Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
АНАЛІЗ ЕФЕКТИВНОСТІ СТРУКТУР ДАНИХ ТА БАЗ ДАНИХ У РОЗПОДІЛЕНИХ СИСТЕМАХ НА ОСНОВІ PYTHON, JAVA ТА БЛОКЧЕЙН-ТЕХНОЛОГІЙ (Ukrainian) |
| Alternate Title: |
ANALYSIS OF THE EFFICIENCY OF DATA STRUCTURES AND DATABASES IN DISTRIBUTED SYSTEMS BASED ON PYTHON, JAVA AND BLOCKCHAIN TECHNOLOGIES. (English) |
| Συγγραφείς: |
Аронов Андрій Олексійович, Гавор Артур Станіславович, Герцюк Микола Модестович, Гордієнко Катерина Олександрівна, Ніщеменко Дмитро Олександрович |
| Πηγή: |
Cybersecurity: Education, Science, Technique / Kiberbezpeka: Osvita, Nauka, Tekhnika; 2025, Vol. 3 Issue 31, p61-70, 10p |
| Θεματικοί όροι: |
Data structures, Blockchains, Data integrity, Benchmark problems (Computer science), Python programming language, Scalability, Java programming language, Distributed computing |
| Περίληψη: |
The article presents a comparative analysis of linear and nonlinear data structures using the Python and Java programming languages in the context of distributed systems. The impact of the choice of structure on performance, scalability, and data consistency when working with distributed databases and blockchain technologies is considered. The key characteristics of data structures and storages are compared, and their advantages and limitations in various information processing scenarios are assessed. The study allows us to determine the optimal approaches to building effective data storage and processing systems. Python is characterized by simplicity and developed built-in collections, but is limited to an interpreter in high-performance scenarios. Java, thanks to the JVM virtual machine and multithreading support, is better suited for systems with high loads. In the context of distributed databases, these differences are manifested in the work of relational and NoSQL solutions that use tree and hash structures for indexing, while blockchain is based on hash-trees, ensuring immutability, but reducing performance. The research allows us to formulate practical recommendations for building effective distributed systems, to identify the strengths and weaknesses of different approaches. Therefore, a comparative analysis of linear and nonlinear data structures using Python and Java, as well as research into their application in distributed databases and blockchain, is a relevant task. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |