Search Results - Scheduling Algorithm Visualization

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  1. 1

    IOT based visualization of weightage based static task scheduling algorithm in datacenter by M, Preethi, Jayavel, Kayalvizhi

    ISSN: 2227-524X, 2227-524X
    Published: 19.03.2018
    “… This paper aims to propose a scheduling algorithm which allocates static tasks to the resources effectively without making any tasks starve for the resources for long time…”
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    Journal Article
  2. 2

    The Impact of Machine Learning (ML) Driven Algorithm Ranking and Visualization on Task Scheduling in Cloud Computing by Chhabra, Manish, Arora, Gagandeep

    Published: IEEE 23.11.2023
    “… We provide a new machine learning (ML) approach to evaluate and rank task scheduling algorithms based on their features…”
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    Conference Proceeding
  3. 3

    Research on the Deployment Strategy of Big Data Visualization Platform by the Internet of Things Technology by Zhang, Guangtao

    ISSN: 2032-9407, 2032-9407
    Published: Ghent European Alliance for Innovation (EAI) 01.01.2023
    “…INTRODUCTION: To improve the big data visualization platform's performance and task scheduling capability, a big data visualization platform is constructed based on Field Programmable Gate Array (FPGA…”
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    Journal Article
  4. 4

    Optimized Spatiotemporal Data Scheduling Based on Maximum Flow for Multilevel Visualization Tasks by Zhu, Qing, Chen, Meite, Feng, Bin, Zhou, Yan, Li, Maosu, Xu, Zhaowen, Ding, Yulin, Liu, Mingwei, Wang, Wei, Xie, Xiao

    ISSN: 2220-9964, 2220-9964
    Published: Basel MDPI AG 01.09.2020
    “…Massive spatiotemporal data scheduling in a cloud environment play a significant role in real-time visualization…”
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    Journal Article
  5. 5

    A java based visual tool to learn CPU scheduling algorithms by Jain, Neetu, Suresh, P. V.

    ISBN: 9380544103, 9789380544106
    Published: Bharati Vidyapeeth University 01.03.2014
    “…CPU scheduling algorithms are integral part of learning operating system. Over the years, it has been experienced that initially CS students face a lot of problems in understanding and further implementing the various scheduling algorithms…”
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    Conference Proceeding
  6. 6

    Force-directed algorithms for schematic drawings and placement: A survey by Cheong, Se-Hang, Si, Yain-Whar

    ISSN: 1473-8716, 1473-8724
    Published: London, England SAGE Publications 01.01.2020
    Published in Information visualization (01.01.2020)
    “… network visualisation, sensor networks, routing algorithms, scheduling, and graph drawing…”
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    Journal Article
  7. 7

    VH-DSI: Speeding up Data Visualization via a Heterogeneous Distributed Storage Infrastructure by Yongqing Zhu, Juniarto, Samsudin, Haixiang Shi, Jun Wang

    ISSN: 1521-9097
    Published: IEEE 01.12.2015
    “… A new scheduling algorithm HeterSche is proposed in VH-DSI to assign computing tasks to data nodes with the consideration…”
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    Conference Proceeding Journal Article
  8. 8

    Tax-Scheduler: An interactive visualization system for staff shifting and scheduling at tax authorities by Yuan, Linping, Li, Boyu, Li, Siqi, Wong, Kam Kwai, Zhang, Rong, Qu, Huamin

    ISSN: 2468-502X, 2468-502X
    Published: Elsevier B.V 01.06.2023
    Published in Visual informatics (Online) (01.06.2023)
    “… their requirements of shifting and scheduling into time series prediction and resource scheduling problems. Then, we propose Tax-Scheduler, an interactive visualization system…”
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    Journal Article
  9. 9

    UA V Swarm Scheduling Based on Weighted Multi-Objective Particle Swarm Algorithm by Luo, Guilan, Cao, Anqi, Wang, Shuailin, Zhu, Yuanbo

    Published: IEEE 01.11.2022
    “…In order to solve the problem of low node allocation efficiency of UAV swarms in forest fire disaster relief scenarios, a weighted multi-objective particle swarm UAV swarm scheduling algorithm…”
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    Conference Proceeding
  10. 10

    A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling by Yin, Jian, Sun, Bo, Fan, Yunsheng, Shen, Liran, Shi, Zhan

