing resources and storage resources of the network are considered. Ant colony particle swarm optimization algorithm is used for scheduling with the built network resource scheduling model. The initial solution is obtained by initial search with the particle swarm algorithm. Then the initial solution is transformed into the initial pheromone distribution of the ant colony. The resource information is searched by using ant colony algorithm until the optimal solution is found, so as to achieve network resource information scheduling. Experimental results show that the proposed algorithm can reduce the execution time of task and improve the utilization rate of network resource information.
A networked control method for multi-inverter parallel system is proposed in this paper. Current-sharing control strategy and communication design are described. TOD (Try-Once-Discarded) scheduling mode is used to rea...
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ISBN:
(纸本)9781424452262
A networked control method for multi-inverter parallel system is proposed in this paper. Current-sharing control strategy and communication design are described. TOD (Try-Once-Discarded) scheduling mode is used to realize the real-time and accurate transmission, and the joint scheduling algorithm of TOD is implemented to predict the networked control system performance with network time-delay. The time-delay bound to keep system stable is quantified and buffer area is used to adjust the time-delay value. Mathematical model is built with theory of both wireless multi-inverter parallel and TOD. The maximum induced time-delay represented by MALI (Maximum Allowable Transfer Interval) is estimated. The experimental results demonstrate the validity of using jointscheduling analysis method for inverter parallel operation system.
Dynamic bandwidth allocation (DBA) is one of the key issues for the current (1G) and next-generation (10G) Ethernet-based passive optical network (EPON) systems. We present a novel bandwidth scheduling scheme that int...
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Dynamic bandwidth allocation (DBA) is one of the key issues for the current (1G) and next-generation (10G) Ethernet-based passive optical network (EPON) systems. We present a novel bandwidth scheduling scheme that integrates specific scheduling implementations in the optical line terminal and optical network units. This scheduling enables multiservice access with scalable quality of service support for the triple-play (video, voice, and data) services and open access. Our simulation results show that the proposed schedulingalgorithm performs very well in supporting service differentiation and fair allocation of bandwidth to different service providers. A performance comparison between 1G and 10G systems is also presented. To the best of our knowledge, no detailed study of DBA in a 10G EPON can be found in the literature so far.
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