Proceedings Article10.1109/ICTC.2018.8539664
Cloud-Edge Collaboration Framework for IoT data analytics
Jaewon Moon,Sangyeon Cho,Seungweoo Kum,Sang-Won Lee +3 more
- 01 Oct 2018
- pp 1414-1416
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TL;DR: A new framework structure that can analyze IoT data by distributing analysis role is proposed and designed to maximize the resources of the cloud to generate the model and to use the model at the edge to enable immediate and instantaneous actuator operation.
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Abstract: In recent years, big data analysis from Internet of Things (IoT) has been getting more attention. Several cloud platforms have provided machine learning service with a pre-trained model to understand IoT data. However, it is necessary to transfer personal data in order to use the cloud service, and network problems might be preventing the customer from getting analysis results at an appropriate time. To overcome these problems, data and analysis task are moving to the edge platform. However, most edge devices do not have enough capacity to process and train large amounts of data. In this paper, we propose a new framework structure that can analyze IoT data by distributing analysis role. The proposed framework is designed to maximize the resources of the cloud to generate the model and to use the model at the edge to enable immediate and instantaneous actuator operation. And we also present a case study to verify this framework.
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Citations
Internet of Things 2.0: Concepts, Applications, and Future Directions
Ian Zhou,Imran Makhdoom,Negin Shariati,Muhammad Raza,Rasool Keshavarz,Justin Lipman,Mehran Abolhasan,Abbas Jamalipour +7 more
TL;DR: In this article, the authors discuss the evolution of the Internet of Things and present the vision for IoT 2.0 development across seven major fields including machine learning intelligence, mission critical communication, scalability, energy harvesting-based energy sustainability, interoperability, user friendly IoT, and security.
Blockchain on Security and Forensics Management in Edge Computing for IoT: A Comprehensive Survey
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A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications.
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Artificial Intelligence and Machine Learning Applications in Cloud Computing and Internet of Things
Mamata Rath,Jyotirmaya Satpathy,George S. Oreku +2 more
- 01 Jan 2021
TL;DR: A detail analytical review on various challenges faced by ML and AI when applied in IoT and Cloud computing platforms is illustrated.
15
Energy Minimization Task Offloading Mechanism with Edge-Cloud Collaboration in IoT Networks
Xunzheng Zhang,Haixia Zhang,Xiaotian Zhou,Dongfeng Yuan +3 more
- 25 Apr 2021
TL;DR: A time delay penalty mechanism, which searches the optimal power for edge to cloud task offloading under given delay constraint, is proposed, and a low complexity edge-cloud matching algorithm leveraging the bipartite matching method is developed, to further minimize the execution energy consumption of all devices.
13
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