Qayyum et al., 2022 - Google Patents
Mobility-aware hierarchical fog computing framework for Industrial Internet of Things (IIoT)Qayyum et al., 2022
View HTML- Document ID
- 16880097216959879188
- Author
- Qayyum T
- Trabelsi Z
- Waqar Malik A
- Hayawi K
- Publication year
- Publication venue
- Journal of Cloud Computing
External Links
Snippet
Abstract The Industrial Internet of Things (IIoTs) is an emerging area that forms the collaborative environment for devices to share resources. In IIoT, many sensors, actuators, and other devices are used to improve industrial efficiency. As most of the devices are …
- 238000004891 communication 0 abstract description 12
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
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
-
- 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
- H04L67/1002—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers, e.g. load balancing
- H04L67/1004—Server selection in load balancing
- H04L67/1014—Server selection in load balancing based on the content of a request
-
- 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
- H04L67/32—Network-specific arrangements or communication protocols supporting networked applications for scheduling or organising the servicing of application requests, e.g. requests for application data transmissions involving the analysis and optimisation of the required network resources
-
- 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
- H04L67/28—Network-specific arrangements or communication protocols supporting networked applications for the provision of proxy services, e.g. intermediate processing or storage in the network
-
- 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
- H04L67/16—Service discovery or service management, e.g. service location protocol [SLP] or Web services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
- H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Application independent communication protocol aspects or techniques in packet data networks
- H04L69/30—Definitions, standards or architectural aspects of layered protocol stacks
- H04L69/32—High level architectural aspects of 7-layer open systems interconnection [OSI] type protocol stacks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
- H04L41/50—Network service management, i.e. ensuring proper service fulfillment according to an agreement or contract between two parties, e.g. between an IT-provider and a customer
- H04L41/5041—Service implementation
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Luo et al. | Resource scheduling in edge computing: A survey | |
Wang et al. | A survey and taxonomy on task offloading for edge-cloud computing | |
Alizadeh et al. | Task scheduling approaches in fog computing: A systematic review | |
Alqahtani et al. | Reliable scheduling and load balancing for requests in cloud-fog computing | |
Kar et al. | Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey | |
Gasmi et al. | A survey on computation offloading and service placement in fog computing-based IoT | |
Hosseinioun et al. | aTask scheduling approaches in fog computing: A survey | |
Wang et al. | MAP based modeling method and performance study of a task offloading scheme with time-correlated traffic and VM repair in MEC systems | |
Qayyum et al. | Mobility-aware hierarchical fog computing framework for Industrial Internet of Things (IIoT) | |
Sun et al. | Multi-objective optimization of resource scheduling in fog computing using an improved NSGA-II | |
Mora et al. | Multilayer architecture model for mobile cloud computing paradigm | |
Li et al. | MEC-based dynamic controller placement in SD-IoV: A deep reinforcement learning approach | |
Lin et al. | A novel utility based resource management scheme in vehicular social edge computing | |
Kar et al. | A survey on offloading in federated cloud-edge-fog systems with traditional optimization and machine learning | |
Fahimullah et al. | Machine learning-based solutions for resource management in fog computing | |
JP2024514057A (en) | Automatic container migration system | |
Abu-Amssimir et al. | A QoS-aware resource management scheme over fog computing infrastructures in IoT systems | |
Mahmoudi et al. | SDN-DVFS: an enhanced QoS-aware load-balancing method in software defined networks | |
Kim | New application task offloading algorithms for edge, fog, and cloud computing paradigms | |
Alqarni et al. | A survey of computational offloading in cloud/edge-based architectures: Strategies, optimization models and challenges | |
Javadpour et al. | Mapping and embedding infrastructure resource management in software defined networks | |
Qin et al. | Optimal workload allocation for edge computing network using application prediction | |
Zare et al. | Imperialist competitive based approach for efficient deployment of IoT services in fog computing | |
Vijayalakshmi et al. | Reinforcement learning-based multi-objective energy-efficient task scheduling in fog-cloud industrial IoT-based systems | |
Lu et al. | QoS-aware online service provisioning and updating in cost-efficient multi-tenant mobile edge computing |