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1

Osemwegie, Omoruyi, Kennedy Okokpujie, Nsikan Nkordeh, Charles Ndujiuba, Samuel John, and Uzairue Stanley. "Performance Benchmarking of Key-Value Store NoSQL Databases." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 5333. http://dx.doi.org/10.11591/ijece.v8i6.pp5333-5341.

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<p>Increasing requirements for scalability and elasticity of data storage for web applications has made Not Structured Query Language NoSQL databases more invaluable to web developers. One of such NoSQL Database solutions is Redis. A budding alternative to Redis database is the SSDB database, which is also a key-value store but is disk-based. The aim of this research work is to benchmark both databases (Redis and SSDB) using the Yahoo Cloud Serving Benchmark (YCSB). YCSB is a platform that has been used to compare and benchmark similar NoSQL database systems. Both databases were given va
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Zhou, Peng, Mei Li, Jing Huang, and Hua Fang. "Research on Database Schema Comparison of Relational Databases and Key-Value Stores." Advanced Materials Research 1049-1050 (October 2014): 1860–63. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1860.

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With the rapid development of Internet technology, the management capacity of traditional relational databases becomes relatively inefficient when facing the access and processing of big data. As a kind of non-relational databases, the key-value stores, with its high scalability, provide an efficient solution to the problem. This article introduces the concept and features of Key-Value stores, and followed by the comparison with the traditional relational databases, and an example is illustrated to explain its typical application and finally the existing problems of Key-Value stores are summar
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Iliakis, Konstantinos, Konstantina Koliogeorgi, Antonios Litke, Theodora Varvarigou, and Dimitrios Soudris. "GPU accelerated blockchain over key‐value database transactions." IET Blockchain 2, no. 1 (2022): 1–12. http://dx.doi.org/10.1049/blc2.12011.

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Dourhri, Ahmed, Mohamed Hanine, and Hassan Ouahmane. "KVMod—A Novel Approach to Design Key-Value NoSQL Databases." Information 14, no. 10 (2023): 563. http://dx.doi.org/10.3390/info14100563.

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The growth of structured, semi-structured, and unstructured data produced by the new applications is a result of the development and expansion of social networks, the Internet of Things, web technology, mobile devices, and other technologies. However, as traditional databases became less suitable to manage the rapidly growing quantity of data and variety of data structures, a new class of database management systems named NoSQL was required to satisfy the new requirements. Although NoSQL databases are generally schema-less, significant research has been conducted on their design. A literature
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송경태 and Sanghyun Park. "A Recent Trend of Database for Big Data Handling using Key-value database." Journal of Knowledge Information Technology and Systems 12, no. 1 (2017): 47–57. http://dx.doi.org/10.34163/jkits.2017.12.1.005.

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Wang, Jiangning, Congtian Lin, Yan Han, and Liqiang Ji. "Discussion of the Method for Constructing Animal Traits." Biodiversity Information Science and Standards 2 (April 25, 2018): e26168. https://doi.org/10.3897/biss.2.26168.

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Trait data in biology can be extracted from text and structured for reuse within and across taxa. For example, body length is one trait applicable to many species and "body length is about 170 cm" is one trait data point for the human species. Trait data can be used in more detailed analyses to describe species evolution and development processes, so it has begun to be valued by more than taxonomists. The EOL (Encyclopedia of Life) TraitBank provides an example of a trait database. Current trait databases are in their infancy. Most are based on morphological data such as shape, color, structur
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Liu, Qian. "A High Performance Memory Key-Value Database Based on Redis." Journal of Computers 14, no. 3 (2019): 170–83. http://dx.doi.org/10.17706/jcp.14.3.170-183.

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8

Kelly, Terence. "Crashproofing the Original NoSQL Key-Value Store." Queue 19, no. 4 (2021): 5–18. http://dx.doi.org/10.1145/3487019.3487353.

