Rezultaty 1 - 20 Rezultaty od 29 Dla wyszukiwania '"scheduling (computing)"', Czas wyszukiwania: 0,10s Redukuj rezultaty
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    Evolution and industry trend of 5G key technologies od Jing CHONG, Xiaoyong TANG, Lei ZHU, Na LI, Jue ZHANG, Zhengpeng YOU, Peike XU, Jia LIU

    Wydane 2022-05-01
    Hasła przedmiotowe: “…5G-Advanced;multi-buffer scheduling;computing force network…”
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    Task scheduling in parallel processor systems / od 443850 Syarifah Zyurina Nordin

    Wydane 2011
    Hasła przedmiotowe: “…Parallel scheduling (Computer scheduling)…”
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    Efficient task scheduling and computational offloading optimization with federated learning and blockchain in mobile cloud computing od Matheen Fathima G, Shakkeera L

    Wydane 2025-03-01
    Hasła przedmiotowe: “…Optimization task scheduling computational offloading (OTSCO) and microservices…”
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    Bidirectional Collaborative Optimization Scheduling of Adjustable Resources in Computing Node and Power Node od ZHOU Qianyufan, YANG Ping, WAN Siyang, CUI Jiayan, LI Fengneng, WEI Zhichu

    Wydane 2025-02-01
    “…Considering the matching and real-time adjustment characteristics between computing tasks and resources, a dual-layer two-stage collaborative optimization scheduling model is proposed by scheduling computing tasks under the computing node and adjustable loads under the power node. …”
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    A deep Q-learning model for sequential task offloading in edge AI systems od Dong Liu, Shiheng Gu, Xinyu Fan, Xu Zheng

    Wydane 2024-09-01
    “…Considering the resource constraints of terminal devices, multi-layer edge artificial intelligence systems improve the overall computing power of the system by scheduling computing tasks to edge and cloud servers for execution. …”
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    Multi-objective and multi constrained task scheduling framework for computational grids od Sujay N. Hegde, D. B. Srinivas, M. A. Rajan, Sita Rani, Aman Kataria, Hong Min

    Wydane 2024-03-01
    “…Abstract Grid computing emerged as a powerful computing domain for running large-scale parallel applications. Scheduling computationally intensive parallel applications such as scientific, commercial etc., computational grids is a NP-complete problem. …”
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    Design artificial robust control of second order system based on adaptive fuzzy gain scheduling od Piltan, Farzin, Salehi, Alireza, Sulaiman, Nasri

    Wydane 2011
    “…Refer to the research, a position adaptive fuzzy gain scheduling computed torque controller (AFGSCTC) design and application to robot manipulator has proposed in order to design high performance nonlinear controller in the presence of uncertainties. …”
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    Computing-network intelligence: research progress and prospects od ZHU Hailong, YANG Fan, JIANG Ruyi, JIA Qingmin, ZHOU Xiaomao, XIE Renchao, HUANG Tao

    Wydane 2024-10-01
    “…Although the computing power network (CPN) can connect via the Internet and flexibly schedule computing resources, it still lacks intelligence and flexibility in practical applications. …”
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    Resource management in blockchain-enabled heterogeneous edge computing system od Ping ZHANG, Shilin LI, Yiming LIU, Xiaoqi QIN, Xiaodong XU

    Wydane 2020-10-01
    “…In blockchain-enabled mobile edge computing (BMEC) systems,a new class of blockchain application related computation tasks was introduced to the system.Due to the differences of parallelism among computation tasks,heterogenous computing framework was introduced to suitably split various computation tasks on processors with vastly different processing power to achieve efficient task execution.Under the limited computation and communication resources,a system-wide utility maximization problem by jointly considering heterogeneous processor scheduling,computation and bandwidth resource allocation was formulated as a mixed-integer nonlinear programming problem.To solve the problem efficiently,the formulated problem was transformed into two sub-problems,namely application-driven heterogeneous processor scheduling and joint resource allocation,and a Lagrange-dual based algorithm was proposed.Simulation results show that the proposed scheme can effectively improve the system-wide utility of the BMEC system.…”
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