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Method for Dynamic Service Orchestration in Fog Computing

https://doi.org/10.3390/electronics10151796

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Fog and Fogonomics

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A job scheduling algorithm for delay and performance optimization in fog computing

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Models, Methods, Concepts & Applications of the Analytic Hierarchy Process

inferredcites →https://doi.org/10.1007/978-3-030-59506-7_17openalex-snapshot

Orchestration Security Challenges in the Fog Computing

inferredcites →https://doi.org/10.1007/978-3-642-21524-7openalex-snapshot

Advances in Swarm Intelligence

inferredcites →https://doi.org/10.1007/s11276-019-02208-yopenalex-snapshot

Fog Computing Applications in Smart Cities: A Systematic Survey

inferredcites →https://doi.org/10.1007/s11761-017-0219-8openalex-snapshot

Optimized IoT service placement in the fog

inferredcites →https://doi.org/10.1007/s12083-019-00721-7openalex-snapshot

Task offloading in mobile fog computing by classification and regression tree

inferredcites →https://doi.org/10.1007/s12243-016-0524-9openalex-snapshot

Service placement for latency reduction in the internet of things

inferredcites →https://doi.org/10.1007/s12652-018-0914-0openalex-snapshot

A lightweight decentralized service placement policy for performance optimization in fog computing

inferredcites →https://doi.org/10.1016/j.actaastro.2020.04.012openalex-snapshot

Utilizing the Analytical Hierarchy Process to determine the optimal lunar habitat configuration

inferredcites →https://doi.org/10.1016/j.comcom.2019.04.008openalex-snapshot

Network Service Orchestration: A survey

inferredcites →https://doi.org/10.1016/j.comnet.2020.107270openalex-snapshot

Topology Control in Fog Computing Enabled IoT Networks for Smart Cities

inferredcites →https://doi.org/10.1016/j.cor.2006.12.030openalex-snapshot

A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem

inferredcites →https://doi.org/10.1016/j.future.2019.10.018openalex-snapshot

Deadline-based dynamic resource allocation and provisioning algorithms in Fog-Cloud environment

inferredcites →https://doi.org/10.1016/j.future.2020.01.036openalex-snapshot

Classification of optimization problems in fog computing

inferredcites →https://doi.org/10.1016/j.future.2020.02.001openalex-snapshot

Achieving security scalability and flexibility using Fog-Based Context-Aware Access Control

inferredcites →https://doi.org/10.1016/j.future.2020.06.016openalex-snapshot

Design and application of fog computing and Internet of Things service platform for smart city

inferredcites →https://doi.org/10.1016/j.iot.2020.100273openalex-snapshot

Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research

inferredcites →https://doi.org/10.1016/j.jnca.2017.01.012openalex-snapshot

MIST: Fog-based data analytics scheme with cost-efficient resource provisioning for IoT crowdsensing applications

inferredcites →https://doi.org/10.1016/j.matpr.2017.11.663openalex-snapshot

A State of the Art Review of Analytical Hierarchy Process

inferredcites →https://doi.org/10.1016/j.peva.2015.06.013openalex-snapshot

Dynamic service migration and workload scheduling in edge-clouds

inferredcites →https://doi.org/10.1016/j.scs.2020.102139openalex-snapshot

Fog computing for sustainable smart cities in the IoT era: Caching techniques and enabling technologies - an overview

inferredcites →https://doi.org/10.1016/j.sysarc.2020.101821openalex-snapshot

A Maude-Based rewriting approach to model and verify Cloud/Fog self-adaptation and orchestration

inferredcites →https://doi.org/10.1023/a:1015664327686openalex-snapshot

Design and Implementation of Fuzzy Parallel-Parking Control for a Car-Type Mobile Robot

inferredcites →https://doi.org/10.1109/ficloud.2017.49openalex-snapshot

Service Orchestration in Fog Environments

inferredcites →https://doi.org/10.1109/fmec.2017.7946419openalex-snapshot

A service orchestration architecture for Fog-enabled infrastructures

inferredcites →https://doi.org/10.1109/icarsc.2016.26openalex-snapshot

Analytical Hierarchy Process based Multi-objective Multiple Traveling Salesman Problem

inferredcites →https://doi.org/10.1109/icc.2009.5199007openalex-snapshot

Evaluating Algorithms for Composable Service Placement in Computer Networks

inferredcites →https://doi.org/10.1109/icc.2015.7248379openalex-snapshot

Security as a CoAP resource: An optimized DTLS implementation for the IoT

inferredcites →https://doi.org/10.1109/icc40277.2020.9149019openalex-snapshot

Dynamic Orchestration of Security Services at Fog Nodes for 5G IoT

inferredcites →https://doi.org/10.1109/icfec.2017.8openalex-snapshot

How to Best Deploy Your Fog Applications, Probably

inferredcites →https://doi.org/10.1109/iri.2014.7051866openalex-snapshot

Policy-driven security management for fog computing: Preliminary framework and a case study

