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检索条件"主题词=scheduling algorithm"

共 10764 条记录，以下是151-160 订阅

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An Optimized Forward scheduling algorithm in A Software-defined Satellite Network 17

An Optimized Forward Scheduling Algorithm in A Software-defi...

引用

IEEE/ACIS 17th International Conference on Software Engineering Research, Management and Applications (SERA)

作者： Ling, Teng Liu, Lixiang Zheng, Changwen Liu, Shuaijun Zhou, Xi Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Inst Software Beijing Peoples R China China Acad Space Technol Beijing Peoples R China

ISBN: (纸本)9781728107981

With the increasing demand for space service transmission, the satellite network is showing great commercial value. It is significant for LEO satellite network with tens of thousands of satellites to manage and schedule these resources. In this manuscript, a software defined satellite network (SDSN) architecture named OpenSatNet is designed on the basis of decoupling the data forwarding plane and the control plane in SDN network. Further, we formulate a multi-objective optimization problem considering time intervals, bandwidth, and the hops of each path, which is sloved by the proposed optimized forward scheduling algorithm (OFSA). The experiments are carried by comparing the existed SDRA and DRA with OFSA in terms of the scheduled tasks, success rate of scheduled tasks and transmission delay. The results show the effectiveness of the proposed OFSA.

关键词： LEO satellite scheduling algorithm multi-objective optimization software-defined satellite network

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Optimization and scheduling algorithm for Data Intensive Workflows in Distributed Data Mining Architecture 17

Optimization and Scheduling Algorithm for Data Intensive Wor...

引用

IEEE EUROCON -17th International Conference on Smart Technologies

作者： Kakasevski, Gorgi Mishev, Anastas FON Univ Fac Informat Skopje North Macedonia Ss Cyril & Methodius Univ Fac Comp Sci & Engn Skopje North Macedonia

ISBN: (纸本)9781509038435

New Grid and cloud solutions for distributed data mining and data processing are needed for execution of data intensive workflows. In contrast of the standard workflows, in which data between the jobs are exchanged in the form of files and the jobs are finished when they process the input data, data intensive workflows receive data organized in blocks which are streamed on inputs, analyze the data and produce stream output. Each job is active for a long period of time and can receive new data. In our previous research works we proposed the Open Grid Service Architecture for Data Mining (OGSA-DM), which is capable of executing data intensive workflows. According to our analysis, the current algorithms for scheduling workflows can't be applied on data intensive workflows because they produce unsatisfactory results and can't guarantee optimal solution. In this paper we propose new optimization and scheduling algorithm which is developed on the advantages of data intensive workflows. In several experiments we've shown that our proposed algorithm works and gives satisfactory results.

关键词： Grid computing distributed data mining scheduling algorithm

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D-LQF: An Efficient Distributed scheduling algorithm for Input-Queued Switches

D-LQF: An Efficient Distributed Scheduling Algorithm for Inp...

引用

IEEE International Conference on Communications (ICC)

作者： He, Chunzhi Yeung, Kwan L. Univ Hong Kong Dept Elect & Elect Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781612842332

Iterative scheduling algorithms are attractive in finding a maximal size matching for an input-queued switch. For constructing a large high-speed switch, a distributed multi-chip implementation of an iterative scheduling algorithm should be followed. Since different chips may locate on different switch linecards and linecards can be separated by tens of meters, the propagation delay between chips/linecards is non-negligible. This calls for a pipelined implementation of a single-iteration scheduling algorithm. To this end, a new packet scheduling algorithm called Distributed Longest Queue First (D-LQF) is proposed in this paper. In D-LQF, exhaustive service policy is adopted for reusing the matched input-output pairs in the previous time slot. This helps to maximize the size of match in each time slot. To avoid incorrectly granting an empty VOQ the chance to send a packet, each output keeps track of the lengths of all VOQs destined to it. As compared with other single-iteration scheduling algorithms, simulation results show that our D-LQF provides the best delay-throughput performance.

关键词： Delay Impedance matching Optical switches scheduling scheduling algorithm Simulation Throughput

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DDS: A Deadline Driven Workflow scheduling algorithm for Hybrid Amazon Instances 9th

DDS: A Deadline Driven Workflow Scheduling Algorithm for Hyb...

