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Статті в журналах з теми "Replication distributed database"

Автор: Grafiati

Опубліковано: 28 травня 2022

Оновлено: 31 липня 2025

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1

Hamad Thalij, Saadi, and Veli Hakkoymaz. "A Case Study of Snapshot Replication and Transfer of Data in Distributed Databases." Tikrit Journal of Pure Science 23, no. 10 (2019): 87. http://dx.doi.org/10.25130/j.v23i10.765.

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Анотація:

The database replication refers to distributing a database among multiple locations. There are three kinds of database replication system: snapshot, transactional and merge. The snapshot replication refers to the fragment of database items and distributing them to multi databases at once. An important goal in this paper is to experiment with a distributed database study the snapshot replication and examine the issues associated with it. In this work, the data from another database is used to increase availability and flexibility as well as provide the information exchange between databases. In

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2

Saadi Hamad Thalij and Veli Hakkoymaz. "A Case Study of Snapshot Replication and Transfer of Data in Distributed Databases." Tikrit Journal of Pure Science 23, no. 10 (2019): 97–101. http://dx.doi.org/10.25130/tjps.v23i10.571.

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Анотація:

The database replication refers to distributing a database among multiple locations. There are three kinds of database replication system: snapshot, transactional and merge. The snapshot replication refers to the fragment of database items and distributing them to multi databases at once. An important goal in this paper is to experiment with a distributed database study the snapshot replication and examine the issues associated with it. In this work, the data from another database is used to increase availability and flexibility as well as provide the information exchange between databases. In

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3

Muh., Hidayat Darmawan, Isnawaty, and Subardin. "PERANCANGAN DAN IMPLEMENTASI SISTEM REPLIKASI DATABASE TERDISTRIBUSI PADA FAKULTAS TEKNIK UNIVERSITAS HALU OLEO." semanTIK 4, no. 2 (2018): 91–98. https://doi.org/10.5281/zenodo.1493829.

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Анотація:

<strong><em>Abstract</em></strong> <em>Current technological developments are very influential on the process of data distribution that is demanded fast because every second of information can change. One of the methods used in data exchange is to use data replication in a distributed database. The speed of the process and the number of rows that can be replicated in units of time are some of the things that can be taken into consideration when trying to determine how to replicate data in a distributed database.</em> <em>In replication, a software is used to find or more precisely track change

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4

Noor, Ahmad Shukri Mohd, Auni Fauzi Che Fauzi, Ainul Azila Che Fauzi, Noraziah Ahmad, and Mohamad Syauqi Mohamad Arifin. "An automate failure recovery for synchronous distributed database system." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 2 (2022): 973–79. https://doi.org/10.11591/ijeecs.v28.i2.pp973-979.

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Анотація:

Periodically, researchers have been sharing their constant attempts to improve the existing methods for data replication in distributed database system. The main goal is to work for an efficient distributed environment. An efficient environment may handle huge amount of data and preserve data availability. The occasionally failures in distributed systems will affect the end results, such as data loss, income loss etc. Thus, to prevent the data loss and guarantee the continuity of the business, many organizations have applied disaster recovery solutions in their system. One of the widely used i

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5

GALLERSDÖRFER, RAINER, MATTHIAS JARKE, and MATTHIAS NICOLA. "THE ADR REPLICATION MANAGER." International Journal of Cooperative Information Systems 08, no. 01 (1999): 15–45. http://dx.doi.org/10.1142/s0218843099000034.

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ADR (Atomic Delayed Replication) is a controllable replication manager implemented on top of commercial distributed relational databases. ADR's goal is to enable various well-defined trade-offs between database coherence, throughput and response time in large database networks, e.g. for telecom applications. By combining a strategy for distributed database design with a specific replication protocol, ADR preserves the ACID properties with a controlled relaxation of coherence between primary and secondary copies. We first discuss formal characteristics of ADR, and present the implementation tec

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6

SRINIVASAN, JAGANNATHAN, YIN-HE JIANG, YONGGUANG ZHANG, and BHARAT BHARGAVA. "PERFORMANCE STUDY ON SUPPORTING OBJECTS IN O-RAID DISTRIBUTED DATABASE SYSTEM." International Journal of Cooperative Information Systems 02, no. 02 (1993): 225–47. http://dx.doi.org/10.1142/s0218215793000113.

