Search Results - "Fog and Edge Computing: Principles and Paradigms"

Fog and Edge Computing: Principles and Paradigms

Exploiting Fog Computing in Health Monitoring ; Fog and Edge Computing: Principles and Paradigms

Authors: Tuan Nguyen Gia Mingzhe Jiang ohjelmistotekniikka, Software Engineering et al.

Contributors: Tuan Nguyen Gia Mingzhe Jiang ohjelmistotekniikka, Software Engineering et al.

Relation: https://www.utupub.fi/handle/10024/162968

Availability: https://www.utupub.fi/handle/10024/162968

Fog and Edge Computing : Principles and Paradigms

Authors: Rajkumar Buyya Satish Narayana Srirama

Resource Type: eBook.

Subjects: Electronic data processing--Distributed processing, Cloud computing

Categories: TECHNOLOGY & ENGINEERING / Telecommunications

Fog and edge computing: principles and paradigms

Authors: Buyya, Rajkumar Srirama, Satish Narayana

Subject Terms: XX

Relation: http://cds.cern.ch/record/2667848; oai:cds.cern.ch:2667848

Availability: http://cds.cern.ch/record/2667848

Resource Provisioning in Fog Computing - A Survey.

Authors: Vetriveeran, Divya R, Leena Sri

Source: ACM Computing Surveys; Dec2025, Vol. 57 Issue 12, p1-26, 26p

Decentralized adaptive task allocation for dynamic multi-agent systems.

Authors: Tarasova, Elizaveta Erofeeva, Victoria Granichin, Oleg et al.

Source: Scientific Reports; 11/10/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: MULTIAGENT systems, ADAPTIVE control systems, DECENTRALIZATION in management, WORK structure, SCALABILITY, OBSERVABILITY (Control theory), RESOURCE allocation

Machine learning for user mobility management in a mobile fog computing environment.

Authors: Elhaou, Hamza Oukissou, Youssef Ait Omar, Driss et al.

Source: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-18, 18p

Subject Terms: REAL-time computing, ARTIFICIAL intelligence, DISTRIBUTED computing, COMPUTER systems, SELF-organizing maps

LightLiveAuth: A Lightweight Continuous Authentication Model for Virtual Reality.

Authors: Li, Pengyu Chen, Feifei Pan, Lei et al.

Source: Internet of Things (IoT); Sep2025, Vol. 6 Issue 3, p50, 23p

Subject Terms: VIRTUAL reality, EYE tracking, ACCESS control, MULTIMODAL user interfaces, CONVOLUTIONAL neural networks, COMPUTER access control, REAL-time computing

A Comprehensive Review on IoT Marketplace Matchmaking: Approaches, Opportunities and Challenges.

Authors: An, Qi Jiang, Frank Neiat, Azadeh et al.

Source: ACM Computing Surveys; Aug2025, Vol. 57 Issue 8, p1-35, 35p

Subject Terms: INTERNET of things, ONLINE marketplaces, STATISTICAL correlation

A cost-aware IoT application deployment approach in fog computing.

Authors: Faraji-Mehmandar, Mohammad Ghobaei-Arani, Mostafa Shakarami, Ali

Source: Cluster Computing; Jun2025, Vol. 28 Issue 3, p1-24, 24p

Subject Terms: METAHEURISTIC algorithms, ARTIFICIAL intelligence, INTERNET of things, QUALITY of service, IMAGE processing

A Comprehensive Study of Resource Provisioning and Optimization in Edge Computing.

Authors: Bhaskaran, Sreebha Muthuraman, Supriya

Source: Computers, Materials & Continua; 2025, Vol. 83 Issue 3, p5037-5070, 34p

Subject Terms: SOFTWARE-defined networking, MATHEMATICAL optimization, CLOUD computing, RESOURCE allocation, REFERENCE sources, EDGE computing

Optimizing Internet of Things Services Placement in Fog Computing Using Hybrid Recommendation System.

Authors: Ben Rjeb, Hanen Sliman, Layth Zorgati, Hela et al.

