A High Performance Memory Key-Value Database Based on Redis

Liu, Qian

doi:10.17706/jcp.14.3.170-183

Cited by 17 publications

(4 citation statements)

References 12 publications

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“…Abandoned models can make it easier for us to achieve high performance and expand storage in the system. It does not provide value operations, and the keyvalue database is mainly used for primary key access operations [17,18].…”

Section: Sound Source Localization Methods For the Nosql Databasementioning

confidence: 99%

Monitoring Simulation of Athlete Dynamic Injury Based on NoSQL Database and Localization Algorithm

Cheng

Qian

et al. 2022

Mobile Information Systems

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This article analyzes NoSQL databases, including three NoSQL data models, and analyzes the principles of two NoSQL representative products, Redis and MongoDB. Secondly, dynamic damage monitoring was introduced into the development of a Redis-based question-and-answer system. After proper improvement, certain noise and reverberation can also have relatively good positioning accuracy, which can be widely used in the system. The identification and classification of damage are based on the corresponding standards of the sports federation’s damage monitoring system. Through expert interviews and investigations, the effectiveness and adequacy of physiological and biochemical indicator monitoring are understood to ensure a better evaluation of athletes’ performance indicators. The method of experimental observation was used to monitor the physical function of athletes. During winter training, indicators were monitored, data were recorded, test conditions were recorded, and dynamic injury monitoring mathematical statistics were used for experimental analysis to objectively evaluate the physiological and biochemical indicators of athletes. This article mainly introduces the NoSQL database and sound source localization to dynamic damage monitoring so as to promote its continuous development.

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Section: Sound Source Localization Methods For the Nosql Databasementioning

confidence: 99%

Monitoring Simulation of Athlete Dynamic Injury Based on NoSQL Database and Localization Algorithm

Cheng

Qian

et al. 2022

Mobile Information Systems

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“…These databases are called NoSQL databases. Unlike relational databases, NoSQL databases have multiple types: key-value databases (e.g., LevelDB [ 27 ], BerkeleyDB [ 28 ], Redis [ 29 ]), column-oriented databases (e.g., Bigtable [ 30 ], Apache HBase [ 31 ]), document-oriented databases (e.g., MongoDB [ 32 ]), graph databases (e.g., Neo4j [ 33 ]), time series databases (e.g., InfluxDB [ 34 ]) and so on. NewSQL databases .…”

Section: Preliminariesmentioning

confidence: 99%

A Survey on the Integration of Blockchains and Databases

Zhu

Zhong

et al. 2023

Data Sci. Eng.

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The success of blockchain technology in cryptocurrencies reveals its potential in the data management field. Recently, there is a trend in the database community to integrate blockchains and traditional databases to obtain security, efficiency, and privacy from the two distinctive but related systems. In this survey, we discuss the use of blockchain technology in the data management field and focus on the fusion system of blockchains and databases. We first classify existing blockchain-related data management technologies by their locations on the blockchain-database spectrum. Based on the taxonomy, we discuss three types of fusion systems and analyze their design spaces and trade-offs. Then, by further investigating the typical systems and techniques of each type of fusion system and comparing the solutions, we provide insights of each fusion model. Finally, we outline the unsolved challenges and promising directions in this field and believe that fusion systems will take a more important role in data management tasks. We hope this survey can help both academia and industry to better understand the advantages and limitations of blockchain-related data management systems and develop fusion systems that meet various requirements in practice.

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“…Sementara itu, pengelola dapat mengelola data sampah yang masuk pada bank sampah di daerah tempat tinggal pengelola, data yang dapat dikelola antara lain data profil para nasabah di dalam bank sampah tersebut, data setoran sampah dari masing-masing nasabah, hingga transaksi masuk dan keluar para nasabah [15]. Pengelola juga dapat mengunduh data pengelolaan sampah dalam kurun waktu yang telah ditentukan secara praktis dan mudah [16].…”

Section: Pendahuluanunclassified

Penerapan Database Redis Sebagai Optimalisasi Pemrosesan Kueri Data Pengguna Aplikasi SIRESMA Berbasis Laravel

Nur Ramadhan,

Saraswati

2023

TMJ

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Penelitian ini mengevaluasi penggunaan basis data Redis dalam aplikasi SIRESMA berbasis Laravel untuk mengatasi masalah keterlambatan pemrosesan kueri data. Hasil pengujian menunjukkan bahwa implementasi Redis telah berhasil meningkatkan signifikan kecepatan akses sebagian besar endpoint API, dengan total peningkatan waktu respons sekitar 6,74%. Namun, perlu diperhatikan bahwa ada beberapa endpoint tertentu yang mengalami penurunan performa, yang mengindikasikan bahwa penggunaan Redis harus disesuaikan dengan karakteristik data dan penggunaan aplikasi untuk mendapatkan hasil yang optimal. Sementara itu, penelitian mendatang dapat mempertimbangkan alat diagnosis kueri yang lebih rinci dan alternatif lain untuk meningkatkan performa aplikasi.

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A High Performance Memory Key-Value Database Based on Redis

Cited by 17 publications

References 12 publications

Monitoring Simulation of Athlete Dynamic Injury Based on NoSQL Database and Localization Algorithm

Monitoring Simulation of Athlete Dynamic Injury Based on NoSQL Database and Localization Algorithm

A Survey on the Integration of Blockchains and Databases

Penerapan Database Redis Sebagai Optimalisasi Pemrosesan Kueri Data Pengguna Aplikasi SIRESMA Berbasis Laravel

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