The Use of Cloud Firestore For Handling Real-time Data Updates: An Empirical Study of Gamified Online Quiz

Sukmana, Yuda; Rosmansyah, Yusep

doi:10.1109/cecit53797.2021.00220

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…Thus, it offers greater flexibility. However, it is suggested that the structure of the data in each document should be defined as the same as others so that it can make querying easier [17]. Not only is flexible, but the Firestore database is also expressive querying, allowing the data to be filtered and sorted in a group using an expressive and simple query interface.…”

Section: Firestore Databasementioning

confidence: 99%

“…The query data that are actively used will be cached in the device and they will be able to be written, read, and detected. Upon reconnecting the device to the internet, the data will be synchronized directly [17]. In addition, the Firestore database provides robust security and privacy as it is able to implement authentication and authorization access rules easily by integrating identity and access management (IAM), Web Client SDKs, and Firebase Authentication into the cloud [17].…”

Section: Firestore Databasementioning

confidence: 99%

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Fog Computing-Based System for Decentralized Smart Parking System by Using Firebase

Haposan Yoga Pradika Napitupulu,

I Gde Dharma Nugraha

2024

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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The growth of vehicle number is unavoidable whilst the availability of parking is not directly proportional with this condition. Nowadays, many shopping centers do not have sufficient parking spot, causing customers to have difficulty in finding available parking spots. Research has been conducted to tackle the issue of finding available parking spots. Much of this research proposed the narrowband-Internet of things (NB-IoT) as a fog node. For communication purposes, this NB-IoT-based fog node has some shortcomings, such as security and privacy, lower data rate, higher cost in development, dependency with wireless system, and only covers one area. In this research, the fog computing was proposed to decentralize smart parking system by using Firebase to cover several areas or malls in one system and interface. Instead of using NB-IoT, this research employed decentralized local server as a fog node to deliver a fast data exchange. Firestore database (Firebase) was also used to secure, manage, and analyze the data in the cloud. Conjunctively, the Android application was created as a user interface to book and find the availability of parking spots. The Android application was built using Android Studio and implemented authentication to keep the data access secure and private. The testing scenario was done following the design unified modeling language (UML). The research results confirmed that the fog computing system successfully supported the decentralized smart parking system and was able to be implemented for covering several areas or malls in one system.

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Section: Firestore Databasementioning

confidence: 99%

Section: Firestore Databasementioning

confidence: 99%