A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications
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| Názov: | A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications |
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| Autori: | Sabuzima Nayak, Ripon Patgiri, Lilapati Waikhom, Arif Ahmed |
| Zdroj: | Digital Communications and Networks, Vol 10, Iss 3, Pp 783-804 (2024) |
| Publication Status: | Preprint |
| Informácie o vydavateľovi: | Elsevier BV, 2024. |
| Rok vydania: | 2024 |
| Predmety: | I.2, H.3, FOS: Computer and information sciences, Artificial intelligence, Computer Science - Artificial Intelligence, H.2, Information technology, 02 engineering and technology, Edge analytics, Computer Science - Information Retrieval, C.5.1, Big data, Computer Science - Databases, Edge devices, 0202 electrical engineering, electronic engineering, information engineering, C.5.5, Sensor, 68Mxx, Databases (cs.DB), Edge computing, T58.5-58.64, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Information Retrieval (cs.IR) |
| Popis: | Edge technology aims to bring Cloud resources (specifically, the compute, storage, and network) to the closed proximity of the Edge devices, i.e., smart devices where the data are produced and consumed. Embedding computing and application in Edge devices lead to emerging of two new concepts in Edge technology, namely, Edge computing and Edge analytics. Edge analytics uses some techniques or algorithms to analyze the data generated by the Edge devices. With the emerging of Edge analytics, the Edge devices have become a complete set. Currently, Edge analytics is unable to provide full support for the execution of the analytic techniques. The Edge devices cannot execute advanced and sophisticated analytic algorithms following various constraints such as limited power supply, small memory size, limited resources, etc. This article aims to provide a detailed discussion on Edge analytics. A clear explanation to distinguish between the three concepts of Edge technology, namely, Edge devices, Edge computing, and Edge analytics, along with their issues. Furthermore, the article discusses the implementation of Edge analytics to solve many problems in various areas such as retail, agriculture, industry, and healthcare. In addition, the research papers of the state-of-the-art edge analytics are rigorously reviewed in this article to explore the existing issues, emerging challenges, research opportunities and their directions, and applications. Submitted to Elsevier for possible publication |
| Druh dokumentu: | Article |
| Jazyk: | English |
| ISSN: | 2352-8648 |
| DOI: | 10.1016/j.dcan.2022.10.016 |
| DOI: | 10.48550/arxiv.2107.06835 |
| Prístupová URL adresa: | http://arxiv.org/abs/2107.06835 https://doaj.org/article/717617e0b3614bc3a8b0b8859ce49e21 |
| Rights: | CC BY NC ND CC BY |
| Prístupové číslo: | edsair.doi.dedup.....7c8820ba4aa0e0304a5d0c711ee13de8 |
| Databáza: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Edge technology aims to bring Cloud resources (specifically, the compute, storage, and network) to the closed proximity of the Edge devices, i.e., smart devices where the data are produced and consumed. Embedding computing and application in Edge devices lead to emerging of two new concepts in Edge technology, namely, Edge computing and Edge analytics. Edge analytics uses some techniques or algorithms to analyze the data generated by the Edge devices. With the emerging of Edge analytics, the Edge devices have become a complete set. Currently, Edge analytics is unable to provide full support for the execution of the analytic techniques. The Edge devices cannot execute advanced and sophisticated analytic algorithms following various constraints such as limited power supply, small memory size, limited resources, etc. This article aims to provide a detailed discussion on Edge analytics. A clear explanation to distinguish between the three concepts of Edge technology, namely, Edge devices, Edge computing, and Edge analytics, along with their issues. Furthermore, the article discusses the implementation of Edge analytics to solve many problems in various areas such as retail, agriculture, industry, and healthcare. In addition, the research papers of the state-of-the-art edge analytics are rigorously reviewed in this article to explore the existing issues, emerging challenges, research opportunities and their directions, and applications.<br />Submitted to Elsevier for possible publication |
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| ISSN: | 23528648 |
| DOI: | 10.1016/j.dcan.2022.10.016 |