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This episode of Drill Bits unveils a new crash-tolerance mechanism that vaults the venerable gdbm database into the league of transactional NoSQL data stores. We'll motivate this upgrade by tracing gdbm's history. We'll survey the subtle science of crashproofing, navigating a minefield of traps for the unwary. We'll arrive at a compact and rugged design that leverages modern file-system features, and we'll tour the production-ready implementation of this design and its ergonomic interface.
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Fruth, Michael, and Stefanie Scherzinger. "Live Patching for Distributed In-Memory Key-Value Stores." Proceedings of the ACM on Management of Data 2, no. 6 (2024): 1–26. https://doi.org/10.1145/3698816.

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Providers of high-availability data stores need to roll out software updates without causing noticeable downtimes. For distributed data stores like Redis Cluster, the state-of-the-art is a rolling update, where the nodes are restarted in sequence. This requires preserving, restoring, and resynchronizing the database state, which can significantly prolong updates for larger memory states, and thus delay critical security fixes. In this article, we propose applying software updates directly in memory without restarting any nodes. We present the first fully operational live patching solution for
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10

Malykh, Mikhail D., Anton L. Sevastianov, and Leonid A. Sevastianov. "About Symbolic Integration in the Course of Mathematical Analysis." Computer tools in education, no. 4 (December 28, 2019): 94–106. http://dx.doi.org/10.32603/2071-2340-2019-4-94-106.

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The work of transforming a database from one format periodically appears in different organizations for various reasons. Today, the mechanism for changing the format of relational databases is well developed. But with the advent of new types of database such as NoSQL, this problem was exacerbated due to the radical difference in the way data was organized. This article discusses a formalized method based on set theory, at the choice of the number and composition of collections for a key-value type database. The initial data are the properties of the objects, information about which is stored i
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Jeelani, Ahmed. "A NOVEL REDIS SECURITY BEST PRACTICES FOR NOSQL DATABASES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 3 (2016): 729–36. https://doi.org/10.5281/zenodo.48348.

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In last decades of years the field of databases has emerged. The organizations are migrating towards Non-Relational databases from Relational Databases due to the current trend of Big Data, Big Users and Cloud Computing. Business data processing is the main market of Relational Databases. It turns out to be harder to managing Big Clients and Big information on a cloud domain. To modeling the data these databases uses a rigid and schema based approach and are designed to run on a single machine and NoSQL (Not Only SQL) database provides, flexible data model, dynamic schemas, efficient big data
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Revathi S, Thanga, N. Ramaraj, and S. Chithra. "Tracy–Singh Product and Genetic Whale Optimization Algorithm for Retrievable Data Perturbation for Privacy Preserved Data Publishing in Cloud Computing." Computer Journal 63, no. 2 (2019): 239–53. http://dx.doi.org/10.1093/comjnl/bxz101.

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Abstract This paper proposes a retrievable data perturbation model for overcoming the challenges in cloud computing. Initially, genetic whale optimization algorithm (genetic WOA) is developed by integrating genetic algorithm (GA) and WOA for generating the optimized secret key. Then, the input data and the optimized secret key are given to the Tracy–Singh product-based model for transforming the original database into perturbed database. Finally, the perturbed database can be retrieved by the client, if and only if the client knows the secret key. The performance of the proposed model is analy
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Mahajan, Madhuri, and Sonal Patil. "Optimization of Association Rule in Horizontally Distributed Database using Unique Key Value." International Journal of Computer Applications 139, no. 8 (2016): 1–3. http://dx.doi.org/10.5120/ijca2016909218.

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Nguyen, Thanh Trung, and Minh Hieu Nguyen. "Zing Database: high-performance key-value store for large-scale storage service." Vietnam Journal of Computer Science 2, no. 1 (2014): 13–23. http://dx.doi.org/10.1007/s40595-014-0027-4.

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15

Bartoszek, Adrian. "Comparative analysis of database types in mobile applications running on the Android operating system." Journal of Computer Sciences Institute 31 (June 30, 2024): 82–88. http://dx.doi.org/10.35784/jcsi.5915.