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O-Raid [1, 2] uses a layered approach to provide support for objects on top of a distributed relational database system called RAID [3], It reuses the replication controller of RAID to allow replication of simple objects as well as replication of composite objects. In this paper, we first describe the experiments conducted on O-Raid that measure the overheads incurred in supporting objects through a layered implementation, and the overheads involved in replicating objects. The overheads are low (e.g. 4ms for an insert query involving objects). We present experiments that evaluate three replica

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7

Che Fauzi, Ainul Azila, A. Noraziah, Wan Maseri Binti Wan Mohd, A. Amer, and Tutut Herawan. "Managing Fragmented Database Replication for Mygrants Using Binary Vote Assignment on Cloud Quorum." Applied Mechanics and Materials 490-491 (January 2014): 1342–46. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.1342.

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Анотація:

Replication in distributed database is the process of copying and maintaining database objects in multiple databases that make up a distributed database system. In this paper, we will manage fragmented database replication and transaction management for Malaysian Greater Research Network (MyGRANTS) using a new proposed algorithm called Binary Vote Assignment on Cloud Quorum (BVACQ). This technique will combine replication and fragmentation. Fragmentation in distributed database is very useful in terms of usage, efficiency, parallelism and also for security. This strategy will partition the dat

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8

Naqvi, Kaynat Zehra. "Difficulties Associated with Replicated Data in Distributed Real-Time Database Systems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30824.

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Анотація:

In both Distributed and Real Time Databases Systems replication are interesting areas for the new researchers. In this paper, we provide an overview to compare replication techniques available for these database systems. Data consistency and scalability are the issues that are considered in this paper. Those issues are maintaining consistency between the actual state of the real-time object of the external environment and its images as reflected by all its replicas distributed over multiple nodes. We discuss a frame to create a replicated real- time database and preserve all timing constrains.

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9

Azizah, Nur, Veranda Hartajaya, and Sandi Riady. "Comparison Of Replication Strategies On Distributed Database Systems." International Journal of Cyber and IT Service Management 2, no. 1 (2022): 20–29. http://dx.doi.org/10.34306/ijcitsm.v2i1.70.

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Анотація:

Today's computer applications have ever-increasing database system capabilities and performance. The growing amount of data that has to be processed in a business company makes centralized data processing ineffective. This inefficiency shows itself as a long reaction time. This is in direct opposition to the purpose of utilizing databases in data processing, which is to reduce the amount of time it takes to process data. Another database design is required to tackle this problem. Distributed database technology refers to an architecture in which several servers are linked together, and each on

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10

Neiheiser, Ray, Roland Schmitz, Luciana Rech, and Manfredo Manfredini. "Efficient Fault-Tolerant Transactions for Distributed Graph Database." Singular Engenharia, Tecnologia e Gestão 1, no. 2 (2019): 14–20. http://dx.doi.org/10.33911/singular-etg.v1i2.59.

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Through the ongoing trend in graph technologies due to the massive growth of linked data produced by social networks graph databases gained popularity. Replication, a common approach to increase availability in databases, is also used by diverse graph database solutions. Few approaches implementing fault-tolerance in graph databases have been proposed yet.This paper considers deferred update replication using atomic broadcast in order to implement fault-tolerance in distributed graph databases. The main contribution of this paper is a deferred update algorithm adapted to graph databases offeri

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11

Welekar, Dr Rashmi. "Replication Data Concepts For Distributed Database Systems." Bioscience Biotechnology Research Communications 13, no. 14 (2020): 344–46. http://dx.doi.org/10.21786/bbrc/13.14/79.

