An optimal energy-saving real-time task-scheduling algorithm for mobile terminals by Ziran Peng, Guojun Wang

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Energy scheduling algorithm for urban rail active traction power supply system by ZHANG Chao, LI Hongbo, ZHAO Liying, HUANG Zihao, LUO Wenguang, WANG Xiong

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Two-level cache based streaming media scheduling algorithm for mobile network by LIAO Jian-xin, YANG Bo, ZHU Xiao-min, WANG Chun

Subjects: “…mobile communication network;streaming media system;two-level cache;scheduling algorithm…”
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A Deadline-Constrained Scheduling Algorithm for Intensive-Instance Serviceflows in Cloud Environment by Wei Liu, Taoshen Li, Ruwei Huang

“…The problem that there are many intensive-instance serviceflows in business cloud computing environment was aimed to solved, so a new two-phase serviceflows scheduling algorithm was proposed. In the first phase, the global deadline to each instance was assigned, and then the deadline to the each task of instances was assigned. …”
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Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO by Yinhui YU, Heng ZHOU, Ying YANG, Hao PAN, Jiapeng REN

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Redundant Node Scheduling Algorithm for Wireless Sensor Networks Based on Topology Structure by Lijuan Shi, jun zheng

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A New Link Scheduling Algorithm for 60 GHz-WPAN Communication System by Wei Shi, Jingjing Wang, Hao Zhang, Yun Liu, Qiuna Niu, Chunlei Wu

“…The designed link schedule process includes common channel interference (CCI) probing scheme, link coexistence determination scheme, and link schedule algorithm. Extensive simulations are conducted in order to demonstrate the efficiency of proposed scheme. …”
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Edge computing smart grid resource scheduling algorithm based on reinforcement learning by Jinghang YU, Yichen ZHAO, Hu SONG

“…A smart grid is a power network capable of intelligent management and optimization.Network virtualization technology can effectively improve the resource utilization and reliability of smart grids and meet the differentiated needs of different users.In the case of limited resources, traditional virtual network embedding algorithms cannot dynamically adjust the allocation and mapping of virtual resources according to the resource usage and user needs of the power system.To solve this problem, edge computing and virtualization technology was combined and a virtual network resource scheduling algorithm based on reinforcement learning was introduced.The simulation results show that the proposed virtual resource scheduling algorithm is better than the other three scheduling algorithms in improving power grid reliability and resource utilization.…”
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Comparative Performance Evaluation of Scheduling Algorithms using 5G‑Air‑Simulator by Moaath Saleh Abdulrahman, Buthaina Mosa Omran

“…With the spread of new applications, efficient scheduling algorithms are mandatory to handle the allocation of the limited spectrum resources to various types of traffic and to guarantee the requirements of the quality of service and the quality of experience informed by users. …”
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Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation by Jin-zhong CHEN, Nian-min YAO, Shao-bin CAI, Mei-ling SUN

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Hurst and priority adaptive RED combined with dynamic scheduling algorithm based on AOS by Yu-xia BIE, Cheng-sheng PAN, Hai-yan LIU, Yan-chun WANG

“…In order to efficiently transmit different types of high-capacity and burst data,based on virtual channel multiplexing technology on advanced orbiting systems(AOS),a Hurst and priority adaptive random early detection(RED) combined with dynamic scheduling algorithm named HPRED-DS was proposed.In queue management state,the algorithm designed an adaptive two-level packet dropping strategy based on Hurst parameter and priority.In virtual channel scheduling state,a VIP,synchronous and asynchronous mixed virtual channels scheduling mode was designed.Meanwhile,the algorithm efficiently combined queue management and virtual channel scheduling.Experimental results show that on the basis of maintaining high treatment efficiency and throughput,the algorithm stabilizes queue length,reduces delay and delay jitter,can meet various services’transmitting requirement.…”
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Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO by Yinhui YU, Heng ZHOU, Ying YANG, Hao PAN, Jiapeng REN

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Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning by Zongxuan SHA, Ru HUO, Chuang SUN, Shuo WANG, Tao HUANG