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The article focused on conducting a detailed comparative analysis of the different types of databases used in mobile applications on the Android platform. The research included four main types of databases: relational (SQLite), key-value (SnappyDB), object-oriented (ObjectBox) and non-relational (Couchbase Lite). The analysis focused on four key operations: writing, reading, editing and deleting data. In addition, the work evaluated each database type in terms of resource consumption, such as RAM and CPU. This research aimed to provide a comprehensive perspective on the performance and efficie
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Sofiia, Materynska, Yaremenko Vadym, and Rogoza Walery. "A theoretically proposed algorithm in a decision tree format for choosing an efficient storage type of large datasets." Technology audit and production reserves 1, no. 2(63) (2022): 6–9. https://doi.org/10.15587/2706-5448.2022.251281.

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<em>The object of research is methods and approaches to improve storage efficiency and optimize access to large amounts of data. The importance of this study consists in the wide dissemination of big data and the need for the right selection of technologies that will help improve the efficiency of big data processing systems. The complexity of the choice is caused by the large number of different data storages and databases that are available now, so the best decision requires a deep understanding of the advantages, disadvantages and features of each</em><em>.</em><em>&nbsp;And the difficulty
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Shastri, Harshal, Vatika Sharma, and Vinitkumar Gupta. "Big Data using KV-Store Databases." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 12 (2017): 104. http://dx.doi.org/10.23956/ijarcsse.v7i12.551.

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Big Data is a collection of datasets which are large and complex. Datasets can be structured or unstructured which gets input from various sources. KV-Store is a database in which data will be stored in key and value where each data have different key and value. With the help of KV(key-value) database we can support multiple CRUD operations at a time.
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Liu, Dong-Mei, Li-Li Yan, Yan Chang, Shi-Bin Zhang, and Tian Cao. "Two quantum private query protocols based on Bell states and single photons." Modern Physics Letters A 36, no. 02 (2021): 2150005. http://dx.doi.org/10.1142/s021773232150005x.

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This paper proposes two quantum privacy query protocols. In the single vector sub-privacy query of protocol 1, it is proposed for the first time to distinguish different measurement results by publishing 2 bits of classic information. In the protocol, the database Bob selects the Z base and the Bell base to measure the particles sent by Alice according to the key value of the encrypted database and publishes 2 bits of classic information based on the measurement results. The user Alice infers the key value of the encrypted database through these two pieces of classic information. In the two-wa
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Vaibhav, Sachdeva, Sharma Sahil, Saini Prince, and Mrinal Pandey Dr. "Comparative Study of RDBMS, NOSQL and Graph Databases." Journal of Computer Science Engineering and Software Testing 4, no. 3 (2018): 1–5. https://doi.org/10.5281/zenodo.1468211.

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<em>The paper aims at analysis and comparison of various forms of databases particularly computer database Management System (RDBMS), Not solely SQL (NOSQL), Graph Databases. The Structured source language is employed by applications to access computer database systems containing informative during a semi declarative language whereas NOSQL databases area unit supported the key-value pairs. Graph info uses graph structures for resolution queries and to represent and store knowledge.</em>
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Sethu, Sesha Synam Neeli. "Serverless Databases: A Cost-Effective and Scalable Solution." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 6 (2019): 1–7. https://doi.org/10.5281/zenodo.15362290.

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Traditional database management systems (DBMS) require significant operational overhead, involving complex infrastructure provisioning, configuration, and ongoing maintenance. This approach presents challenges for modern applications demanding scalability, agility, and cost-efficiency. Serverless databases address these limitations by abstracting away the underlying infrastructure management, providing a fully managed service.This paper examines the key advantages of serverless databases, including their auto-scaling capabilities (dynamic resource allocation based on workload demands), reduced
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21

Han, Yin Dan, and Jiang Feng Xu. "A New Relational Database Watermarking Algorithm Based on Chaos." Advanced Materials Research 971-973 (June 2014): 1485–90. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1485.