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12

Ciciani, B., D. M. Dias, and P. S. Yu. "Analysis of replication in distributed database systems." IEEE Transactions on Knowledge and Data Engineering 2, no. 2 (1990): 247–61. http://dx.doi.org/10.1109/69.54723.

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13

Shukri Mohd Noor, Ahmad, Auni Fauzi Che Fauzi, Ainul Azila Che Fauzi, Noraziah Ahmad, and Mohamad Syauqi Mohamad Arifin. "An automate failure recovery for synchronous distributed database system." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 2 (2022): 973. http://dx.doi.org/10.11591/ijeecs.v28.i2.pp973-979.

Повний текст джерела

Анотація:

Periodically, researchers have been sharing their constant attempts to improve the existing methods for data replication in distributed database system. The main goal is to work for an efficient distributed environment. An efficient environment may handle huge amount of data and preserve data availability. The occasionally failures in distributed systems will affect the end results, such as data loss, income loss etc. Thus, to prevent the data loss and guarantee the continuity of the business, many organizations have applied disaster recovery solutions in their system. One of the widely used i

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14

Maabreh, Khaled Saleh. "Performance Evaluation of Distributed Database Systems." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 9 (2014): 4859–67. http://dx.doi.org/10.24297/ijct.v13i9.2383.

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Анотація:

Distributed database management systems manage a huge amount of data as well as large and increasingly growing number of users through different types of queries. Therefore, efficient methods for accessing these data volumes will be required to provide a high and an acceptable level of system performance. Â Data in these systems are varying in terms of types from texts to images, audios and videos that must be available through an optimized level of replication. Distributed database systems have many parameters like data distribution degree, operation mode and the number of sites and replicati

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15

Aditya, Jayasimha. "A Permission Based Tree-Structured Approach for Replicated Databases." International Journal of Peer to Peer Networks (IJP2P) 10, no. 3 (2019): 01–13. https://doi.org/10.5281/zenodo.3403816.

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ABSTRACT Data replication is gaining increased importance due to the increasing demand for availability, performance and fault tolerance in databases. The main challenge for deploying replicated databases on a large scale is to resolve conflicting update requests. In this paper, we propose a permission based dynamic primary copy algorithm to resolve conflicting requests among various sites of replicated databases. The contribution of this work is the reduction in the number of messages per update request. Further, we propose a novel approach for handling single-site fault tolerance including a

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16

Lu, Yi, Xiangyao Yu, Lei Cao, and Samuel Madden. "Epoch-based commit and replication in distributed OLTP databases." Proceedings of the VLDB Endowment 14, no. 5 (2021): 743–56. http://dx.doi.org/10.14778/3446095.3446098.

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Many modern data-oriented applications are built on top of distributed OLTP databases for both scalability and high availability. Such distributed databases enforce atomicity, durability, and consistency through two-phase commit (2PC) and synchronous replication at the granularity of every single transaction. In this paper, we present COCO, a new distributed OLTP database that supports epoch-based commit and replication. The key idea behind COCO is that it separates transactions into epochs and treats a whole epoch of transactions as the commit unit. In this way, the overhead of 2PC and synchr

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17

Acquah, Theophilus, Richard Amankwah, and Bright Appiah. "Empirical Insights into Replication Models for Distributed Database Environments." International Journal of Computer Applications 186, no. 53 (2024): 27–34. https://doi.org/10.5120/ijca2024924212.

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18

M, Natarajan, and Manimegalai R. "Key agreement based secure Kerberos authentication protocol (KASKAP) for distributed database access in secured manner." International Journal of Engineering & Technology 7, no. 2.9 (2018): 24. http://dx.doi.org/10.14419/ijet.v7i2.9.9364.

