Fog Computing - Complementing Cloud Computing to Facilitate Industry 4.0
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Number of citations to item: 24
- Shantanu Dey (2023): Surviving major disruptions: Building supply chain resilience and visibility through rapid information flow and real-time insights at the “edge”, In: Sustainable Manufacturing and Service Economics, doi:10.1016/j.smse.2022.100008
- R. Alexander, K. Pradeep Mohan Kumar (2022): A Scrutiny of Privacy and Security Issues in Fog Computing Environment, In: 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), doi:10.1109/icosec54921.2022.9951886
- Daniel Fürstenau, Hannes Rothe, Matthias Sandner (2020): Leaving the Shadow: A Configurational Approach to Explain Post-identification Outcomes of Shadow IT Systems, In: Business & Information Systems Engineering 2(63), doi:10.1007/s12599-020-00635-2
- Sita Rani, Aman Kataria, Meetali Chauhan (2021): Fog Computing in Industry 4.0: Applications and Challenges—A Research Roadmap, In: Lecture Notes on Data Engineering and Communications Technologies, doi:10.1007/978-981-16-3448-2_9
- Siqi Luo, Xu Chen, Zhi Zhou (2019): F3C: Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing, In: 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), doi:10.1109/icdcs.2019.00105
- Dominik Martin, Niklas Kuhl, Marcel Schwenk (2021): Towards a Reference Architecture for Future Industrial Internet of Things Networks, In: 2021 IEEE 23rd Conference on Business Informatics (CBI), doi:10.1109/cbi52690.2021.10049
- Siqi Luo, Xu Chen, Zhi Zhou, Shuai Yu (2021): Fog-Enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing, In: IEEE Transactions on Vehicular Technology 4(70), doi:10.1109/tvt.2021.3062664
- Upendra Verma, Diwakar Bhardwaj (2022): Fog Computing Paradigm for Internet of Things Applications, In: Ambient Intelligence and Internet of Things, doi:10.1002/9781119821847.ch8
- Gianluca Roascio, Gabriele Costa, Emmanuel Baccelli, Lukas Malina, Raimundas Matulevicius, Marius Momeu, Nerijus Morkevicius, Enrico Russo, Branka Stojanovic, Aimilia Tasidou (2022): HArMoNICS: High-Assurance Microgrid Network Infrastructure Case Study, In: IEEE Access, doi:10.1109/access.2022.3218412
- Marcin Pietrasik, Anna Wilbik, Paul Grefen (2024): The enabling technologies for digitalization in the chemical process industry, In: Digital Chemical Engineering, doi:10.1016/j.dche.2024.100161
- Omar H. Alhazmi, Khalid S. Aloufi (2019): Fog-Based Internet of Things: A Security Scheme, In: 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS), doi:10.1109/cais.2019.8769506
- Christopher Crabbe (2020): Smart Parking for Future Smart Cities Using Fog Computing Paradigms, In: Proceedings of the 7th International Conference on ICT for Sustainability, doi:10.1145/3401335.3401358
- M. Abinaya (2024): Cloud-IoT-Based Healthcare Applications, In: Advances in Healthcare Information Systems and Administration, doi:10.4018/979-8-3693-7225-8.ch006
- Omar H. Alhazmi (2020): Fog-Based Internet of Things Security Issues, In: Asset Analytics, doi:10.1007/978-981-15-3647-2_42
- Mohsen Soori, Behrooz Arezoo, Roza Dastres (2024): Virtual manufacturing in Industry 4.0: A review, In: Data Science and Management 1(7), doi:10.1016/j.dsm.2023.10.006
- Meena Rani, Kalpna Guleria, Surya Narayan Panda (2021): Enhancing Performance of Cloud: Fog Computing Architecture, Challenges and Open Issues, In: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), doi:10.1109/icrito51393.2021.9596498
- Dominik Martin, Niklas Kühl, Gerhard Satzger (2021): Virtual Sensors, In: Business & Information Systems Engineering 3(63), doi:10.1007/s12599-021-00689-w
- Arlindo Santos, Claudio Lima, Arsénio Reis, Tiago Pinto, Paulo Nogueira, João Barroso (2023): Design of Context-Aware Information Systems in Manufacturing Industries: Overview and Challenges, In: Lecture Notes in Networks and Systems, doi:10.1007/978-3-031-38318-2_32
- Jinjiang Wang, Yulin Ma, Zuguang Huang, Ruijuan Xue, Rui Zhao (2019): Performance Analysis and Enhancement of Deep Convolutional Neural Network, In: Business & Information Systems Engineering 3(61), doi:10.1007/s12599-019-00593-4
- Komala C. R., V. Vaithianathan, K. J. Jegadish Kumar, S. Vijayakumar, Gunavathie M. A. (2024): Fog and Cloud Computing Integration With Intelligent Surfaces and Recent Advances, In: Advances in Computational Intelligence and Robotics, doi:10.4018/979-8-3693-2432-5.ch013
- Sakchai Chaiyarak, Alongkorn Koednet, Prachyanun Nilsook (2020): Blockchain, IoT and Fog Computing for Smart Education Management, In: International Journal of Education and Information Technologies, doi:10.46300/9109.2020.14.7
- Wenda Tang, Xuan Zhao, Wajid Rafique, Lianyong Qi, Wanchun Dou, Qiang Ni (2019): An offloading method using decentralized P2P-enabled mobile edge servers in edge computing, In: Journal of Systems Architecture, doi:10.1016/j.sysarc.2019.02.001
- Shantanu Dey (2022): Surviving Major Disruptions: Building Supply Chain Resilience and Visibility Through Rapid Information Flow and Real-Time Insights at the “Edge”, In: SSRN Electronic Journal, doi:10.2139/ssrn.4071095
- M. Iyapparaja, M. Sathish Kumar, S. Siva Rama Krishnan, Chiranji Lal Chowdhary, Byungun Yoon, Saurabh Singh, Gi Hwan Cho (2021): FogQSYM: An Industry 4.0 Analytical Model for Fog Applications, In: Computers, Materials & Continua 3(69), doi:10.32604/cmc.2021.017302