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This paper proposed a new database watermarking algorithm based on a numerical attribute of database. Firstly, the copyright image was encrypted by a chaotic system to produce a binary sequence as the watermark signal. Then it used two hash functions to realize the watermark embedding. The first hash value was calculated by using the connection value of the key and the primary key. Then it filtered out the tuples whose corresponding hash value was even. The second double-hash value was calculated by using the connection of the key and the first hash value, which was used to label tuples and pa
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22

Ha, Van Muon, Yulia A. Shichkina, and Sergey V. Kostichev. "Determining the Composition of Collections for Key-Document Databases Based on a Given Set of Object Properties and Database Querie." Computer tools in education, no. 3 (September 30, 2019): 15–28. http://dx.doi.org/10.32603/2071-2340-2019-3-15-28.

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The work of transforming a database from one format periodically appears in different organizations for various reasons. Today, the mechanism for changing the format of relational databases is well developed. However, with the advent of new types of databases, such as NoSQL, this problem is prevalent due to the radically different ways of data organization at the various databases. This article discusses a formalized method based on set theory, at the choice of the number and composition of collections for a key-value type database. The initial data are the properties of objects, about which i
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Divya, Manda Sai, and Shiv Kumar Goyal. "ElasticSearch: An advanced and quick search technique to handle voluminous data." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 06 (2013): 171–75. https://doi.org/10.5281/zenodo.14605718.

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24

Kim, Sunggon, and Hwajung Kim. "Improving Performance of Key–Value Stores for High-Performance Storage Devices." Applied Sciences 14, no. 17 (2024): 7538. http://dx.doi.org/10.3390/app14177538.

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Key–value stores (KV stores) are becoming popular in both academia and industry due to their high performance and simplicity in data management. Unlike traditional database systems such as relational databases, KV stores manage data in key–value pairs and do not support relationships between the data. This simplicity enables KV stores to offer higher performance. To further improve the performance of KV stores, high-performance storage devices such as solid-state drives (SSDs) and non-volatile memory express (NVMe) SSDs have been widely adopted. These devices are intended to expedite data proc
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Seo, Yong-Cheol, Sung-Hoon Park, Yeong-Mok Kim, Jae-Youp Lee, and Yoon Kim. "Comparing Key-Value Store based Distributed NoSQL Database Performance on a Single-Node Instances." Journal of Digital Contents Society 20, no. 11 (2019): 2227–35. http://dx.doi.org/10.9728/dcs.2019.20.11.2227.

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Siddiqui, Muhammad Faisal, Farman Ali, Muhammad Awais Javed, et al. "An FPGA-Based Performance Analysis of Hardware Caching Techniques for Blockchain Key-Value Database." Applied Sciences 13, no. 7 (2023): 4092. http://dx.doi.org/10.3390/app13074092.

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The speedy advancement in wireless communication technologies provides considerable development to enable smart cities with applications such as Intelligent Transport Systems (ITS) and the Internet of Medical Things (IoMT). Blockchain is an emerging technology that provides a secure and distributed data storage mechanism useful for smart city applications. The full nodes in the Blockchain contain a record of all the transactions and data blocks of the Blockchain users. As the number of full nodes is less and the number of Blockchain users is high, there is a huge load on the full nodes for acc
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Monteiro, Jéssica, Filipe Sá, and Jorge Bernardino. "Experimental Evaluation of Graph Databases: JanusGraph, Nebula Graph, Neo4j, and TigerGraph." Applied Sciences 13, no. 9 (2023): 5770. http://dx.doi.org/10.3390/app13095770.

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NoSQL databases were created with the primary goal of addressing the shortcomings in the efficiency of relational databases, and can be of four types: document, column, key-value, and graph databases. Graph databases can store data and relationships efficiently, and have a flexible and easy-to-understand data schema. In this paper, we perform an experimental evaluation of the four most popular graph databases: JanusGraph, Nebula Graph, Neo4j, and TigerGraph. Database performance is evaluated using the Linked Data Benchmark Council’s Social Network Benchmark (LDBC SNB). In the experiments, we a
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Yue, Cong, Tien Tuan Anh Dinh, Zhongle Xie, et al. "GlassDB: An Efficient Verifiable Ledger Database System Through Transparency." Proceedings of the VLDB Endowment 16, no. 6 (2023): 1359–71. http://dx.doi.org/10.14778/3583140.3583152.

