A blockchain-based adaptive middleware for large scale internet of things data storage selection

Abstract In this paper, the design and performance differences between Relational Database Management Systems (RDBMS) and NoSQL Database Systems are examined, with attention to their applicability for real-world Internet of Things for manufacturing (IoTfM) data. While previous work has extensively compared SQL and NoSQL for both generalized and IoT uses, this work specifically examines the tradeoffs and performance differences for manufacturing applications by using a high-fidelity data set collected from a large US manufacturing firm. Growing an IoT system beyond the pilot stage requires scalable data storage; this work seeks to determine the impact of selected database systems on data write performance at scale. Payload size and message frequency were used as the primary characteristics to maintain model fidelity in simulated clients. As the number of simulated asset clients grow, the data write latency was calculated to determine how both database systems’ performance were affected. To isolate the RDBMS and NoSQL differences, a cloud environment was created using Amazon Web Services (AWS) with two identical data ingestion pipelines: writing data to an RDMBS (1) using AWS Aurora MySQL, and (2) using AWS DynamoDB NoSQL. The findings may provide guidance for further experimentation in large-scale manufacturing IoT implementations.

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BlockAM: An Adaptive Middleware for Intelligent Data Storage Selection for Internet of Things

2020 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS) ◽

10.1109/dapps49028.2020.00007 ◽

2020 ◽

Author(s):

Syed Muhammad Danish ◽

Kaiwen Zhang ◽

Hans-Arno Jacobsen

Keyword(s):

Internet Of Things ◽

Data Storage ◽

Adaptive Middleware ◽

Selection For

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Structural Health Monitoring Cloud and its Applications for Large-Scale Infrastructures

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.330.418 ◽

2013 ◽

Vol 330 ◽

pp. 418-425

Author(s):

Cheng Ming Lan ◽

Wen Feng Liu

Keyword(s):

Structural Health Monitoring ◽

Internet Of Things ◽

Data Storage ◽

Health Monitoring ◽

Large Scale ◽

Structural Integrity ◽

Technical Characteristic ◽

Professional Organization ◽

Structural Safety ◽

Structural Health

The concept and framework about Structural Health Monitoring Cloud (SHMC) for data management, data storage, safety warning and structural safety assessment are established in this paper based on the fusions of cloud computing, internet of things (IOT), and structural health monitoring (SHM). SHM plays a significant role in modern infrastructure because it provides a means to assess structural integrity online, eliminate manual inspections and may result in a transition from time-to condition-based maintenance. Also, there are many difficulties to deal with the huge amounts data for the owner of infrastructure. So the new ideas of SHMC which is provided and realized by the third part professional organization are proposed in this paper. Based on the summary of the technical characteristic of internet of things for structural health monitoring, the system requirements, architecture, and advantages of SHMC are described, and then the statues of related technology research were reviewed. The data mining and damage detection programs are embedded in SHMC platform and all collected data from acquisition system would be processed and then be used to assess the safety of infrastructures. Finally, actual applications of SHMC for large-scale infrastructures are illustrated.

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PENGGUNAAN INTERNET OF THINGS DALAM PEMASARAN PRODUK PERTANIAN

Jurnal Sistem Komputer Musirawas (JUSIKOM) ◽

10.32767/jusikom.v3i2.367 ◽

2018 ◽

Vol 3 (2) ◽

pp. 74

Author(s):

Helina Apriyani ◽

Sismadi Sismadi ◽

Sefrika Sefrika

Keyword(s):

Cloud Computing ◽

Internet Of Things ◽

Data Storage ◽

Electronic Devices ◽

Agricultural Products ◽

Main Concept ◽

Farmers Market ◽

Incremental Method ◽

Sales Process ◽

Internet Connections

AbstrakInternet of things (IoT) adalah sebuah konsep yang menghubungkan komputer dan perangkat elektronik melalui internet dan dapat dikendalikan dari jarak jauh. Konsep terpenting dalam Internet of things (Iot) adalah modul sistem informasi, koneksi internet dan penyimpanan datanya dalam cloud computing. Konsep ini memiliki manfaat besar dalam perkembangan usaha dan kelangsungan bisnis perusahaan dimana hampir semua bidang menggunakan IoT untuk dapat bersaing di pasaran. Indonesia merupakan sebuah negara yang dianugerahi kekayaan alam yang melimpah ruah. Salah satu komoditi unggulan adalah produk pertanian. Penelitian ini bertujuan untuk membantu para petani dalam memasarkan produknya melalui e-commerce dengan menggunakan konsep Internet of things IoT. Metode penelitian dengan menggunakan metode incremental. Incremental digunakan untuk mendesai produk, kemudian diimplementasikan, dan diuji secara bertahap (setiap modul akan ditambahkan bertahap) hingga produk selesai. Hasil penelitian ini digunakan untuk membantu petani di Kabupaten Bogor untuk mendistribusikan penjualannya secara luas, meningkatkan revenue dan memutus rantai panjang proses penjualan. Kata kunci— sistem penjualan, incremental, Internet of Things (IoT), produk pertanian, Kabupaten Bogor Abstract Internet of things (IoT) is a concept that connects computers and electronic devices via the internet and can be controlled remotely. The main concept in Internet of things (IoT) is information systems, internet connections and data storage in cloud computing. This concept has great benefits in the efforts and efforts used to use IoT to be able to compete in the market. Indonesia is a country that is blessed with abundant natural resources. One of the leading commodities is agricultural products. This study aims to help farmers market their products through e-commerce using the IoT Internet of things concept. Research method using incremental method. Incremental to design the product, then implemented, and gradually delay (each module will be added gradually) until the product is finished. The results of this study are to help farmers in Bogor Regency to distribute sales widely, increase revenue and break the sales process. Keywords—sales system, incremental, Internet of Things (IoT), agricultural products, Kabupaten Bogor

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