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9th Asia-Pacific Services Computing Conference (APSCC)

作者： Ma, Zitai Cao, Jian Qian, Shiyou Shanghai Jiao Tong Univ Shanghai 200030 Peoples R China

ISBN: (纸本)9783319269795;9783319269788

Workflows can orchestrate multiple applications that need resources to execute. The cloud computing has emerged as an on-demand resource provisioning paradigm, which can support workflow execution. In recent years, Amazon offers a new service option, i.e., EC2 spot instances, whose price is on average more than 75 % lower than the one of on-demand instances. Therefore, we can make use of spot instances to execute workflows in a cost-efficient way. However, the spot instances is cut off when their price increases and exceeds the customer's bid, which will make the task failed and the execution time becomes unpredictable. We propose a deadline driven scheduling (DDS) algorithm which is able to use both on-demand and spot instances to reduce the cost while the deadline of workflows can also be guaranteed with a high probability. Especially, we use an attribute, called global weight, to represent the interdependency relations of tasks and schedule the tasks whose interdependent tasks need longer time first to reduce the whole execution time. The experimental results demonstrate that DDS algorithm is effective in reducing cost while satisfying the deadline constraints of workflows.

关键词： Workflow scheduling algorithm Spot instance Cloud computing

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Adaptive scheduling algorithm for Real-Time Operating System

Adaptive Scheduling Algorithm for Real-Time Operating System

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IEEE Congress on Evolutionary Computation

作者： Kotecha, Ketan Shah, Apurva G H Patel Coll Engg & Tech Vallabh Vidyanagar 388120 Gujarat India

ISBN: (纸本)9781424418220

EDF (Earliest Deadline First) has been proved to be optimal scheduling algorithm for single processor real-time operating systems when the systems are preemptive and underloaded. The limitation of this algorithm is, its performance decreases exponentially when system becomes slightly overloaded. Authors have already proved ability of ACO (Ant Colony Optimization) based scheduling algorithm for real-time operating system which is optimal during underloaded condition and it gives outstanding results in overloaded condition. The limitation of this algorithm is, it takes more time for execution compared to EDF algorithm. In this paper, an adaptive scheduling algorithm is proposed which is combination of both of these algorithms. Basically the new algorithm uses EDF algorithm but when the system becomes overloaded, it will switch to ACO based scheduling algorithm. Again, when the overload disappears, the system will switch to EDF algorithm. Therefore, the proposed algorithm takes the advantages of both algorithms and overcomes the limitations of each other. The proposed algorithm along with EDF algorithm and ACO based scheduling algorithm, is simulated for real-time system and the results are obtained. The performance is measured in terms of Success Ratio and Effective CPU Utilization. Execution Time taken by each scheduling algorithm is also measured. From analysis and experiments it reveals that the proposed algorithm is fast as well as very efficient in both underloaded and overloaded conditions.

关键词： Real-Time Operating Systems scheduling algorithm ACO algorithms EDF

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Toward Automatic scheduling algorithm with Hash-Based Priority Selection Strategy 8th

Toward Automatic Scheduling Algorithm with Hash-Based Priori...

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8th International Conference on Soft Computing for Problem Solving (SocProS)

作者： Ji, Xiaonan Ma, Kun Univ Jinan Shandong Prov Key Lab Network Based Intelligent C Jinan 250022 Peoples R China

ISBN: (纸本)9789811501845;9789811501838

Not only the organizations or groups but also the laboratory or the store is in demand of a system with automatic scheduling algorithm. Current automatic scheduling with computer is time consuming. With the goal to develop an innovative system which can increase the productivity, we finally design an advanced algorithm based on priority and hash map. It firstly provides a method called linear programming (LP) for the problem. Then, we interpret the similar backtracking approaches and compared with another two algorithms. We rebuild their process and design and propose a more efficient and simpler algorithm based on priority and hash. After the development of such a web system, it is proved to be a simple, efficient, and easy-implement method to solve the problem.

关键词： scheduling algorithm Duty table Priority selection strategy Duty management

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Collaborative scheduling algorithm for full quantity materials based on process and machine learning 24

Collaborative scheduling algorithm for full quantity materia...