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Анотація:

Distributed database is a collection of multiple databases that can be stored at different network sites. It acts as an important role in today’s world intended for storing and retrieving huge data. The implementation of distributed database advantages such as data replication, low operating costs, faster data transaction and data processing, but security is still a significant problem. In this paper make clear to explain security issues of distributed database and give the suggestion to improve security of distributed database. Subsequently, secured distributed database design in light of tru

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19

Jain, Amit Kumar. "Architecting Scalable and Distributed Cloud Database Systems." International Journal of Technology, Management and Humanities 11, no. 02 (2025): 1–9. https://doi.org/10.21590/ijtmh.11.02.04.

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The rapid growth of data-intensive applications has led to an increasing demand for scalable, distributed cloud-based databases capable of ensuring high availability, fault tolerance, and efficient data management. Scalable architectures in this domain are essential for meeting diverse workload requirements while maintaining optimal performance and costefficiency. This paper explores various architectural designs and techniques employed to achieve scalability in cloud-based databases, including horizontal scaling, sharding, and replication. Emphasis is placed on the balance between consistency

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20

PHAM, HOANG, and DAVID POTOSKI. "AN OPTIMAL STATIC PESSIMISTIC SCHEME FOR FAULT TOLERANT DISTRIBUTED DATABASE SYSTEMS." International Journal of Reliability, Quality and Safety Engineering 01, no. 03 (1994): 365–78. http://dx.doi.org/10.1142/s021853939400026x.

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A distributed database system often replicates data across its servers to provide a fault-resistant application, which maximizes server availability. Various replication control protocols have been developed to ensure data consistency. In this paper, we develop optimal design methods for the quorum-consensus replication protocol, which (1) maximizes availability of the distributed database systems and (2) minimizes the total system cost by calculating the optimal read quorum and the optimal number of system servers. Several numerical examples and applications are provided to illustrate the res

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21

Chen, Yuxing, Anqun Pan, Hailin Lei, et al. "TDSQL: Tencent Distributed Database System." Proceedings of the VLDB Endowment 17, no. 12 (2024): 3869–82. http://dx.doi.org/10.14778/3685800.3685812.

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Анотація:

Distributed databases have become indispensable in contemporary computing and data processing, owing to their pivotal role in ensuring high availability and scalability. They effectively cater to the requirements of data management and high-concurrency access. However, developing a distributed database system that is well-suited for diverse application scenarios, particularly for large-scale applications, presents several challenges. These challenges include ensuring data consistency and achieving high levels of performance. This paper presents TDSQL, a distributed database system that priorit

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22

Abd Al-Majeed, Saran Akram. "Null Values Treatment in Distributed Databases." Iraqi Journal for Computers and Informatics 40, no. 1 (2002): 55–64. http://dx.doi.org/10.25195/ijci.v40i1.226.

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Анотація:

There has been a great deal of discussion about null values in relational databases. The relational model was defined in 1969, and Nulls Was died in 1979. Unfortunately, there is not a generally agreeable solution for rull values problem. Null is a special marker which stands for a value undefined or unknown, which means thut ne entry has been made, a missing valuc mark is not a value and not of a date type and cannot be treated as a value by Database Management System (DBMS). As we know, distributed database users are more than a single database and data will be distributed among several data

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23

Sri Wulandari and Galuh Son Adji. "Distributed Database Implementation in Point of Sale System with Method Synchronous Replication." International Journal of Engineering Technology and Natural Sciences 3, no. 2 (2021): 47–51. http://dx.doi.org/10.46923/ijets.v3i2.118.

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This SBS Endang Buah is a trading agency that sells various kinds of products fruit. Initially SBS Endang Buah only had one shop with increase in customers then open a branch store to deal with customers which increases. But data that is not distributed quickly result in data delays and make it difficult for the agency to manage sales data at branch stores and central stores. Therefore all data from branches and central stores must be distributed to each other and a base system is made distributed data on the sales system to make it easier for the agency processing sales data. And remembering

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24

Kuppusamy, Kuppusamy, and P. Elango. "Data Replication for the Distributed Database using Decision Support Systems." International Journal of Computer Applications 69, no. 3 (2013): 28–39. http://dx.doi.org/10.5120/11824-7523.

