Gotowa bibliografia na temat „Cassandra database system”

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Artykuły w czasopismach na temat "Cassandra database system"

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Andor, C. F. "Performance Benchmarking for NoSQL Database Management Systems." Studia Universitatis Babeș-Bolyai Informatica 66, no. 1 (2021): 23. http://dx.doi.org/10.24193/subbi.2021.1.02.

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NoSQL database management systems are very diverse and are known to evolve very fast. With so many NoSQL database options available nowadays, it is getting harder to make the right choice for certain use cases. Also, even for a given NoSQL database management system, performance may vary significantly between versions. Database performance benchmarking shows the actual performance for different scenarios on different hardware configurations in a straightforward and precise manner. This paper presents a NoSQL database performance study in which two of the most popular NoSQL database management
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Gorbenko, Anatoliy, and Olga Tarasyuk. "EXPLORING TIMEOUT AS A PERFORMANCE AND AVAILABILITY FACTOR OF DISTRIBUTED REPLICATED DATABASE SYSTEMS." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (November 27, 2020): 98–105. http://dx.doi.org/10.32620/reks.2020.4.09.

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A concept of distributed replicated data storages like Cassandra, HBase, MongoDB has been proposed to effectively manage the Big Data sets whose volume, velocity, and variability are difficult to deal with by using the traditional Relational Database Management Systems. Trade-offs between consistency, availability, partition tolerance, and latency are intrinsic to such systems. Although relations between these properties have been previously identified by the well-known CAP theorem in qualitative terms, it is still necessary to quantify how different consistency and timeout settings affect sys
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Wang, Bo-Qian, Qi Yu, Xin Liu, Li Shen, and Zhi-ying Wang. "A System Performance Estimation Model for Cassandra Database." International Journal of Database Theory and Application 9, no. 3 (2016): 123–36. http://dx.doi.org/10.14257/ijdta.2016.9.3.14.

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P, aralakshmi, Hima S, and Surekha Mariam Varghese. "Cassandra a distributed NoSQL database for Hotel Management System." International Journal on Cybernetics & Informatics 5, no. 2 (2016): 109–16. http://dx.doi.org/10.5121/ijci.2016.5212.

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Béjar-Martos, Juan A., Antonio J. Rueda-Ruiz, Carlos J. Ogayar-Anguita, Rafael J. Segura-Sánchez, and Alfonso López-Ruiz. "Strategies for the Storage of Large LiDAR Datasets—A Performance Comparison." Remote Sensing 14, no. 11 (2022): 2623. http://dx.doi.org/10.3390/rs14112623.

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The widespread use of LiDAR technologies has led to an ever-increasing volume of captured data that pose a continuous challenge for its storage and organization, so that it can be efficiently processed and analyzed. Although the use of system files in formats such as LAS/LAZ is the most common solution for LiDAR data storage, databases are gaining in popularity due to their evident advantages: centralized and uniform access to a collection of datasets; better support for concurrent retrieval; distributed storage in database engines that allows sharding; and support for metadata or spatial quer
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Gorbenko, Anatoliy, Andrii Karpenko, and Olga Tarasyuk. "Performance evaluation of various deployment scenarios of the 3-replicated Cassandra NoSQL cluster on AWS." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (November 29, 2021): 157–65. http://dx.doi.org/10.32620/reks.2021.4.13.

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A concept of distributed replicated NoSQL data storages Cassandra-like, HBase, MongoDB has been proposed to effectively manage Big Data set whose volume, velocity and variability are difficult to deal with by using the traditional Relational Database Management Systems. Tradeoffs between consistency, availability, partition tolerance and latency is intrinsic to such systems. Although relations between these properties have been previously identified by the well-known CAP and PACELC theorems in qualitative terms, it is still necessary to quantify how different consistency settings, deployment p
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Aniceto, Rodrigo, Rene Xavier, Valeria Guimarães, et al. "Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency." International Journal of Genomics 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/502795.

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Rapid advances in high-throughput sequencing techniques have created interesting computational challenges in bioinformatics. One of them refers to management of massive amounts of data generated by automatic sequencers. We need to deal with the persistency of genomic data, particularly storing and analyzing these large-scale processed data. To find an alternative to the frequently considered relational database model becomes a compelling task. Other data models may be more effective when dealing with a very large amount of nonconventional data, especially for writing and retrieving operations.
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Stetsyk, Oleksii, and Svitlana Terenchuk. "COMPARATIVE ANALYSIS OF NOSQL DATABASES ARCHITECTURE." Management of Development of Complex Systems, no. 47 (September 27, 2021): 78–82. http://dx.doi.org/10.32347/2412-9933.2021.47.78-82.

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This article is devoted to the study of problematic issues due to the growing scale and requirements for modern high-load distributed systems. The relevance of the work is ensured by the fact that an important component of each such system is a database. The paper highlights the main problems associated with the use of relational databases in many high-load distributed systems. The main focus is on the study of such properties as data consistency, availability, and stability of the system. Basic information about the architecture and purpose of non-relational databases with a wide column, data
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Milošević, Danijela, Selver Pepić, Muzafer Saračević, and Milan Tasić. "Weighted Moore–Penrose generalized matrix inverse: MySQL vs. Cassandra database storage system." Sādhanā 41, no. 8 (2016): 837–46. http://dx.doi.org/10.1007/s12046-016-0523-6.

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Deng, Lu, Wei Hong Han, Dong Liu, and Ying Xiong. "The Model of Fuzzy Retrieval Based on External Index." Applied Mechanics and Materials 380-384 (August 2013): 1605–8. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1605.

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With the rapid development of the Internet, database is getting more and more attention for its advantages of high concurrency, high scalability and high availability. In order to solve the problem that how to retrieving the data in the database efficiently and accurately, a model of fuzzy retrieval based on external index is proposed in this paper. By this external index, the efficiency of the NoSQL databases retrieval whose column not be appointed is greatly improved. As an example, the Cassandra database is adopted to store the data and the external index is stored in the national databases
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