Source: Future Internet; May2025, Vol. 17 Issue 5, p201, 32p

Subject Terms: RECOMMENDER systems, COMPUTER systems, SMART cities, INTERNET of things, CLOUD computing

OPENSTACK ON RASPBERRY PI: A SWOT ANALYSIS OF DEPLOYING A CLOUD COMPUTING PLATFORM ON SINGLE-BOARD COMPUTERS.

Authors: Taruc, Lyberius Ennio F. De La Cruz, Arvin R.

Source: Proceedings on Engineering Sciences; 2025, Vol. 7 Issue 2, p1343-1354, 12p

Subject Terms: SINGLE-board computers, RASPBERRY Pi, COMPUTING platforms, SWOT analysis, STEVEDORES

Enabling Green Cellular Networks: A Review and Proposal Leveraging Software-Defined Networking, Network Function Virtualization, and Cloud-Radio Access Network.

Authors: Singh, Radheshyam Larsen, Line M. P. Ollora Zaballa, Eder et al.

Source: Future Internet; Apr2025, Vol. 17 Issue 4, p161, 39p

Subject Terms: SOFTWARE-defined networking, TELECOMMUNICATION systems, STREAMING video & television, TECHNOLOGICAL innovations, ENERGY consumption, VIRTUAL networks

Optimized Resource Allocation Algorithm for a Deadline-Aware IoT Healthcare Model.

Authors: EL-Natat, Amal El-Bahnasawy, Nirmeen A. El-Sayed, Ayman et al.

Source: Big Data & Cognitive Computing; Apr2025, Vol. 9 Issue 4, p80, 23p

Subject Terms: CLASSIFICATION algorithms, RESOURCE allocation, COMPUTER systems, CLOUD computing, BASIC needs

An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy.

Authors: Rateb, Roqia Hadi, Ahmed Adnan Tamanampudi, Venkata Mohit et al.

Source: Scientific Reports; 1/28/2025, Vol. 15 Issue 1, p1-31, 31p

Subject Terms: VIRTUAL machine systems, COMPUTER systems, COMPUTING platforms, INTERNET of things, ENERGY consumption, PRODUCTION scheduling

FogDEFTKube: Standards‐compliant dynamic deployment of fog service containers.

Authors: Thalla, Rajesh Srirama, Satish Narayana

Source: Software: Practice & Experience; Dec2024, Vol. 54 Issue 12, p2428-2453, 26p

Subject Terms: FAULT tolerance (Engineering), CORE competencies, INTERNET of things, CONTAINERIZATION, STEVEDORES

Enhancing resource management in fog-cloud internet of things systems with deep learning-based task allocation.

Authors: Venkatesan, Vijayalakshmi Murugan, Saravanan

Source: International Journal of Electrical & Computer Engineering (2088-8708); Dec2024, Vol. 14 Issue 6, p7244-7253, 10p

Subject Terms: SUPPORT vector machines, K-nearest neighbor classification, COMMUNICATION infrastructure, QUALITY of service, RANDOM forest algorithms, DEEP learning

Dynamic service provisioning in heterogeneous fog computing architecture using deep reinforcement learning.

Authors: Alizadeh Govarchinghaleh, Yaghoub Sabaei, Masoud

Source: Journal of Supercomputing; Nov2024, Vol. 80 Issue 16, p23867-23910, 44p

Subject Terms: DEEP reinforcement learning, REINFORCEMENT learning, HEURISTIC algorithms, HETEROGENEOUS computing, INTERNET of things

Improving Energy Consumption for Respond to Requests in Internet of Things by Various Optimization Algorithm, Based on the Fog Computing.

Authors: Tao, Ning Deye, Jiang Yiguang, Wang

Source: Wireless Personal Communications; Nov2024, Vol. 139 Issue 1, p21-51, 31p

Subject Terms: OPTIMIZATION algorithms, COST functions, INTERNET of things, GENETIC algorithms, ENERGY consumption, PARTICLE swarm optimization