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Verifiable ledger databases protect data history against malicious tampering. Existing systems, such as blockchains and certificate transparency, are based on transparency logs --- a simple abstraction allowing users to verify that a log maintained by an untrusted server is append-only. They expose a simple key-value interface without transactions. Building a practical database from transparency logs, on the other hand, remains a challenge. In this paper, we explore the design space of verifiable ledger databases along three dimensions: abstraction, threat model, and performance. We survey exi
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Song, Kyung-Tae, and Sang-Hyun Park. "Design of Master-Slave-Slave Replication Model to Balance Master Overhead for Key-value Database." Journal of Korean Institute of Information Technology 15, no. 2 (2017): 7–14. http://dx.doi.org/10.14801/jkiit.2017.15.2.7.

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Xu, Zihao, Zilong Wu, Jingtao Zhang, Ruihao Zhou, Jiane Wu, and Bentong Yu. "Development of Multiscale Transcriptional Regulatory Network in Esophageal Cancer Based on Integrated Analysis." BioMed Research International 2020 (August 12, 2020): 1–17. http://dx.doi.org/10.1155/2020/5603958.

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Objective. To explore multiscale integrated analysis methods in identifying key regulators of esophageal cancer (ESCA). Methods. We downloaded the ESCA dataset from The Cancer Genome Atlas (TCGA) database, which contained RNA-seq data, miRNA-seq data, methylation data, and clinical phenotype information. Then, we combined ESCA-related genes from the NCBI-GENE and OMIM databases and RNA-seq dataset from TCGA to analyze differentially expressed genes (DEGs). Meanwhile, differentially expressed miRNAs (DEmiRNAs) and genes with differential methylation levels were identified. The pivot–module pair
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Kumar, Manoj, and O. P. Verma. "Content characteristics based robust watermarking for relational database: a new approach to database security." International Journal of Engineering & Technology 7, no. 1.9 (2018): 234. http://dx.doi.org/10.14419/ijet.v7i1.9.10003.

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Digital data such as text, relational database, audio, video and software are intellectual property of creators/ writers/owners. The database services have become easily available and economical since the booming of internet. However, their outsourcing through the internet accompanies multiple threats like copying, modifying as well as unauthorized distribution. Relational Database has a wide-spread use in many real-life applications, hence, it is essential to maintain integrity and provide copyright protection. To counter the threats, watermarking techniques have been playing a vital role sin
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Kumar, Manoj, and O. P. Verma. "Content Characteristics Based Robust Watermarking for Relational Database: A New Approach to Database Security." International Journal of Engineering & Technology 7, no. 1.9 (2018): 302. http://dx.doi.org/10.14419/ijet.v7i1.9.12694.

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Digital data such as text, relational database, audio, video and software are intellectual property of creators/ writers/owners. The database services have become easily available and economical since the booming of internet. However, their outsourcing through the internet accompanies multiple threats like copying, modifying as well as unauthorized distribution. Relational Database has a wide-spread use in many real-life applications, hence, it is essential to maintain integrity and provide copyright protection. To counter the threats, watermarking techniques have been playing a vital role sin
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Mo, Dingheng, Junfeng Liu, Fan Wang, and Siqiang Luo. "Aster: Enhancing LSM-structures for Scalable Graph Database." Proceedings of the ACM on Management of Data 3, no. 1 (2025): 1–26. https://doi.org/10.1145/3709662.

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There is a proliferation of applications requiring the management of large-scale, evolving graphs under workloads with intensive graph updates and lookups. Driven by this challenge, we introduce Poly-LSM , a high-performance key-value storage engine for graphs with the following novel techniques: (1) Poly-LSM is embedded with a new design of graph-oriented LSM-tree structure that features a hybrid storage model for concisely and effectively storing graph data. (2) Poly-LSM utilizes an adaptive mechanism to handle edge insertions and deletions on graphs with optimized I/O efficiency. (3) Poly-L
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Oktafiani, Rian, Erik Iman Heri Ujianto, and Rianto Rianto. "Kombinasi Algoritma Kriptografi Vigenere Cipher dan SHA256 untuk Keamanan Basis Data." Jurnal Sistem Komputer dan Informatika (JSON) 4, no. 3 (2023): 433. http://dx.doi.org/10.30865/json.v4i3.5583.

