[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Yuan et al., 2024 - Google Patents

Partial and cost-minimized computation offloading in hybrid edge and cloud systems

Yuan et al., 2024

Document ID
8640742391163744668
Author
Yuan H
Bi J
Wang Z
Yang J
Zhang J
Publication year
Publication venue
Expert Systems with Applications

External Links

Snippet

Nowadays, numerous mobile devices (MDs) provide nearly anytime and anywhere services, running on top of various computation-intensive applications. However, bearing limited battery, bandwidth, computing, and storage resources, MDs cannot completely execute all …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/16Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
    • G06F15/163Interprocessor communication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models

Similar Documents

Publication Publication Date Title
Luo et al. Resource scheduling in edge computing: A survey
Liu et al. FedCPF: An efficient-communication federated learning approach for vehicular edge computing in 6G communication networks
Qu et al. DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
Li et al. NOMA-enabled cooperative computation offloading for blockchain-empowered Internet of Things: A learning approach
Zhang et al. Deep reinforcement learning based IRS-assisted mobile edge computing under physical-layer security
Lin et al. Resource management for pervasive-edge-computing-assisted wireless VR streaming in industrial Internet of Things
Gong et al. Resource allocation for integrated sensing and communication in digital twin enabled internet of vehicles
Liao et al. Online computation offloading with double reinforcement learning algorithm in mobile edge computing
Liu et al. Energy-efficient joint computation offloading and resource allocation strategy for ISAC-aided 6G V2X networks
Zhao et al. Profit maximization in cache-aided intelligent computing networks
Wang et al. Microservice-oriented service placement for mobile edge computing in sustainable internet of vehicles
Jiang et al. Dynamic and intelligent edge server placement based on deep reinforcement learning in mobile edge computing
Geng et al. Deep-reinforcement-learning-based distributed computation offloading in vehicular edge computing networks
Yuan et al. Partial and cost-minimized computation offloading in hybrid edge and cloud systems
Fang et al. Smart collaborative optimizations strategy for mobile edge computing based on deep reinforcement learning
Cui et al. A many-objective evolutionary algorithm based on constraints for collaborative computation offloading
Wu et al. Deep reinforcement learning-based online task offloading in mobile edge computing networks
Qin et al. User‐Edge Collaborative Resource Allocation and Offloading Strategy in Edge Computing
Liu et al. Rendered tile reuse scheme based on FoV prediction for MEC-assisted wireless VR service
Peng et al. Reliability-aware computation offloading for delay-sensitive applications in mec-enabled aerial computing
Xue et al. Collaborative computation offloading and resource allocation based on dynamic pricing in mobile edge computing
Peng et al. Task offloading in multiple-services mobile edge computing: A deep reinforcement learning algorithm
Huang et al. Mobility-aware computation offloading with load balancing in smart city networks using MEC federation
Ma et al. Dynamic neural network-based resource management for mobile edge computing in 6g networks
Cao et al. Cost-effective task partial offloading and resource allocation for multi-vehicle and multi-MEC on B5G/6G edge networks