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Dynamic, Context-Aware Cross-Layer Orchestration of Containerized Applications

https://doi.org/10.1109/access.2023.3307026

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What this work says

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

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Predictive Analysis to Support Fog Application Deployment

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Towards a Better Understanding of Context and Context-Awareness

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Container Orchestration: A Survey

inferredcites →https://doi.org/10.1016/j.comcom.2020.04.061openalex-snapshot

Geo-distributed efficient deployment of containers with Kubernetes

inferredcites →https://doi.org/10.1016/j.future.2018.07.033openalex-snapshot

Seamless computing in industrial systems using container orchestration

inferredcites →https://doi.org/10.1016/j.procs.2020.04.152openalex-snapshot

Performance Evaluation of Docker Container and Virtual Machine

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All one needs to know about fog computing and related edge computing paradigms: A complete survey

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Swarm Learning for decentralized and confidential clinical machine learning

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A Survey on the Edge Computing for the Internet of Things

inferredcites →https://doi.org/10.1109/access.2018.2828102openalex-snapshot

A Survey on Service Migration in Mobile Edge Computing

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A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing

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A Discussion on Context-Awareness to Better Support the IoT Cloud/Edge Continuum

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Architecture for Orchestrating Dynamic DNN-Powered Image Processing Tasks in Edge and Cloud Devices

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Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies

inferredcites →https://doi.org/10.1109/aicas.2019.8771621openalex-snapshot

Edge and Fog Computing Enabled AI for IoT-An Overview

inferredcites →https://doi.org/10.1109/bigdata52589.2021.9671608openalex-snapshot

Pathfinder: Building the Enterprise Data Map

inferredcites →https://doi.org/10.1109/canopie-hpc49598.2019.00007openalex-snapshot

Enabling HPC Workloads on Cloud Infrastructure Using Kubernetes Container Orchestration Mechanisms

inferredcites →https://doi.org/10.1109/csndsp54353.2022.9908059openalex-snapshot

Cloud-native IP-based mobility management: a MIPv6 Home Agent standalone microservice design

inferredcites →https://doi.org/10.1109/csss.2011.5972040openalex-snapshot

A survey on context awareness

inferredcites →https://doi.org/10.1109/icbk.2019.00033openalex-snapshot

A Performance Comparison of Cloud-Based Container Orchestration Tools

inferredcites →https://doi.org/10.1109/iccsp48568.2020.9182210openalex-snapshot

Computation Offloading Techniques in Mobile Edge Computing Environment: A Review

inferredcites →https://doi.org/10.1109/icicv50876.2021.9388639openalex-snapshot

A Survey on Evolution of Cloud Technology and Virtualization

inferredcites →https://doi.org/10.1109/icws49710.2020.00072openalex-snapshot

A-SARSA: A Predictive Container Auto-Scaling Algorithm Based on Reinforcement Learning

inferredcites →https://doi.org/10.1109/infoteh53737.2022.9751317openalex-snapshot

Combining Container Orchestration and Machine Learning in the Cloud: a Systematic Mapping Study

inferredcites →https://doi.org/10.1109/jiot.2017.2767608openalex-snapshot

Future Edge Cloud and Edge Computing for Internet of Things Applications

inferredcites →https://doi.org/10.1109/jiot.2019.2939534openalex-snapshot

KEIDS: Kubernetes-Based Energy and Interference Driven Scheduler for Industrial IoT in Edge-Cloud Ecosystem

inferredcites →https://doi.org/10.1109/jiot.2020.3021006openalex-snapshot

Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms

inferredcites →https://doi.org/10.1109/jiot.2020.3030072openalex-snapshot

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

inferredcites →https://doi.org/10.1109/jiot.2021.3095077openalex-snapshot

A Survey on Federated Learning for Resource-Constrained IoT Devices

inferredcites →https://doi.org/10.1109/jproc.2019.2920341openalex-snapshot

A Survey on Edge Computing Systems and Tools

inferredcites →https://doi.org/10.1109/jsac.2021.3118346openalex-snapshot

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

inferredcites →https://doi.org/10.1109/meditcom49071.2021.9647588openalex-snapshot

