scholarly journals Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things

2019 ◽  
Vol 4 (2) ◽  
pp. 185
Author(s):  
Rakhmadhany Primananda ◽  
Reza Andria Siregar ◽  
Mochamad Atha
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Data Center ◽  
Access Time ◽  
Management Service ◽  
Access Management ◽  
User Requirement ◽  
Storage Media ◽  
And Performance ◽  
Use Of Internet

The widespread use of Internet of Things (IoT) has effect in a growing number of hardware devices that can be controlled and monitored using a variety of applications. It affects the amount of data that must be collected to be analyzed and processed according to user requirement. The greater the data collected results in requirement of storage media that has access management and scalability that are effective and efficient. The data collected in cloud-based infrastructure namely Openstack. Implementation in this research by involving two physical device of server as main infrastructure that located in network of Faculty of Computer Science, Brawijaya University Malang which used as controller node and compute node. Controller can adapt to the use of various dashboard and provide a good access management service for users to request and create instances in Openstack. The resulting data center shows good performance based on scalability, access, and performance of data transmission from IoT sensors. The test is done gradually by adding requirement of compute nodes up to 24 VCPU, 48 GB of RAM, and 235 GB of HD storage in registered instances. Access at the data center can be done either from faculty internal network (private) and faculty external network (public) with access time under 100 ms.

scholarly journals PRICHAIN: A Partially Decentralized Implementation of UbiPri Middleware Using Blockchain

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4483 ◽  
Author(s):  
Iago Sestrem Ochôa ◽  
Luis Augusto Silva ◽  
Gabriel de Mello ◽  
Bruno Alves da Silva ◽  
Juan Francisco de Paz ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Personal Information ◽  
Distributed Storage ◽  
The Internet ◽  
Storage Security ◽  
User Data ◽  
And Performance ◽  
The Internet Of Things ◽  
Different Levels

With the popularization of the Internet-of-Things, various applications have emerged to make life easier. These applications generate a large amount of user data. Analyzing the data obtained from these applications, one can infer personal information about each user. Considering this, it is clear that ensuring privacy in this type of application is essential. To guarantee privacy various solutions exist, one of them is UbiPri middleware. This paper presents a decentralized implementation of UbiPri middleware using the Ethereum blockchain. Smart contracts were used in conjunction with a communication gateway and a distributed storage service to ensure users privacy. The results obtained show that the implementation of this work ensures privacy at different levels, data storage security, and performance regarding scalability in the Internet of Things environments.

SQL and NoSQL Databases for Cyber Physical Production Systems in Internet of Things for Manufacturing (IoTfM)

2021 ◽  
Author(s):  
David Gamero ◽  
Andrew Dugenske ◽  
Thomas Kurfess ◽  
Christopher Saldana ◽  
Katherine Fu
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Large Scale ◽  
Production Systems ◽  
Database Systems ◽  
Data Set ◽  
Manufacturing Firm ◽  
Performance Differences ◽  
And Performance ◽  
The Impact

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.

PENGGUNAAN INTERNET OF THINGS DALAM PEMASARAN PRODUK PERTANIAN

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

New Trends in Digital Data Storage for the Internet of Things

2018 ◽  
Vol 6 (3) ◽  
pp. 359-363
Author(s):  
A. Saxena ◽  
◽  
S. Sharma ◽  
S. Dangi ◽  
A. Sharma ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Digital Data ◽  
The Internet ◽  
Digital Data Storage ◽  
The Internet Of Things

Web Service Implementation in Logistics Company uses JSON Web Token and RC4 Cryptography Algorithm

2020 ◽  
Vol 4 (3) ◽  
pp. 591-600
Author(s):  
Mochammad Rizky Royani ◽  
Arief Wibowo
Keyword(s):  
Web Service ◽  
Data Storage ◽  
Growth Potential ◽  
Easy Access ◽  
Access Time ◽  
Mobile Platforms ◽  
Logistics Service ◽  
Authentication Mechanism ◽  
Cryptographic Algorithm ◽  
Service Application