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25

Elango, P., Dr K. Kuppusamy, N. Prabhu, and Dr N. M. Mallika. "Data Replication for the Distributed Database Using Decision Support Systems." International Journal of Computer Applications Technology and Research 8, no. 5 (2019): 149–52. http://dx.doi.org/10.7753/ijcatr0805.1001.

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26

Ubaidillah, Sharifah Hafizah Sy Ahmad, and A. Noraziah. "Overview of Replication Techniques on Distributed Database in Cloud Environment." Advanced Science Letters 23, no. 11 (2017): 11105–8. http://dx.doi.org/10.1166/asl.2017.10230.

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27

Lee, Youngkon, and Songchun Moon. "Cost-optimal dynamic data replication for distributed database systems: DYVO." Microprocessing and Microprogramming 40, no. 10-12 (1994): 747–50. http://dx.doi.org/10.1016/0165-6074(94)90032-9.

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28

Wakahara, Yasushi. "Replication routing schedule with minimum update time for distributed database." Electronics and Communications in Japan (Part I: Communications) 82, no. 2 (1999): 11–20. http://dx.doi.org/10.1002/(sici)1520-6424(199902)82:2<11::aid-ecja2>3.0.co;2-p.

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29

Xu, Quanqing, Chuanhui Yang, and Aoying Zhou. "Native Distributed Databases: Problems, Challenges and Opportunities." Proceedings of the VLDB Endowment 17, no. 12 (2024): 4217–20. http://dx.doi.org/10.14778/3685800.3685839.

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Анотація:

Native distributed databases, crucial for scalable applications, offer transactional and analytical prowess but face data intricacies and network challenges. Under the CAP theorem's constraints, latency and replication issues necessitate creative approaches to maintenance, security, and upgrades. Progress in consistency algorithms, network technology, automation, and machine learning for optimization presents significant potential. Embracing hybrid transactional/analytical processing (HTAP), these databases represent an evolutionary leap in data management, aiming to reconcile performance with

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30

Sleit, Azzam, Wesam AlMobaidee, Samih Al-Areqi, and Abdulaziz Yahya. "A Dynamic Object Fragmentation and Replication Algorithm In Distributed Database Systems." American Journal of Applied Sciences 4, no. 8 (2007): 613–18. http://dx.doi.org/10.3844/ajassp.2007.613.618.

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31

Janech, Jan, Tomas Baca, Anton Lieskovsky, Emil Krsak, and Karol Matiasko. "Distributed Database Systems and Data Replication Algorithms for Intelligent Transport Systems." Communications - Scientific letters of the University of Zilina 15, no. 2 (2013): 6–12. http://dx.doi.org/10.26552/com.c.2013.2.6-12.

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32

Thomson, Alexander, Thaddeus Diamond, Shu-Chun Weng, Kun Ren, Philip Shao, and Daniel J. Abadi. "Fast Distributed Transactions and Strongly Consistent Replication for OLTP Database Systems." ACM Transactions on Database Systems 39, no. 2 (2014): 1–39. http://dx.doi.org/10.1145/2556685.

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33

Singh, Prakash Kumar, and Udai Shanker. "Transaction Scheduling Heuristics in Mobile Distributed Real Time Database System." Recent Advances in Computer Science and Communications 13, no. 4 (2020): 758–70. http://dx.doi.org/10.2174/2213275912666190809120654.

