Cargando…

Method to Increase Dependability in a Cloud-Fog-Edge Environment

Robots can be very different, from humanoids to intelligent self-driving cars or just IoT systems that collect and process local sensors’ information. This paper presents a way to increase dependability for information exchange and processing in systems with Cloud-Fog-Edge architectures. In an ideal...

Descripción completa

Detalles Bibliográficos
Autores principales:	Stan, Ovidiu Petru, Enyedi, Szilárd, Corches, Cosmina, Flonta, Stelian, Stefan, Iulia, Gota, Dan, Miclea, Liviu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309580/ https://www.ncbi.nlm.nih.gov/pubmed/34300454 http://dx.doi.org/10.3390/s21144714

Ejemplares similares

Availability of an RFID Object-Identification System in IoT Environments
por: Corches, Cosmina, et al.
Publicado: (2021)

Method for Continuous Integration and Deployment Using a Pipeline Generator for Agile Software Projects
por: Donca, Ionut-Catalin, et al.
Publicado: (2022)

On the Efficient Delivery and Storage of IoT Data in Edge–Fog–Cloud Environments
por: Barron, Alfredo, et al.
Publicado: (2022)

A Survey of Security in Cloud, Edge, and Fog Computing
por: Ometov, Aleksandr, et al.
Publicado: (2022)

An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
por: Cao, Hung, et al.
Publicado: (2019)

Optimal Design of Hierarchical Cloud-Fog&Edge Computing Networks with Caching
por: Fan, Xiaoqian, et al.
Publicado: (2020)

Recent Advances in Evolving Computing Paradigms: Cloud, Edge, and Fog Technologies
por: Angel, Nancy A, et al.
Publicado: (2021)

Autonomous Robots for Services—State of the Art, Challenges, and Research Areas
por: Misaros, Marius, et al.
Publicado: (2023)

Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification
por: Mijuskovic, Adriana, et al.
Publicado: (2021)

Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture
por: Fereira, Rolden, et al.
Publicado: (2023)

On the Location of Fog Nodes in Fog-Cloud Infrastructures
por: C. da Silva, Rodrigo A., et al.
Publicado: (2019)

Cloud computing for geospatial big data analytics: intelligent edge, fog and mist computing
por: Das, Himansu, et al.
Publicado: (2019)

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture
por: Kalyani, Yogeswaranathan, et al.
Publicado: (2021)

Seismic Model Parameter Optimization for Building Structures
por: Károly, Lengyel, et al.
Publicado: (2020)

Optimal Service Provisioning for the Scalable Fog/Edge Computing Environment
por: Choi, Jonghwa, et al.
Publicado: (2021)

A fault-tolerant aware scheduling method for fog-cloud environments
por: Alarifi, Abdulaziz, et al.
Publicado: (2019)

A Comprehensive Survey on Resource Allocation Strategies in Fog/Cloud Environments
por: Vergara, Jaime, et al.
Publicado: (2023)

Multi-Cloud Resource Management Techniques for Cyber-Physical Systems
por: Bucur, Vlad, et al.
Publicado: (2021)

Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers
por: Miñón, Raúl, et al.
Publicado: (2022)

Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud
por: Rodrigues, Vinicius Facco, et al.
Publicado: (2023)

Fog and edge computing: principles and paradigms
por: Buyya, Rajkumar, et al.
Publicado: (2019)

A Heterogeneous Edge-Fog Environment Supporting Digital Twins for Remote Inspections
por: da Silva, Luiz A. Z., et al.
Publicado: (2020)

STROVE: spatial data infrastructure enabled cloud–fog–edge computing framework for combating COVID-19 pandemic
por: Ghosh, Shreya, et al.
Publicado: (2022)

Edge–Fog–Cloud Computing Hierarchy for Improving Performance and Security of NB-IoT-Based Health Monitoring Systems
por: Daraghmi, Yousef-Awwad, et al.
Publicado: (2022)

Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment
por: Aleisa, Mohammed A., et al.
Publicado: (2021)

Edge/Fog Computing Technologies for IoT Infrastructure
por: Kim, Taehong, et al.
Publicado: (2021)

A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers
por: Taherizadeh, Salman, et al.
Publicado: (2018)

Intelligent Internet of Things: from device to fog and cloud
por: Firouzi, Farshad, et al.
Publicado: (2020)

Actuator behaviour modelling in IoT-Fog-Cloud simulation
por: Markus, Andras, et al.
Publicado: (2021)

A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System
por: Alatoun, Kholoud, et al.
Publicado: (2022)

Edge/Fog Computing Technologies for IoT Infrastructure II
por: Kim, Taehong, et al.
Publicado: (2023)

Online Workload Allocation via Fog-Fog-Cloud Cooperation to Reduce IoT Task Service Delay
por: Li, Lei, et al.
Publicado: (2019)

Managing the Cloud Continuum: Lessons Learnt from a Real Fog-to-Cloud Deployment
por: Masip-Bruin, Xavi, et al.
Publicado: (2021)

Hash-Chain Fog/Edge: A Mode-Based Hash-Chain for Secured Mutual Authentication Protocol Using Zero-Knowledge Proofs in Fog/Edge
por: Pardeshi, Mayuresh Sunil, et al.
Publicado: (2022)

An Intelligent Approach for Cloud-Fog-Edge Computing SDN-VANETs Based on Fuzzy Logic: Effect of Different Parameters on Coordination and Management of Resources
por: Qafzezi, Ermioni, et al.
Publicado: (2022)

Modified firefly algorithm for workflow scheduling in cloud-edge environment
por: Bacanin, Nebojsa, et al.
Publicado: (2022)

An Edge-Fog Secure Self-Authenticable Data Transfer Protocol
por: Venčkauskas, Algimantas, et al.
Publicado: (2019)

An Overview of Fog Computing and Edge Computing Security and Privacy Issues
por: Alwakeel, Ahmed M.
Publicado: (2021)

Laser and LIDAR in a System for Visibility Distance Estimation in Fog Conditions
por: Miclea, Razvan-Catalin, et al.
Publicado: (2020)

Imtidad: A Reference Architecture and a Case Study on Developing Distributed AI Services for Skin Disease Diagnosis over Cloud, Fog and Edge
por: Janbi, Nourah, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_aad5hm177hk67m53h6jv9r72hj