290 What are the key factors to consider when selecting hardware platforms for deploying fog nodes with specific performance and power requirements?

Oct 12, 2020 ... A multi-agent distributed ITL control method was proposed based on the fog computing platform and the Q learning algorithm used for the reinforcement learning ... In cloud computing paradigm, event or data will be transmitted to the data center inside core network and result will be sent back to end user after a series of ... networks, public safety broadband networks, fog computing, and quantum computing. ... latency computational resources, elastic capabilities, and data analytics ... Apr 16, 2024 ... Machine learning can be defined as the ability of computers to learn from experience and make decisions or predictions based on the data alone. Similar to fog computing, another extension of cloud computing is edge computing [5]. Some researchers claim fog and edge as the same technology, but some ... Dec 15, 2020 ... One possibility is to create centralized cloud data centers to maintain this large volume of data but this approach will not resolve the problem ... NIST requests public comments on the release of Draft Special Publication 800-191, The NIST Definition of Fog Computing. Managing the data generated by ... Feb 6, 2015 ... ... fog computing, Twitter, YouTube, Internet of Things, Internet of ... informational entropy and the acquisition of germ-like immortality ... proposed a fog-to-cloud data management framework aimed at reducing network traffic [29]. The authors combine data deduplication and lossless ZIP compression to ... ... fog computing. In: 2019 International Conference on Information and Communications Technology (ICOIACT). IEEE, pp 266-270, DOI:10.1109/ICOIACT46704 ...