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Background: Today's widely used small and portable mobile database technologies have geared toward the mobile distributed real-time database systems (MDRTDBS).Various real time applications like mobile devices, missile systems, navigation control systems, satellites and many others are some examples of MDRTDBS. In the new era of technology, a large domain of applications are based on MDRTDBS, meanwhile different intrinsic limitation like disconnection and mobility typically effect on its correct execution. Mobile distributed real-time systems have different wireless constrained such like energ

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34

Abdalla, Hassan, Ali Amer, and Hassan Mathkour. "A Novel Vertical Fragmentation, Replication and Allocation Model in DDBSs." JUCS - Journal of Universal Computer Science 20, no. (10) (2014): 1469–87. https://doi.org/10.3217/jucs-020-10-1469.

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Modern database systems are commonly distributed, and data is kept at isolated locations (sites). The various sites are connected through communications links, which may be of low speed resulting in bottlenecks for data transfer between sites. Data replication is considered as one of the effective methods in dealing with such situations to achieve improved performance in distributed database systems (DDBSs). In this work, authors explore a new model for improving performance in distributed database environment by using a vertical fragmentation method along with a novel replication and allocati

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35

Hajar, Maseeh Yasin, and Ahmed Mahmoud Hisham. "Data Integrity and Consistency Challenges in Distributed Database Systems." Engineering and Technology Journal 10, no. 05 (2025): 5077–86. https://doi.org/10.5281/zenodo.15471862.

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Анотація:

With the advent of distributed computing, maintaining data consistency and integrity between geographically remote and logically divided systems has become one of the most significant challenges for system designers and database architects. Distributed databases, though they offer higher availability, scalability, and local autonomy, create problems in maintaining synchronized and consistent states of data. This work covers the Database Integrity (DDBI) project—a pioneering endeavor sponsored by Rome Laboratory and conducted at SRI International—where innovative methods such as rul

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36

Hussain, Dildar, Mohammad Omar, Khairol Amali Ahmad, Ja’afar Adnan, and Khaleel Ahmad. "Performance Comparison between NoSQL (RethinkDB) and MySQL Database Replication from Master to Slave in Big Data." Jurnal Kejuruteraan si4, no. 2 (2021): 65–69. http://dx.doi.org/10.17576/jkukm-2021-si4(2)-10.

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Анотація:

When database is stored in one computer or server, certain issues related to disaster (in terms of natural or un-natural) problem may arise with reference to geographical connection and geographical distribution of servers. Here, replication feature plays an important role. There were many techniques and methodologies for geographically distributed servers, but the problem was of one master. When an authorized user updates his database on a client database server then this client database server updates his master database server and at last, the master database server updates all its client’s

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37

Saadi Hamad Thalij. "Data Allocation in Distributed Database based on CSO." Tikrit Journal of Pure Science 27, no. 2 (2022): 43–51. http://dx.doi.org/10.25130/tjps.v27i2.66.

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Distributed databases (DDBs) provide smart processing of large databases, the problems of fragmentation and allocation are vital design problems in addition to the centralized design. The majority of performance degradation in DDBs is due to the communication cost by query remote access and retrieval of data. This can be optimized through an efficient data allocation approach that will provide flexible retrieval of a query by low cost accessible sites. In this paper, a novel high performance data allocation approach is designed using Chicken Swarm Optimization (CSO) algorithm. Data allocation

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38

Niazi Torshiz, Masood, Azadeh Salehi Esfaji, and Haleh Amintoosi. "Enhanced Schemes for Data Fragmentation, Allocation, and Replication in Distributed Database Systems." Computer Systems Science and Engineering 35, no. 2 (2020): 99–112. http://dx.doi.org/10.32604/csse.2020.35.099.

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39

Ahmed, Ashraf, P. D. D. Dominic, A. Azween, and I. Hamidah. "A New Optimistic Replication Strategy For Large-Scale Mobile Distributed Database Systems." International Journal of Database Management Systems 2, no. 4 (2010): 86–105. http://dx.doi.org/10.5121/ijdms.2010.2408.