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1st International Conference on Image Processing Machine Learning and Pattern Recognition

作者： Gu, Sanlin State Grid Gansu Power Supply Co Nanjing Peoples R China

ISBN: (纸本)9798400707032

Participants in the supply chain may have different information, leading to incomplete or inaccurate information when making decisions. To this end, a process and machine learning based collaborative scheduling algorithm for all materials is proposed. Design a health monitoring process for material supply chain based on R-tree dynamic indexing algorithm. Based on this, artificial neural networks in machine learning are applied to mine the data of the entire material supply chain. Through data mining, various data in the supply chain can be integrated and analyzed to improve information transparency and accuracy, and reduce information asymmetry. Adopting a dual layer scheduling model to achieve dual layer collaborative scheduling of materials. The experimental results show that the research method effectively improves the accuracy of data mining in the entire material supply chain, and the utilization rate of materials under this method is always higher than 95%.

关键词： Process design Artificial neural network Full quantity of materials scheduling algorithm

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A Delay Priority scheduling algorithm for Downlink Real-Time Traffic in LTE Networks

A Delay Priority Scheduling Algorithm for Downlink Real-Time...

引用

IEEE Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

作者： Li, Yuan-Ping Hu, Bin-Jie Zhu, Hui Wei, Zong-Heng Gao, Wei South China Univ Technol Guangzhou Sch Elect & Infonnat Engn Guangzhou Peoples R China

ISBN: (纸本)9781467391948

Long Term Evolution (LTE) is a main mobile communication technology in the future. For the reason that different kinds of multimedia applications have different quality of service (QoS) requirements, especially for Real Time (RT) traffics, it is necessary to design an effective scheduling algorithm to satisfy the various kinds of QoS needs. In this paper we propose a new scheduling algorithm named DP-VT-MLWDF. The simulation results of the proposed scheduler indicate an evident improvement of the QoS performance parameters for RT traffics, e.g., packet loss rate, average throughput, fairness index.

关键词： LTE QoS Real Time (RT) traffics scheduling algorithm

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A Packet scheduling algorithm for IEEE 802.22 WRAN Systems and Calculation Reduction Method Thereof

A Packet Scheduling Algorithm for IEEE 802.22 WRAN Systems a...

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5th International Conference on Intelligent Computing

作者： Lee, Young-du Yun, Tae-joon Koo, Insoo Univ Ulsan Sch Elect Engn Ulsan 680749 South Korea

ISBN: (纸本)9783642040191

In the paper, a scheduling algorithm based on the estimation of packet loss amount is proposed for supporting real-time traffic in IEEE 802.22 WRAN systems. The proposed scheduling algorithm takes two steps for resource allocation. In the first step, it assigns resource to users having packets that are estimated to be dropped at next frame. In the second step, it assigns the remaining resource to the other users according to one of the existing scheduling algorithms. The simulation results show that the proposed scheduling algorithm provides Much better performance than the PLFS and M-LWDF algorithm. In addition, a simple calculation method is proposed for the proposed scheme. With the simple method, we can reduce the number of checking packets in the queue as much as about a half time without any performance degradation in the case of video traffic.

关键词： IEEE 802.22 WRAN scheduling algorithm Packet loss amount Calculation reduction method

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Simulation Research on EDF scheduling algorithm of CAN Network Based on OPNET

Simulation Research on EDF Scheduling Algorithm of CAN Netwo...

引用

International Conference on Materials Science and Information Technology (MSIT 2011)

作者： Wu, Jiechang Hao, Jia Guo, Chaoyou Naval Univ Engn Dept Mech Engn Wuhan 430033 Peoples R China

ISBN: (纸本)9783037853191

In order to analyze and evaluate real-time performance of CAN network, the OPNET models of CAN network with Fixed Priority scheduling (FPS) and Earliest Deadline First (EDF) have been set up in this paper. Based on simulation experiments, the performances of average delay and transmission success ratio in the two models are analyzed and the experiments also indicate that under normal load condition the two scheduling algorithm both can send data frame successfully before the deadline. In a slight overload condition FPS algorithm makes the transmission delay of low priority data frame significantly increased, and even occurs the phenomenon that low priority data frame can not be sent at all times;while the EDF algorithm can make all the nodes to complete the data frames in less than 3ms transmission delay, it meets the delay requirements that are delay should less than 10ms in most control systems, it indicates that EDF algorithm has the better scheduling and availability in soft real-time system.

关键词： OPNET scheduling algorithm EDF FPS average delay transmission success ratio

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