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An organization must consider and manage the security of data storage in databases or databases, and special procedures are needed to protect data from various security risks. The problem in this study is that the population data contained in the Girisuko village administrative service information system has not been encrypted or secured. This can pose a risk that the data stored in the database can be intercepted and misused. In this study, the cryptographic technique used was a combination of the Vigenere Cipher and SHA 256 algorithms to secure or encrypt databases, especially population dat
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Wyszomirski, Michał. "Analysis of the possibility of using key-value store NoSQL databases for IFC data processing in the BIM-GIS integration process." Polish Cartographical Review 54, no. 1 (2022): 11–22. http://dx.doi.org/10.2478/pcr-2022-0002.

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Abstract The article discusses the possibility of using Redis key-value NoSQL database to process building data in different BIM-GIS integration solutions. Whichever data integration model is adopted, it will require an efficient serving of building data in Industry Foundation Classes (IFC) format. The author proposed a method of processing building data in the Redis database to support the process of feeding IFC data to his own concept of an integrated BIM-GIS database. However, other approaches to BIM-GIS integration, including the import of IFC data to CityGML, or the construction of an int
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Panwar, Avnish. "Data migration from SQL to NoSQL using snapshot- Livestream migration." Mathematical Statistician and Engineering Applications 70, no. 2 (2021): 1600–1608. http://dx.doi.org/10.17762/msea.v70i2.2450.

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The process of moving data from a source database to a destination database is known as data migration. For a variety of reasons, including higher data handling capacity, improved speed, and scalability, many businesses are choosing to convert their databases from one kind (e.g., RDBMS) to another (e.g., NoSQL). Sqoop [3], mongoimport [2], and mongify [1] are a few techniques and technologies that have been developed to help with this transition from RDBMS to NoSQL databases. NoSQL databases use different models, as opposed to the relational model employed by RDBMS, including document, graph,
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Sui, Yingli, Kun Lu, and Lin Fu. "Prediction and analysis of novel key genes ITGAX, LAPTM5, SERPINE1 in clear cell renal cell carcinoma through bioinformatics analysis." PeerJ 9 (April 20, 2021): e11272. http://dx.doi.org/10.7717/peerj.11272.

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Background Clear Cell Renal Cell Carcinoma (CCRCC) is the most aggressive subtype of Renal Cell Carcinoma (RCC) with high metastasis and recurrence rates. This study aims to find new potential key genes of CCRCC. Methods Four gene expression profiles (GSE12606, GSE53000, GSE68417, and GSE66272) were downloaded from the Gene Expression Omnibus (GEO) database. The TCGA KIRC data was downloaded from The Cancer Genome Atlas (TCGA). Using GEO2R, the differentially expressed genes (DEG) in CCRCC tissues and normal samples were analyzed. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes
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Marchuk, Alexander G. "SEQUENCE AS AN ABSTRACTION OF STRUCTURED DATABASE BUILDING." System Informatics, no. 18 (2021): 35–52. http://dx.doi.org/10.31144/si.2307-6410.2021.n18.p35-52.

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The article presents a database model based on a sequence of objects. The issues of serialization/deserialization of objects, index constructions, structure and methods of the universal sequence and universal index, implementation of the complete editing basis through the use of the primary key, timestamp and "empty" value are considered.
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Bhupender Kumar Panwar. "NoSQL and NewSQL Databases: Scaling beyond relational limits: Aarchitectures, performance and future directions." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 135–42. https://doi.org/10.30574/wjaets.2025.15.1.0193.

