Search Results - Task computing

Refine Results
  1. 1

    DDQ‐FKAN Assisted Dynamic Software Cache for Computing Task Offloading in Mobile Edge Computing by Li, Wei, Nan, Jiahao, Liu, Yazhi

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken, USA John Wiley & Sons, Inc 25.12.2025
    Published in Concurrency and computation (25.12.2025)
    “…In Mobile Edge Computing (MEC), task offloading and software caching face the challenges of high computational complexity and limited storage capacity…”
    Get full text
    Journal Article
  2. 2

    Vehicle Edge Computing Task Offloading Strategy Based on Multi-Agent Deep Reinforcement Learning: Vehicle Edge Computing Task Offloading Strategy Based by Bo, Jianxiong, Zhao, Xu

    ISSN: 1570-7873, 1572-9184
    Published: Dordrecht Springer Netherlands 01.06.2025
    Published in Journal of grid computing (01.06.2025)
    “… Due to spatial limitations within vehicles, high-performance computing equipment cannot be accommodated, resulting in limited vehicle resources being unable to meet the real-time and low-energy…”
    Get full text
    Journal Article
  3. 3

    Machine Learning-Based Offloading Strategy for Lightweight User Mobile Edge Computing Tasks by Zhou, Shuchen, Jadoon, Waqas, Shuja, Junaid

    ISSN: 1076-2787, 1099-0526
    Published: Hoboken Hindawi 2021
    Published in Complexity (New York, N.Y.) (2021)
    “…This paper presents an in-depth study and analysis of offloading strategies for lightweight user mobile edge computing tasks using a machine learning approach…”
    Get full text
    Journal Article
  4. 4

    Cache‐Assisted Offloading Optimization for Edge Computing Tasks by Liu, Hao, Zhen, Yan, Zheng, Libin, Huo, Chao, Zhang, Yu

    ISSN: 1751-8628, 1751-8636
    Published: Stevenage John Wiley & Sons, Inc 01.01.2025
    Published in IET communications (01.01.2025)
    “… However, most research on task offloading (TO) overlooks the scenario of repetitive requests for the same computing tasks during long time slots, and the spatiotemporal disparities in user demands…”
    Get full text
    Journal Article
  5. 5

    SeeMe: An intelligent edge server selection method for location‐aware business task computing over IIoT by Dou, Wanchun, Liu, Bowen, Duan, Jirun, Dai, Fei, Qi, Lianyong, Xu, Xiaolong

    ISSN: 0038-0644, 1097-024X
    Published: Bognor Regis Wiley Subscription Services, Inc 01.10.2024
    Published in Software, practice & experience (01.10.2024)
    “…In the past few years, latency‐sensitive task computing over the industrial internet of things (IIoT…”
    Get full text
    Journal Article
  6. 6

    Computing Tasks Saving Schemes Through Early Exit in Edge Intelligence-Assisted Systems by Niu, Xin, Lv, Xianwei, Chen, Wang, Yu, Chen, Jin, Hai

    ISSN: 0018-9340, 1557-9956
    Published: IEEE 01.05.2025
    Published in IEEE transactions on computers (01.05.2025)
    “… Moreover, a surge in computing tasks offloaded to edge servers significantly prolongs queuing latency…”
    Get full text
    Journal Article
  7. 7

    Research on computing task scheduling method for distributed heterogeneous parallel systems: Research on computing task scheduling method for distributed by Cao, Xianzhi, Chen, Chong, Li, Shiwei, Lv, Chang, Li, Jiali, Wang, Jian

    ISSN: 2045-2322
    Published: London Nature Publishing Group UK 15.03.2025
    Published in Scientific reports (15.03.2025)
    “… to realize green computing. This paper investigates the heterogeneous parallel task flow scheduling problem to minimize system energy consumption under response time constraints…”
    Get full text
    Journal Article
  8. 8

    A joint privacy protection algorithm for edge computing task offloading based on Dempster–Shafer evidence theory by Chen, Tian, Hao, Wanming, Yang, Wencong, Yang, Shouyi, Sun, Xuandi, Tang, Zhiqing

    ISSN: 1874-4907
    Published: Elsevier B.V 01.10.2025
    Published in Physical communication (01.10.2025)
    “…Edge computing reduces system latency by offloading tasks from cloud servers to Internet of Things (IoT) devices…”
    Get full text
    Journal Article
  9. 9

    Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing by Deng, Xiaoheng, Yin, Jian, Guan, Peiyuan, Xiong, Neal N., Zhang, Lan, Mumtaz, Shahid

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 15.02.2023
    Published in IEEE internet of things journal (15.02.2023)
    “… Intelligent IIoT technology usually involves a large number of intensive computing tasks. Resource-constrained IIoT devices often cannot meet the real-time requirements of these tasks…”
    Get full text
    Journal Article
  10. 10

    Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm by Chen, Shichao, Li, Qijie, Zhou, Mengchu, Abusorrah, Abdullah

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 24.01.2021
    Published in Sensors (Basel, Switzerland) (24.01.2021)
    “…In edge computing, edge devices can offload their overloaded computing tasks to an edge server…”
    Get full text
    Journal Article
  11. 11

    Edge computing task scheduling method based on user’s social relations: a construction and solution for Smart City Library by Teng, Yun, Liu, Zijia

    ISSN: 2376-5992, 2376-5992
    Published: United States PeerJ. Ltd 31.10.2024
    Published in PeerJ. Computer science (31.10.2024)
    “… The research suggests a novel task-scheduling model for edge computing, leveraging user’s social relationships…”
    Get full text
    Journal Article
  12. 12
  13. 13

    Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing by Liu, Lei, Feng, Jie, Mu, Xuanyu, Pei, Qingqi, Lan, Dapeng, Xiao, Ming

    ISSN: 1524-9050, 1558-0016, 1558-0016
    Published: New York IEEE 01.12.2023
    “… from numerous vehicular users remains haunting. Toward this end, we investigate collaborative task computing and on-demand resource allocation…”
    Get full text
    Journal Article
  14. 14

    Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling by Thinh Quang Dinh, Jianhua Tang, Quang Duy La, Quek, Tony Q. S.

    ISSN: 0090-6778, 1558-0857
    Published: New York IEEE 01.08.2017
    Published in IEEE transactions on communications (01.08.2017)
    “…) to multiple edge devices. We aim to minimize both total tasks' execution latency and the MD's energy consumption by jointly optimizing the task allocation decision and the MD's central process unit (CPU) frequency…”
    Get full text
    Journal Article
  15. 15

    The Construction of a Smart Education System in Colleges and Universities Based on Cloud-Side Collaborative Computing Task Scheduling Algorithm by Yu, Lingyun

    ISSN: 1687-725X, 1687-7268
    Published: New York Hindawi 10.02.2022
    Published in Journal of sensors (10.02.2022)
    “… combines cloud-side collaborative computing technology to improve the cloud computing task scheduling algorithm and uses the improved algorithm for task scheduling…”
    Get full text
    Journal Article
  16. 16

    Deep reinforcement learning‐based multitask hybrid computing offloading for multiaccess edge computing by Cai, Jun, Fu, Hongtian, Liu, Yan

    ISSN: 0884-8173, 1098-111X
    Published: New York John Wiley & Sons, Inc 01.09.2022
    “…By deploying computing units in edge servers, the device‐generated computation‐intensive tasks can be offloaded from the cloud, lessening the core network's traffic and reducing the tasks' completion latency…”
    Get full text
    Journal Article
  17. 17

    Research on Decomposition and Offloading Strategies for Complex Divisible Computing Tasks in Computing Power Networks by He, Ping, Cang, Jiayue, Qi, Huaying, Li, Hui

    ISSN: 2073-8994, 2073-8994
    Published: Basel MDPI AG 01.06.2024
    Published in Symmetry (Basel) (01.06.2024)
    “…With the continuous emergence of intelligent network applications and complex tasks for mobile terminals, the traditional single computing model often fails to meet the greater requirements…”
    Get full text
    Journal Article
  18. 18

    Edge Computing Task Offloading Optimization for a UAV-Assisted Internet of Vehicles via Deep Reinforcement Learning by Yan, Ming, Xiong, Rui, Wang, Yan, Li, Chunguo

    ISSN: 0018-9545, 1939-9359
    Published: New York IEEE 01.04.2024
    Published in IEEE transactions on vehicular technology (01.04.2024)
    “… A large volume of delay-sensitive and computationally demanding tasks necessitate offloading to UAVs or roadside units for processing…”
    Get full text
    Journal Article
  19. 19

    On the role of message broker middleware for many-task computing on a big-data platform by Nguyen, Cao Ngoc, Lee, Jaehwan, Hwang, Soonwook, Kim, Jik-Soo

    ISSN: 1386-7857, 1573-7543
    Published: New York Springer US 01.01.2019
    Published in Cluster computing (01.01.2019)
    “…We have designed and implemented a new data processing framework called “Many-task computing On HAdoop” (MOHA…”
    Get full text
    Journal Article
  20. 20

    Revenue and Energy Efficiency-Driven Delay-Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach by Huang, Xinyu, He, Lijun, Chen, Xing, Wang, Liejun, Li, Fan

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.06.2022
    Published in IEEE internet of things journal (01.06.2022)
    “…For in-vehicle application, task type and vehicle state information, i.e., vehicle speed, bear a significant impact on the task delay requirement…”
    Get full text
    Journal Article