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

Lv et al., 2021 - Google Patents

AI-enabled IoT-edge data analytics for connected living

Lv et al., 2021

View PDF
Document ID
4982764726716542834
Author
Lv Z
Qiao L
Verma S
Kavita
Publication year
Publication venue
ACM Transactions on Internet Technology

External Links

Snippet

As deep learning, virtual reality, and other technologies become mature, real-time data processing applications running on intelligent terminals are emerging endlessly; meanwhile, edge computing has developed rapidly and has become a popular research direction in the …
Continue reading at sci-hub.gg (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/16—Combinations 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
    • G06F15/163—Interprocessor communication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network

Similar Documents

Publication Publication Date Title
Lv et al. AI-enabled IoT-edge data analytics for connected living
Rahbari et al. Task offloading in mobile fog computing by classification and regression tree
Zhou et al. Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities
Ferrer et al. Towards the decentralised cloud: Survey on approaches and challenges for mobile, ad hoc, and edge computing
Lu et al. IoTDeM: An IoT Big Data-oriented MapReduce performance prediction extended model in multiple edge clouds
Rajagopal et al. FedSDM: Federated learning based smart decision making module for ECG data in IoT integrated Edge–Fog–Cloud computing environments
Masaracchia et al. Digital twin for 6G: Taxonomy, research challenges, and the road ahead
Sonkoly et al. Survey on placement methods in the edge and beyond
Leitao et al. Smart agents in industrial cyber–physical systems
Liu et al. A survey on workflow management and scheduling in cloud computing
Naas et al. An extension to ifogsim to enable the design of data placement strategies
Yang et al. A spatiotemporal compression based approach for efficient big data processing on cloud
Kaur et al. Data placement in era of cloud computing: a survey, taxonomy and open research issues
Ashraf A proactive role of IoT devices in building smart cities
Raeisi-Varzaneh et al. Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions
Xu et al. Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing
Lan et al. Task partitioning and orchestration on heterogeneous edge platforms: The case of vision applications
Al-Ali et al. Role of IoT technologies in big data management systems: A review and Smart Grid case study
Salehnia et al. An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm
Park et al. Advanced algorithms and applications based on IoT for the smart devices
Ryabko et al. Graph model of Fog Computing system.
Bu et al. Task scheduling in the internet of things: challenges, solutions, and future trends
Hussain et al. Resource allocation of industry 4.0 micro-service applications across serverless fog federation
Ding et al. Task allocation in hybrid big data analytics for urban IoT applications
Subrahmanyam et al. Optimizing horizontal scalability in cloud computing using simulated annealing for Internet of Things