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This article explores the evolution and capabilities of NoSQL and NewSQL databases as solutions that address the limitations of traditional relational database systems in today's data-intensive landscape. It examines the architectural foundations of various NoSQL categories—key-value stores, document databases, column-family stores, and graph databases—highlighting their distinct strengths for different use cases. The emergence of NewSQL databases is presented as a hybrid approach that maintains SQL's transactional integrity while incorporating distributed architectures for enhanced scalabilit
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Puranik, Sunil, Mahesh Barve, Swapnil Rodi, and Rajendra Patrikar. "FPGA-Based High-Throughput Key-Value Store Using Hashing and B-Tree for Securities Trading System." Electronics 12, no. 1 (2022): 183. http://dx.doi.org/10.3390/electronics12010183.

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Field-Programmable Array (FPGA) technology is extensively used in Finance. This paper describes a high-throughput key-value store (KVS) for securities trading system applications using an FPGA. The design uses a combination of hashing and B-Tree techniques and supports a large number of keys (40 million) as required by the Trading System. We have used a novel technique of using buckets of different capacities to reduce the amount of Block-RAM (BRAM) and perform a high-speed lookup. The design uses high-bandwidth-memory (HBM), an On-chip memory available in Virtex Ultrascale+ FPGAs to support a
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El Massari, Hakim, Sajida Mhammedi, and Noreddine Gherabi. "Bridging the gap between the semantic web and big data: answering SPARQL queries over NoSQL databases." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6829. http://dx.doi.org/10.11591/ijece.v12i6.pp6829-6835.

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Nowadays, the database field has gotten much more diverse, and as a result, a variety of non-relational (NoSQL) databases have been created, including JSON-document databases and key-value stores, as well as extensible markup language (XML) and graph databases. Due to the emergence of a new generation of data services, some of the problems associated with big data have been resolved. In addition, in the haste to address the challenges of big data, NoSQL abandoned several core databases features that make them extremely efficient and functional, for instance the global view, which enables users
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Hakim, El Massari, Mhammedi Sajida, and Gherabi Noreddine. "Bridging the gap between the semantic web and big data: answering SPARQL queries over NoSQL databases." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6829–35. https://doi.org/10.11591/ijece.v12i6.pp6829-6835.

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Nowadays, the database field has gotten much more diverse, and as a result, a variety of non-relational (NoSQL) databases have been created, including JSON-document databases and key-value stores, as well as extensible markup language (XML) and graph databases. Due to the emergence of a new generation of data services, some of the problems associated with big data have been resolved. In addition, in the haste to address the challenges of big data, NoSQL abandoned several core databases features that make them extremely efficient and functional, for instance the global view, which enables users
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Rodrigues, Rowena, Anais Resseguier, and Nicole Santiago. "When Artificial Intelligence Fails." Public Governance, Administration and Finances Law Review 8, no. 2 (2023): 17–28. http://dx.doi.org/10.53116/pgaflr.7030.

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Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them
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Zharkynbekova, Sh K., B. Kh Galiyeva, and G. K. Ayupova. "Scientometric analysis of value priorities: trends and perspectives." Gumilyov Journal of Sociology 151, no. 2 (2025): 54–69. https://doi.org/10.32523/3080-1702-2025-151-2-54-69.

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This article presents a scientometric analysis of the key concepts of “value” and “priorities” in scientific publications of the Scopus and Web of Science databases. The paper aims to identify trends and directions of research related to these terms from 2014 -2024. The choice of this period allows us to establish the state of the studied direction and identify trends in its further development. SciVal internal tools for working with the Scopus database and VOS Viewer software for visualization of keywords in Web of Science database publications were used for the analysis. Based on the analysi
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Braverman, Alexander, and Zaoxing Liu. "Toward Fast Query Serving in Key-Value Store Migration with Approximate Telemetry." ACM SIGMETRICS Performance Evaluation Review 51, no. 2 (2023): 91–93. http://dx.doi.org/10.1145/3626570.3626604.

