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An Edge Computing Storage and Distributed Data-Driven Bridging Framework for Smart Agriculture Using Clustered InterPlanetary File System (IPFS)

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2023)

Abstract

IoT devices in smart farming have limited storage and security issues. Transmitting large data to the cloud is a challenge. To mitigate these obstacles, a promising solution has emerged: distributed storage media systems. This study presents a novel storage bridging framework concept referred to as INJETBLOCK. The framework comprises a distributed storage media system that leverages the InterPlanetary File System (IPFS) to manage diverse data file types, including raw data, images, texts, and videos. It can run on a simple edge computing device using a Docker container. It is designed to perform distributed storage functions and several microservices for various development needs. This research focuses on utilizing the InterPlanetary File System in combination with GlusterFS to create a reliable and adaptable data-archiving system capable of managing diverse data formats. A key aspect of the proposed framework is its incorporation of multiple virtual machine nodes that work together as a distributed storage swarm. The test was completed successfully after uploading and downloading various types of files, such as text documents, images, and videos of different file sizes within unique identifiers. INJETBLOCK is designed to enhance the security of data archiving systems on edge computing devices and allow for data replication across multiple nodes in a secure computing environment.

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Correspondence to Irawan Widi Widayat .

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Widayat, I.W., Mantau, A.J., Köppen, M. (2023). An Edge Computing Storage and Distributed Data-Driven Bridging Framework for Smart Agriculture Using Clustered InterPlanetary File System (IPFS). In: Barolli, L. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-031-40971-4_15

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