User Association and Behavioral Characterization during Task Offloading at the Edge

inferredcites →https://doi.org/10.1109/mnet.001.1800510openalex-snapshot

AI-Enhanced Offloading in Edge Computing: When Machine Learning Meets Industrial IoT

inferredcites →https://doi.org/10.1109/mwc.001.1900119openalex-snapshot

Reliable Federated Learning for Mobile Networks

inferredcites →https://doi.org/10.1109/seaa51224.2020.00015openalex-snapshot

AI on the Edge: Architectural Alternatives

inferredcites →https://doi.org/10.1109/seaa53835.2021.00029openalex-snapshot

Self-adaptive K8S Cloud Controller for Time-sensitive Applications

inferredcites →https://doi.org/10.1109/ucc56403.2022.00019openalex-snapshot

Mobile-Kube: Mobility-aware and Energy-efficient Service Orchestration on Kubernetes Edge Servers

inferredcites →https://doi.org/10.1109/wimob.2005.1512959openalex-snapshot

Exploiting user behaviour for context-aware power management

inferredcites →https://doi.org/10.1109/wimob.2019.8923345openalex-snapshot

Mobility Management Optimization via Inference of Roaming Behavior

inferredcites →https://doi.org/10.1145/3365199openalex-snapshot

The Ideal Versus the Real

inferredcites →https://doi.org/10.1145/3510415openalex-snapshot

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions

inferredcites →https://doi.org/10.1145/3539606openalex-snapshot

Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges

inferredcites →https://doi.org/10.1145/3544788openalex-snapshot

Custom Scheduling in Kubernetes: A Survey on Common Problems and Solution Approaches

inferredcites →https://doi.org/10.1145/3564695.3564773openalex-snapshot

Revisiting data lakes

inferredcites →https://doi.org/10.1201/9780429507670-9openalex-snapshot

The Role of Smart Data in Inference of Human Behavior and Interaction

inferredcites →https://doi.org/10.17487/rfc2475openalex-snapshot

An Architecture for Differentiated Services

inferredcites →https://doi.org/10.23919/indiacom54597.2022.9763171openalex-snapshot

A Comparative Analysis of Container Orchestration Tools in Cloud Computing

inferredcites →https://doi.org/10.23919/softcom.2019.8903766openalex-snapshot

Context-Aware K8S Scheduler for Real Time Distributed 5G Edge Computing Applications

inferredcites →https://doi.org/10.3390/s22082869openalex-snapshot

Load-Balancing of Kubernetes-Based Edge Computing Infrastructure Using Resource Adaptive Proxy

inferredcites →https://doi.org/10.3390/su13010364openalex-snapshot

Mobility Behaviour in View of the Impact of the COVID-19 Pandemic—Public Transport Users in Gdansk Case Study

inferredcites →https://doi.org/10.4108/eetsc.v6i18.1197openalex-snapshot

Cloud-Edge Orchestration for Smart Cities: A Review of Kubernetes-based Orchestration Architectures

inferredcites →https://doi.org/10.5281/zenodo.5837298openalex-snapshot

A Vision on Smart, Decentralised Edge Computing Research Directions

What points at this work

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

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Containerization in Multi-Cloud Environment: Roles, Strategies, Challenges, and Solutions for Effective Implementation

inferred← citeshttps://doi.org/10.1016/j.jss.2025.112558openalex-snapshot

Containerization in multi-cloud environment: Roles, strategies, challenges, and solutions for effective implementation

inferred← citeshttps://doi.org/10.1109/access.2024.3406861openalex-snapshot

A Framework for Cognitive, Decentralized Container Orchestration

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/conecct65861.2025.11306504openalex-snapshot

Comparative Analysis of Kubernetes Autoscaling Using Internal and External Metrics

inferred← citeshttps://doi.org/10.1109/icirca69024.2026.11570629openalex-snapshot

An IoT-Semantic Web Services Integration Framework for Context-Aware Smart City Applications

inferred← citeshttps://doi.org/10.1109/icws72778.2026.00045openalex-snapshot

CognitiveContinuum: Intent-Aware Orchestration Using LLM and Fuzzy Logic

inferred← citeshttps://doi.org/10.1109/ietacs68750.2025.11385550openalex-snapshot

Deploying Context-Aware AI Tools for Internal Organizational Communication

inferred← citeshttps://doi.org/10.1109/mcom.001.2500638openalex-snapshot

Context-Awareness for Dependable Low-Power IoT

inferred← citeshttps://doi.org/10.21203/rs.3.rs-10458990/v1openalex-snapshot

AI-Driven Multi-Objective Scheduling and Load Balancing of Containers in Federated Cloud Environments

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

Multi-Agent Dynamic Fog Service Placement Approach

inferred← citeshttps://doi.org/10.4018/979-8-3373-0954-5.ch002openalex-snapshot

AI-Driven Security Systems and Intelligence Threat Response Using Autonomous Cyber Defense

inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-3654/short8.pdfopenalex-snapshot

Automation of Data Management Processes in Cloud Storage

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