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Distributed key-value stores scale data analytical processing by spreading data across nodes. Frequent migration of key-value shards between online nodes is a key technique to react to dynamic workload changes for load balancing and service elasticity. During migration, the data is split between a source and a destination, making it difficult to query the exact location. Existing solutions aiming to provide real-time read and write query capabilities during migration may require querying both source and destination servers, doubling the compute/network resources. In this paper, we explore a si
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Cicalese, Danilo, Grzegorz Jereczek, Fabrice Le Goff, et al. "The design of a distributed key-value store for petascale hot storage in data acquisition systems." EPJ Web of Conferences 214 (2019): 01014. http://dx.doi.org/10.1051/epjconf/201921401014.

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Data acquisition systems for high energy physics experiments readout terabytes of data per second from a large number of electronic components. They are thus inherently distributed systems and require fast online data selection, otherwise requirements for permanent storage would be enormous. Still, incoming data need to be buffered while waiting for this selection to happen. Each minute of an experiment can produce hundreds of terabytes that cannot be lost before a selection decision is made. In this context, we present the design of DAQDB (Data Acquisition Database) — a distributed key-value
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S, Arpitha, and Dr Phaneendra H D. "A STUDY OF THE BENEFITS AND DRAWBACKS OF NOSQL DATABASES." International Research Journal of Computer Science 8, no. 8 (2021): 169–71. http://dx.doi.org/10.26562/irjcs.2021.v0808.002.

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NoSQL database management solutions are a departure from standard relational database management systems (RDBMS). Non-tabular NoSQL databases store data in a distinct way when compared to relational database tables. The data model of NoSQL databases is used to classify them. The most popular types are document, key-value, wide-column, and graph. They feature customizable schemas and can easily handle large amounts of data as well as significant user loads. They have adaptable schemas and can handle big amounts of data and high user loads with ease. Furthermore, their data models' flexibility a
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Dettki, Holger, Debora Arlt, Johan Bäckman, and Mathieu Blanchet. "Key-value pairs and NoSQL databases: a novel concept to manage biologging data in data repositories." Biodiversity Information Science and Standards 7 (August 21, 2023): e111438. https://doi.org/10.3897/biss.7.111438.

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Traditional data scheme concepts for biologging data previously relied on traditional relational databases and fixed normalized tables. In practice, this means that a repository contains separate, fixed table structures for each type of sensor data. Prominent examples are the current Wireless Remote Animal Monitoring (WRAM) data schema or the now discontinued ZoaTrack approach. While the traditional approach worked fine as long as few sensors with fixed data types were used, rapid technological development continuously introduces new sensor types and more advanced sensor platforms. This means
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Shalihati, Fithriyyah, Hartoyo, and Febriantina Dewi. "Bibliometric Analysis of Relationship Between Value Perceptions on Luxury Products Purchase Intentions Using Proquest Database." Business Review and Case Studies 6, no. 1 (2025): 16. https://doi.org/10.17358/brcs.6.1.16.

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Background: The field of value perceptions and luxury product purchase intentions has experienced significant development over the past decade. The expansion of the luxury market in a given country is closely linked to prevailing luxury consumption trends. Understanding the relationship between value perceptions and purchase intentions is crucial in analyzing consumer behavior in this sector. Purpose: The objectives of this research are to analyze the chronological distribution of relevant publications, identify clustering research topics and emerging sub-themes, review the relationships betwe
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Wang, Meng, Licheng Wang, Shusheng Wu, Dongsheng Zhou, and Xianming Wang. "Identification of Key Genes and Prognostic Value Analysis in Hepatocellular Carcinoma by Integrated Bioinformatics Analysis." International Journal of Genomics 2019 (November 22, 2019): 1–21. http://dx.doi.org/10.1155/2019/3518378.

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Emerging evidence indicates that various functional genes with altered expression are involved in the tumor progression of human cancers. This study is aimed at identifying novel key genes that may be used for hepatocellular carcinoma (HCC) diagnosis, prognosis, and targeted therapy. This study included 3 expression profiles (GSE45267, GSE74656, and GSE84402), which were obtained from the Gene Expression Omnibus (GEO). GEO2R was used to analyze the differentially expressed genes (DEGs) between HCC and normal samples. The functional and pathway enrichment analysis was performed by the Database
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