Edge / Fog Analytics for IoT Architectures
Fog computing is an architecture that uses one or more collaborative multitude of end-user clients or near-user edge devices to carry out a substantial amount of storage (rather than stored primarily in cloud data centers), communication (rather than routed over the internet backbone), control, configuration, measurement and management. The fog extends the cloud to be closer to the things that produce and act on IoT data. These devices, called fog nodes, can be deployed anywhere with a network connection: on a factory floor, on top of a power pole, alongside a railway track, in a vehicle, or on an oil rig. Any device with computing, storage, and network connectivity can be a fog node. Examples include industrial controllers, switches, routers, embedded servers, and video surveillance cameras.
Analyzing IoT data close to where it is collected minimizes latency. It offloads gigabytes of network traffic from the core network. And it keeps sensitive data inside the network. It also increase privacy and security as it avoids centralized data storage or redundant network communication.
The Engineering and Physical Sciences Research Council (EPSRC) is a British Research Council that provides government funding for grants to undertake research and postgraduate degrees in engineering and the physical sciences, mainly to universities in the United Kingdom.
The Commonwealth Scientific and Industrial Research Organisation (CSIRO) is an independent Australian federal government agency responsible for scientific research.
The Australian National University (ANU) is a national research university located in Canberra, the capital of Australia.
Book Chapter Muhammad Habib ur Rehman, Prem Prakash Jayaraman, Charith Perera, The Emergence of Edge-centric Distributed IoT Analytics Platforms, In Book Internet of Things Concepts, Technologies, Applications, and Implementations, CRC Press, Taylor & Francis Group , USA, 2017
Journal Devinder Kaur, Gagangeet Singh Aujla, Neeraj Kumar, Albert Y Zomaya, Charith Parera, Rajiv Ranjan, Tensor-based Big Data Management Scheme for Dimensionality Reduction Problem in Smart Grid Systems: SDN Perspective, IEEE Transactions on Knowledge and Data Engineering (TKDE) , Volume pp, Issue p, Pages pp-pp, 2018
Journal Chen Xu, Junhao Feng, Zhenyu Zhou, Jun Wu, Charith Perera, Cross-Layer Optimization for Cooperative Content Distribution in Multihop Device-to-Device Networks, IEEE Internet of Things Journal (IOTJ) , Volume pp, Issue p, Pages pp-pp, 2017 (8)
Journal Charith Perera, Yongrui Qin, Julio C. Estrella, Stephan Reiff-Marganiec, Athanasios V. Vasilakos, Fog Computing for Sustainable Smart Cities: A Survey, ACM Computing Surveys (CSUR), Volume 50, Issue 3, Pages 32:1-32:43, 2017
Journal Charith Perera, Dumidu Talagala, Chi Harold Liu, Julio C. Estrella, Energy Efficient Location and Activity-aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds, IEEE Transactions on Computational Social Systems (TCSS), Volume 2, Issue 4, Pages 171-181, 2015 (11)
Journal Ozgur Yurur, Chi Harold Liu, Charith Perara, Min Chen, Xue Liu, and Wilfrido Moreno,
Energy-Efficient and Context-Aware Smartphone Sensor Employment, IEEE Transactions on Vehicular Technology (TVT), Volume 64, Issue 6, 2015, Pages 4230-4244 (14)
Conference Badraddin Alturki, Stephan Reiff-Marganiec, Charith Perera, A Hybrid Approach for Data Analytics for Internet of Things, Proceedings of the 7th ACM International Conference on the Internet of Things (IOT) , Linz, Austria, October 2017, Pages 7:1--7:8 (8)