A Feedback Scheduling Algorithm Based on Resource Reservation

Author(s):  
Azhen Peng ◽  
Ruifeng Guo ◽  
Haotian Wu ◽  
Yi Hu
2014 ◽  
Vol 519-520 ◽  
pp. 108-113 ◽  
Author(s):  
Jun Chen ◽  
Bo Li ◽  
Er Fei Wang

This paper studies resource reservation mechanisms in the strict parallel computing grid,and proposed to support the parallel strict resource reservation request scheduling model and algorithms, FCFS and EASY backfill analysis of two important parallel scheduling algorithm, given four parallel scheduling algorithms supporting resource reservation. Simulation results of four algorithms of resource utilization, job bounded slowdown factor and the success rate of Advanced Reservation (AR) jobs were studied. The results show that the EASY backfill + firstfit algorithm can ensure QoS of AR jobs while taking into account the performance of good non-AR jobs.


2014 ◽  
Vol 631-632 ◽  
pp. 761-765
Author(s):  
Jing Cun Bi ◽  
Qi Li ◽  
Wei Jun Yang ◽  
Yan Fei Liu

As for the aperiodic tasks of node in network control systems, the FC-ABS (Feedback Controlled Adaptive Bandwidth Server) scheduling algorithm is designed. The different scheduling methods are used according to time characteristics of aperiodic tasks, and feedback scheduling is used to mitigate the effect of aperiodic tasks on periodic tasks. The simulation results show that the method is effective. Keyword: Network Control Systems; Server Scheduling; Feedback Scheduling; FC-ABS.


2014 ◽  
Vol 2014 ◽  
pp. 1-14
Author(s):  
Dezong Zhao ◽  
Qingqing Ding ◽  
Shangmin Zhang ◽  
Chunwen Li ◽  
Richard Stobart

This paper investigates the codesign of remote speed control and network scheduling for motion coordination of multiple induction motors through a shared communication network. An integrated feedback scheduling algorithm is designed to allocate the optimal sampling period and priority to each control loop to optimize the global performance of a networked control system (NCS), while satisfying the constraints of stability and schedulability. A speed synchronization method is incorporated into the scheduling algorithm to improve the speed synchronization performance of multiple induction motors. The rational gain of the network speed controllers is calculated using the Lyapunov theorem and tuned online by fuzzy logic to guarantee the robustness against complicated variations on the communication network. Furthermore, a state predictor is designed to compensate the time delay which occurred in data transmission from the sensor to the controller, as a part of the networked controller. Simulation results support the effectiveness of the proposed control-and-scheduling codesign approach.


2014 ◽  
Vol 687-691 ◽  
pp. 4890-4893
Author(s):  
Zhen Sheng Zhuang

Data of financial system traffic randomness large, the data is not fixed to a single channel by multiple users is difficult to form a unified task scheduling rules. In this paper, we put forward a multi-user flexible financial system task scheduling algorithm based on decision distance. The algorithm adopted decision distance can get the data of dynamic relation matrix, and use dynamic feedback scheduling method to control the matrix, in order to ensure the rationality of the task allocation and reduced the probability of task conflict in the system. The dynamic feedback scheduling decisions distance can analyze data from the use of case decisions using the resource nodes, get the dynamic relationship between data matrix, the matrix is ​​analyzed to extract maximum data connection group with no maximum data connections correlation data, which will be filtered with a smaller maximum data associated with the connection data.


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