Data replication in distributed database systems in VANET environment

2011 ◽  
Author(s):  
Anton Lieskovsky ◽  
Jan Janech ◽  
Tomas Baca
Keyword(s):  
Data Replication ◽  
Database Systems ◽  
Distributed Database ◽  
Distributed Database Systems

Data Replication Impact on DDBS System Performance

2019 ◽  
pp. 134-162 ◽  
Author(s):  
Ali A. Amer
Keyword(s):  
System Performance ◽  
Data Distribution ◽  
Evaluation Process ◽  
Data Replication ◽  
Database Systems ◽  
Distributed Database ◽  
Communication Costs ◽  
Distributed Database Systems ◽  
Data Fragmentation ◽  
Heuristic Clustering

In distributed database systems (DDBS), the utmost purpose of data distribution and replication aims at shrinking transmission costs (TC), including communication costs, and response time. In this chapter, therefore, an enhanced heuristic clustering-based technique for data fragmentation and replicated based allocation is efficaciously presented. This work is mainly sought to further enhance an existing technique so TC is to be significantly minimized. In fact, the approached enhancement is applied by suggesting different replication scenarios. Off these scenarios, one scenario is to be selected based on competitive performance evaluation process. DDBS performance is measured via its being exposed on objective function (TC). Despite the fact that this work is mildly improved, yet evaluation results show that it has been promising, particularly as TC being the foremost design objective of DDBS System. Experimental results have been analyzed under all presented scenarios as an internal evaluation and are vividly provided to demonstrate the undeniable impact of data replication on DDBS performance.

Performance Evaluation of Distributed Database Systems

2014 ◽  
Vol 13 (9) ◽  
pp. 4859-4867
Author(s):  
Khaled Saleh Maabreh
Keyword(s):  
Performance Evaluation ◽  
System Performance ◽  
Operation Mode ◽  
Database Systems ◽  
Distributed Database ◽  
Evaluation Study ◽  
Distributed Database Systems ◽  
Different Types ◽  
Distributed Database System ◽  
Distributed Database Management

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.  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 replication. These parameters have played a major role in any performance evaluation study. This paper investigates the main parameters that may affect the system performance, which may help with configuring the distributed database system for enhancing the overall system performance.

scholarly journals Benchmarking scalability and elasticity of distributed database systems

2014 ◽  
Vol 7 (12) ◽  
pp. 1219-1230 ◽  
Author(s):  
Jörn Kuhlenkamp ◽  
Markus Klems ◽  
Oliver Röss
Keyword(s):  
Database Systems ◽  
Distributed Database ◽  
Distributed Database Systems
Sign in / Sign up

Export Citation Format

Share Document