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40

Mazurova, Oksana, Artem Naboka, and Mariya Shirokopetleva. "RESEARCH OF ACID TRANSACTION IMPLEMENTATION METHODS FOR DISTRIBUTED DATABASES USING REPLICATION TECHNOLOGY." Innovative Technologies and Scientific Solutions for Industries, no. 2 (16) (July 6, 2021): 19–31. http://dx.doi.org/10.30837/itssi.2021.16.019.

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Анотація:

Today, databases are an integral part of most modern applications designed to store large amounts of data and to request from many users. To solve business problems in such conditions, databases are scaled, often horizontally on several physical servers using replication technology. At the same time, many business operations require the implementation of transactional compliance with ACID properties. For relational databases that traditionally support ACID transactions, horizontal scaling is not always effective due to the limitations of the relational model itself. Therefore, there is an appl

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Arrieta-Salinas, Itziar, José Armendáriz-Iñigo, and Joan Navarro. "Epidemia: Variable Consistency for Transactional Cloud Databases." JUCS - Journal of Universal Computer Science 20, no. (14) (2014): 1876–902. https://doi.org/10.3217/jucs-020-14-1876.

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Анотація:

Classic replication protocols running on traditional cluster-based databases are currently unable to meet the ever-growing scalability demands of many modern software applications. Recent cloud-based storage repositories overcome such limitations by fostering availability and scalability over data consistency and transactional support. However, many applications that cannot resign from their transactional nature are unable to benefit from the cloud paradigm. This paper presents Epidemia, a distributed storage architecture featuring a hybrid approach that combines classic database replication w

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42

Byun, Siwoo, and Songchun Moon. "Fault-Tolerant Quorum Consensus Scheme for Replication Control in Mobile Distributed Database Systems." Journal of Database Management 9, no. 3 (1998): 16–24. http://dx.doi.org/10.4018/jdm.1998070102.

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DZIUBAK, Szymon. "REVIEW OF CLOUD DATABASE BENEFITS AND CHALLENGES." Modern Management Review 28, no. 3 (2023): 7–16. http://dx.doi.org/10.7862/rz.2023.mmr.14.

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Анотація:

The volume of data is increasing rapidly, that is why using cloud computing to store and process data may be inevitable. Providers offer many database services in public cloud that include many types of traditional relational and non-relational databases, as well as special purpose databases. Organizations can then migrate their data to cloud databases, however, decisions makers need to be aware of cloud benefits and challenges. Data in cloud is globally distributed, computing resources can be scaled up or down according to demand, cloud providers guarantee high level of service availability,

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Mahesh, Kumar Goyal, and Chaturvedi Rahul. "The Role of NoSQL in Microservices Architecture: Enabling Scalability and Data Independence." European Journal of Advances in Engineering and Technology 9, no. 6 (2022): 87–95. https://doi.org/10.5281/zenodo.14770388.

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Анотація:

Microservices architecture has completely changed how software systems are architected and are being constructed and the advantages are enhanced agility, scalability, and resilience. In this paper, we study the critical role NoSQL databases play in driving microservices into the success they enjoy today, with respect to scalability and data independence. Unlike relational databases, NoSQL databases have different data models and are distributed which suit the principles of microservices and each service can pick the most suitable database for the specific data it needs. The purpose of this pol

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Zhang, Zihao, Huiqi Hu, Xuan Zhou, Yaofeng Tu, Weining Qian, and Aoying Zhou. "Fast Commitment for Geo-Distributed Transactions via Decentralized Co-Coordinators." Proceedings of the VLDB Endowment 17, no. 10 (2024): 2555–67. http://dx.doi.org/10.14778/3675034.3675046.

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Анотація:

In a geo-distributed database, data shards and their respective replicas are deployed in distinct datacenters across multiple regions, enabling regional-level disaster recovery and the ability to serve global users locally. However, transaction processing in geo-distributed databases requires multiple cross-region communications, especially during the commit phase, which can significantly impact system performance. To optimize the performance of geo-distributed transactions, we propose Decentralized Two-phase Commit (D2PC), a new transaction commit protocol aiming to minimize the negative impa

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Selvaraj, P., Venkatesh Kannan, and Bruno Voisin. "Modified Data Storage and Replication Mechanism with Frequent Use-Case Based Indexing." Journal of Computational and Theoretical Nanoscience 17, no. 12 (2020): 5229–37. http://dx.doi.org/10.1166/jctn.2020.9413.