inferredcites →https://doi.org/10.1109/mic.2017.36openalex-snapshot

Fog Orchestration for Internet of Things Services

inferredcites →https://doi.org/10.1109/percomw.2015.7134002openalex-snapshot

Dynamic resource provisioning through Fog micro datacenter

inferredcites →https://doi.org/10.1109/tevc.2004.826067openalex-snapshot

Handling multiple objectives with particle swarm optimization

inferredcites →https://doi.org/10.1109/tpds.2021.3135907openalex-snapshot

MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems

inferredcites →https://doi.org/10.1109/tsc.2020.2978472openalex-snapshot

QoS-Aware Fog Service Orchestration for Industrial Internet of Things

inferredcites →https://doi.org/10.1145/2908812.2908935openalex-snapshot

A New Discrete Particle Swarm Optimization Algorithm

inferredcites →https://doi.org/10.1155/2017/9303989openalex-snapshot

Optimal Planning of Communication System of CPS for Distribution Network

inferredcites →https://doi.org/10.1186/s13174-018-0086-3openalex-snapshot

Fog orchestration for the Internet of Everything: state-of-the-art and research challenges

inferredcites →https://doi.org/10.3390/en11092426openalex-snapshot

Multi-Objective Optimization Design of an Electrohydrostatic Actuator Based on a Particle Swarm Optimization Algorithm and an Analytic Hierarchy Process

inferredcites →https://doi.org/10.3390/s17091978openalex-snapshot

A Practical Evaluation of a High-Security Energy-Efficient Gateway for IoT Fog Computing Applications

inferredcites →https://doi.org/10.3390/s18113868openalex-snapshot

A Practical Evaluation on RSA and ECC-Based Cipher Suites for IoT High-Security Energy-Efficient Fog and Mist Computing Devices

inferredcites →https://doi.org/10.3390/s19163612openalex-snapshot

An Edge-Fog Secure Self-Authenticable Data Transfer Protocol

inferredcites →https://doi.org/10.4028/www.scientific.net/amm.220-223.1787openalex-snapshot

Study on Discrete Particle Swarm Optimization Algorithm

inferredcites →https://doi.org/10.6028/nist.sp.800-57pt1r4openalex-snapshot

Recommendation for Key Management Part 1: General

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.8239openalex-snapshot

Adam‐Ladybug Beetle Optimization enabled multi‐objective service placement strategy in fog computing

inferred← citeshttps://doi.org/10.1002/ett.4650openalex-snapshot

Reinforcement optimization for decentralized service placement policy in IoT‐centric fog environment

inferred← citeshttps://doi.org/10.1016/b978-0-44-322217-7.00012-8openalex-snapshot

IoT inter-cloud interoperability for sustainable digital transformation

inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110393openalex-snapshot

An integrated Fuzzy-BWM, Fuzzy-LBWA and V-Fuzzy-CoCoSo-LD model for gateway selection in fog-bolstered Internet of Things

inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111352openalex-snapshot

BASTION: Beyond automated service and security orchestration for next-generation networks

inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.12.001openalex-snapshot

Optimal placement of applications in the fog environment: A systematic literature review

inferred← citeshttps://doi.org/10.1109/access.2022.3218412openalex-snapshot

HArMoNICS: High-Assurance Microgrid Network Infrastructure Case Study

inferred← citeshttps://doi.org/10.1109/access.2024.3446876openalex-snapshot

Dynamic Swarm Orchestration and Semantics in IoT Edge Devices: A Systematic Literature Review

inferred← citeshttps://doi.org/10.1109/ispcc53510.2021.9609479openalex-snapshot

QoE-based Resource Management of Applications in the Fog Computing Environment using AHP Technique

inferred← citeshttps://doi.org/10.1109/mlsd58227.2023.10303770openalex-snapshot

Multicriteria Data Processing Management in the Geographically Distributed Computing Systems with QoS Time Requirements

inferred← citeshttps://doi.org/10.1109/tnsm.2021.3133354openalex-snapshot

A Fog Computing Orchestrator Architecture With Service Model Awareness

inferred← citeshttps://doi.org/10.23919/cnsm55787.2022.9964970openalex-snapshot

Function-as-a-Service Orchestration in Fog Computing Environments

inferred← citeshttps://doi.org/10.3390/books978-3-0365-4275-1openalex-snapshot

Edge Computing for Internet of Things

inferred← citeshttps://doi.org/10.3390/electronics11081239openalex-snapshot

Edge Computing for Internet of Things

inferred← citeshttps://doi.org/10.3390/fi16070248openalex-snapshot

Multi-Agent Dynamic Fog Service Placement Approach

inferred← citeshttps://doi.org/10.3390/s22155894openalex-snapshot

Distributed Agent-Based Orchestrator Model for Fog Computing

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