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.

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Outcomes

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

Badraddin Alturki, Stephan Reiff-Marganiec, Charith Perera, and Suparna De, Exploring the Effectiveness of Service Decomposition in Fog Computing Architecture for the Internet of Things, IEEE Transactions on Sustainable Computing (TSUS), Volume 7, Number 2, 299-312, April-June 2022 (14)

Journal

Gaby Bou Tayeh, Abdallah Makhoul, Charith Perera, Jacques Demerjian, A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks, IEEE Access (ACCESS), Volume 7, Pages 50669 - 50680, 2019

Journal

Muhammad Habib ur Rehman, Ibrar Yaqoob, Khaled Salah, Muhammad Imran, Prem Prakash Jayaraman, Charith Perera, The Role of Big Data Analytics in Industrial Internet of Things, Future Generation Computer Systems (FGCS) , Volume 99, Pages 247-259, 2019

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 30, Issue 12, Pages 1985 - 1998, 2018 (14)

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 6, Issue 1, Pages 278-287, 2017 (10)

Journal

Smart Audio Sensors in the Internet of Things Edge for Anomaly Detection, IEEE Access (ACCESS), Volume 6, Pages 67594-67610, 2018 (17)

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)