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The real time applications demands high speed and reliable data access from the remote database. An effective logical data management strategy that handles simultaneous connections with better performance negotiation is inevitable. This work considers an e-health care application that proposes MongoDB based modified indexing and performance tuning methods. To cope with certain high frequency use case and its performance mandates, a flexible and efficient logical data management may be preferred. By analysing the data dependency, data decomposition concerns and the performance requirements of t

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Li, Zijian, and Chuqiao Xiao. "ER-Store: A Hybrid Storage Mechanism with Erasure Coding and Replication in Distributed Database Systems." Scientific Programming 2021 (September 10, 2021): 1–13. http://dx.doi.org/10.1155/2021/9910942.

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Анотація:

In distributed database systems, as cluster scales grow, efficiency and availability become critical considerations. In a cluster, a common approach to high availability is using replication, but this is inefficient due to its low storage utilization. Erasure coding can provide data reliability while ensuring high storage utilization. However, due to the large number of coding and decoding operations required by the CPU, it is not suitable for some frequently updated data. In order to optimize the storage efficiency of the data in the distributed system without affecting the availability of th

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Mendoza-Labastida, José Abiel, Mireya Clavel-Maqueda, Orlando García-Pérez, and Eduardo Cornejo-Velazquez. "An empirical hybrid strategy for NoSQL database distribution." International Journal of Combinatorial Optimization Problems and Informatics 15, no. 1 (2024): 51–61. http://dx.doi.org/10.61467/2007.1558.2024.v15i1.435.

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Анотація:

A case study of a pharmaceutical distribution company with a relational database that is migrated to a document-oriented NoSQL database for which a hybrid distribution strategy based on fragmentation and replication is implemented. The legacy relational database schema was thoroughly analyzed and evaluated to determine the collections and documents needed to move all the data and leverage the capabilities of the document-based database. In addition, a hybrid data distribution strategy was designed to effectively balance the performance, scalability, and fault tolerance of the system. Finally,

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Arasteh, Bahman, Asgarali Bouyer, Reza Ghanbarzadeh, Alireza Rouhi, Mahsa Nazeri Mehrabani, and Erfan Babaee Tirkolaee. "DATA REPLICATION IN DISTRIBUTED SYSTEMS USING OLYMPIAD OPTIMIZATION ALGORITHM." Facta Universitatis, Series: Mechanical Engineering 21, no. 3 (2023): 501. http://dx.doi.org/10.22190/fume230707033a.

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Анотація:

Achieving timely access to data objects is a major challenge in big distributed systems like the Internet of Things (IoT) platforms. Therefore, minimizing the data read and write operation time in distributed systems has elevated to a higher priority for system designers and mechanical engineers. Replication and the appropriate placement of the replicas on the most accessible data servers is a problem of NP-complete optimization. The key objectives of the current study are minimizing the data access time, reducing the quantity of replicas, and improving the data availability. The current paper

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Hambardzumyan, Sasun. "Fault-tolerant replication in vector search systems." American Journal of Management and Economics Innovations 7, no. 07 (2025): 111–17. https://doi.org/10.37547/tajmei/volume07issue07-13.

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Анотація:

In this article, an analysis is carried out of the characteristics of fault-tolerant replication in vector search systems, driven by the rapid expansion of generative artificial intelligence capabilities and related methods, including Retrieval-Augmented Generation (RAG). The key challenge in this area is to guarantee both high availability and immutability of information, which is achieved through the implementation of various fault-tolerant replication schemes. The present study is aimed at the systematization and comparative analysis of existing replication models in the context of vector s

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