    ISSN: 2077-1312, 2077-1312
    Published: Basel MDPI AG 01.05.2025
    Published in Journal of marine science and engineering (01.05.2025)
    “…–physical synergy in current carrier-based aircraft scheduling simulations, this study proposes an immersive digital twin platform that integrates a two-layer genetic algorithm (GA…”
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    Journal Article
  11. 11

    AgNeSA: Agility-driven Non-Terrestrial Networks using Small Airborne Swarm by Kumari, Ranju, Choi, Baek-Young, Song, Sejun

    ISSN: 2770-7679
    Published: IEEE 13.11.2023
    Published in IEEE 5G World Forum (Online) (13.11.2023)
    “…In the context of future Non-Terrestrial Networks (NTN) missions, the feasibility of employing compact airborne and space-borne swarms as efficient solutions…”
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    Conference Proceeding
  12. 12

    Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay Tracing by Navrátil, Paul A., Childs, Hank, Fussell, Donald S., Lin, Calvin

    ISSN: 1077-2626, 1941-0506
    Published: United States IEEE 01.06.2014
    “…This paper extends and evaluates a family of dynamic ray scheduling algorithms that can be performed in-situ on large distributed memory parallel computers…”
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    Journal Article
  13. 13

    Improvement the scheduling based on the reducing of the dimensionality of the system by Dobrosotskikh, M G, Mishchenko, V Ya, Preobrazhenskii, M A

    ISSN: 1757-8981, 1757-899X, 1757-899X
    Published: Bristol IOP Publishing 11.03.2019
    “…In this paper a full set of system parameters "building site + resources" has been determined. Methods of discrete description of the closed system dynamics…”
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    Journal Article
  14. 14

    SDMSim: A manufacturing service supply–demand matching simulator under cloud environment by Tao, Fei, Cheng, Jiangfeng, Cheng, Ying, Gu, Shixin, Zheng, Tianyu, Yang, Hao

    ISSN: 0736-5845, 1879-2537
    Published: Oxford Elsevier Ltd 01.06.2017
    “…Nowadays, with the introduction and application of new information technologies in manufacturing, various advanced manufacturing modes and national strategies…”
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    Journal Article
  15. 15

    Efficient Management and Scheduling of Massive Remote Sensing Image Datasets by Zhu, Jiankun, Zhang, Zhen, Zhao, Fei, Su, Haoran, Gu, Zhengnan, Wang, Leilei

    ISSN: 2220-9964, 2220-9964
    Published: Basel MDPI AG 13.05.2023
    “…) are designed to comprehensively optimize the remote sensing image scheduling process from image retrieval, transmission and visualization perspectives…”
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    Journal Article
  16. 16

    Visualizing Large-Scale Building Information Modeling Models within Indoor and Outdoor Environments Using a Semantics-Based Method by Chen, Qingxiang, Chen, Jing, Huang, Wumeng

    ISSN: 2220-9964, 2220-9964
    Published: Basel MDPI AG 01.11.2021
    “…). This approach neglected special BIM semantics (e.g., transparent windows), which may miss a part of geographic features or buildings and cause unreasonable visualization…”
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    Journal Article
  17. 17

    Force-Directed Algorithms for Graph Visualization by Cheong, Se Hang

    ISBN: 9798834028628
    Published: ProQuest Dissertations & Theses 01.01.2021
    “…, routing algorithms, scheduling, graph drawing, etc. Each of these applications relates to information visualization broadly…”
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    Dissertation
  18. 18

    A rapid method for validation and visualization of agile Earth-observation satellites scheduling by Yin, Mingwei, Li, Jingyang, Wang, Xianyu, Baoyin, Hexi

    ISSN: 2522-008X, 2522-0098
    Published: Singapore Springer Nature Singapore 01.12.2018
    Published in Astrodynamics (01.12.2018)
    “…This paper describes a rapid method for validation and visualization of agile Earth-observation satellites scheduling…”
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    Journal Article
  19. 19
  20. 20

    Visual Sensor Network Task Scheduling Algorithm at Automated Container Terminal by Mi, Chao, Chen, Jian, Zhang, Zhiwei, Huang, Shifeng, Postolache, Octavian

    ISSN: 1530-437X, 1558-1748
    Published: New York IEEE 15.03.2022
    Published in IEEE sensors journal (15.03.2022)
    “… Thus, a visual sensor network terminal task scheduling algorithm based on Deep-Q Learning is considered…”
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    Journal Article