The development of e-commerce in Indonesia in the last five years has significantly increased the growth for logistics service companies. The Indonesian Logistics and Forwarders Association (ALFI) has predicted the growth potential of the logistics business in Indonesia to reach more than 30% by 2020. One of the efforts of logistics business companies to improve services in the logistics services business competition is to implement web service technology on mobile platforms, to easy access to services for customers. This research aims to build a web service with a RESTful approach. The REST architecture has limitations in the form of no authentication mechanism, so users can access and modify data. To improve its services, JSON Web Token (JWT) technology is needed in the authentication process and security of access rights. In terms of data storage and transmission security, a cryptographic algorithm is also needed to encrypt and maintain confidentiality in the database. RC4 algorithm is a cryptographic algorithm that is famous for its speed in the encoding process. RC4 encryption results are processed with the Base64 Algorithm so that encrypted messages can be stored in a database. The combination of the RC4 method with the Base64 method has strengthened aspects of database security. This research resulted in a prototype application that was built with a combination of web service methods, JWT and cryptographic techniques. The test results show that the web service application at the logistics service company that was created can run well with relatively fast access time, which is an average of 176 ms. With this access time, the process of managing data and information becomes more efficient because before making this application the process of handling a transaction takes up to 20 minutes.

Weight-Loss Program Assistance System for Obesity Patients Based on Internet of Things (IoT) Technology

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
I Gusti Bagus Astawa ◽  
I Ketut Agung Enriko
Keyword(s):  
Weight Loss ◽  
Internet Of Things ◽  
Mobile Application ◽  
Human Life ◽  
Weight Loss Program ◽  
Internet Technology ◽  
Healthcare Sector ◽  
Home Automation ◽  
Index Terms ◽  
Use Of Internet

These days, the use of Internet technology can be found in almost every sector of human life. One of the advanced Internet technologies is Internet of Things (IoT), that is a technology where devices can communicate via Internet connectivity. It is used in many vital industries like automotive, electricity, home automation, and healthcare. This study aims to implement IoT technology for healthcare sector, i.e. in helping obesity people to pursue their weight-loss program (WLP). The result is a system which consists of a smart weight scale, a mobile application, and food menu recommendation database in order to help obesity people in their WLP program. A trial to some obesity patients is performed to collect data. Index Terms—Internet of things; overweight; weight loss program; food recommendation

Internet of things-based smart wearable system to monitor sports person health

2021 ◽  
pp. 1-14
Author(s):  
Fen Li ◽  
Oscar Sanjuán Martínez ◽  
R.S. Aiswarya
Keyword(s):  
Internet Of Things ◽  
Experimental Result ◽  
Wearable System ◽  
Wearable Systems ◽  
Trading Decisions ◽  
Time Basis ◽  
And Performance ◽  
Individual Sports ◽  
Smart Wearable ◽  
The Internet Of Things

BACKGROUND: The modern Internet of Things (IoT) makes small devices that can sense, process, interact, connect devices, and other sensors ready to understand the environment. IoT technologies and intelligent health apps have multiplied. The main challenges in the sports environment are playing without injuries and healthily. OBJECTIVE: In this paper the Internet of Things-based Smart Wearable System (IoT-SWS) is introduced for monitoring sports person activity to improve sports person health and performance in a healthy way. METHOD: Wearable systems are commonly used to capture individual sports details on a real-time basis. Collecting data from wearable devices and IoT technologies can help organizations learn how to optimize in-game strategies, identify opponents’ vulnerabilities, and make smarter draft choices and trading decisions for a sportsperson. RESULTS: The experimental result shows that IoT-SWS achieve the highest accuracy of 98.22% and efficient in predicting the sports person’s health to improve sports person performance reliably.

scholarly journals Promiscuous molecules for smarter file operations in DNA-based data storage

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kyle J. Tomek ◽  
Kevin Volkel ◽  
Elaine W. Indermaur ◽  
James M. Tuck ◽  
Albert J. Keung
Keyword(s):  
Data Storage ◽  
Data Access ◽  
Molecular Architecture ◽  
Biomolecular Structure ◽  
Jpeg Images ◽  
Storage Media ◽  
Dna Storage ◽  
Dna Strands ◽  
Background Database ◽  
Organizational Features

AbstractDNA holds significant promise as a data storage medium due to its density, longevity, and resource and energy conservation. These advantages arise from the inherent biomolecular structure of DNA which differentiates it from conventional storage media. The unique molecular architecture of DNA storage also prompts important discussions on how data should be organized, accessed, and manipulated and what practical functionalities may be possible. Here we leverage thermodynamic tuning of biomolecular interactions to implement useful data access and organizational features. Specific sets of environmental conditions including distinct DNA concentrations and temperatures were screened for their ability to switchably access either all DNA strands encoding full image files from a GB-sized background database or subsets of those strands encoding low resolution, File Preview, versions. We demonstrate File Preview with four JPEG images and provide an argument for the substantial and practical economic benefit of this generalizable strategy to organize data.

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