“…The software defined network separates the control plane from the data plane to achieve flexible traffic scheduling, which can use network resources more efficiently.However, with the increase of the number of flow entries, load rate, the number of connected hosts, and other factors, the forwarding efficiency of the SDN switch will be reduced, which will affect the end-to-end transmission delay.To solve the above problems, the forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning was proposed.First, the switch state was integrated into the perception model, and the mapping relationship between switch state information and forwarding efficiency was established based on neural network.Then, combined with network state and traffic information, traffic scheduling policy was generated through deep reinforcement learning.Finally, the expert samples generated by the shortest path and load balance algorithms could guide the model training, which enabled the model to learn knowledge from expert samples to improve performance and accelerated the training process.The experimental results show that the proposed algorithm not only reduces the average end-to-end transmission delay by 15.31%, but also ensures the overall load balance of the network, compared with other algorithms.…”
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A Ｒeinforcement Learning of Cloud Ｒesource Scheduling Algorithm Based on Adaptive Weight by LI Cheng-yan, SUN Wei, TANG Li-min

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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

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A Gradient-Assisted Energy-Efficient Backpressure Scheduling Algorithm for Wireless Sensor Networks by Zhenzhen Jiao, Rui Tian, Baoxian Zhang, Cheng Li

“…For this purpose, we propose a gradient-assisted energy-efficient backpressure scheduling algorithm (GRAPE) for WSNs. GRAPE introduces a new link-weight calculation method, based on which gradient information and nodal residual energy are taken into account when making decisions on backpressure based transmission scheduling. …”
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Multi-duplication fault tolerant scheduling algorithm based on genetic algorithm in heterogeneous systems by Zhong-zheng HE, Chao-guang MEN, Yong-jun CHEN, Xiang LI

“…The fault-tolerant task scheduling mechanisms based on multi-duplication didn’t consider the scheduling makespan,the dependencies between tasks,the failures of the links and the longer scheduling makespan caused by the strict scheduling method in the heterogeneous distributed system.So the reliability calculation method that can involve the processor failures and the link failures was proposed firstly.Then the 0-1 integer linear program was proposed for the general scheduling problem.At last,the RAMD_TGS(reliability-aware multi-duplication task general scheduling) algorithm was proposed to solve the 0-1 integer linear program.The algorithm searched the mapped processor and the start execution time on the mapped processor for the task duplication by the evolution of the genetic algorithm.The experiments show that the RAMD_TGS algorithm can meet the reliability requirements and outperforms the existing scheduling algorithms based on the strict scheduling method in terms of scheduling makespan.The resource usages of the algorithm are also acceptable.…”
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A New Heuristic Metatask Scheduling Algorithm Based on Choosing QoS Policy Mechanism by Yong Hou, Xur Wo, Hong Zhao, Wei Zhao

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Mimic security scheduling algorithm for industrial control under limited heterogeneous resource constraints by Ruyun ZHANG, Heyuan LI, Shunbin LI

“…Cyberspace mimic defense technology is an effective method to deal with backdoor attacks on unknown vulnerabilities in information systems.Its security is closely related to the number and the heterogeneity of the executors and the scheduling strategy.However, in the field of industrial control, the ecological resources of industrial application are relatively closed, and the number of realizable heterogeneous executors is limited.To solve the above problems, a mimic scheduling algorithm for industrial control under the constraints of limited heterogeneous resources was proposed.The experimental results show that the proposed algorithm for triple-redundancy mimic industrial control system was able to select a suitable executor to go online according to environmental characteristics adaptively.Even in a high-intensity attack environment, it can still maintain a high availability probability of 99.24%.…”
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Improved ant colony algorithm based cloud computing user task scheduling algorithm by Sining LUO, Hualong WANG, Hongyu LI, Wei PENG

“…In recent years,with the development of power information,more and more power applications and tasks are deployed in the cloud.Because of the dynamic heterogeneity of cloud resources and power applications,it is a challenge in the cloud computing system to realize resource division and task scheduling.Power applications need to be able to achieve a rapid response and minimum completion time,and schedulers should consider the load of each cloud computing node to ensure the reliability of cloud computing.A task scheduling algorithm based on the algorithm of improving an ant colony was proposed to solve the problem of task scheduling in virtual machines.Through the improvement of the standard ant colony algorithm,the task scheduling time was reduced and load balancing was realized while minimizing the overall completion time.The results show that the algorithm can shorten the task scheduling time and realize the load balancing of cloud nodes,which provides technical basis for the optimization of power cloud computing.…”
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