scholarly journals Design and Implementation of EFSC Algorithm for Hybrid Representation of Distributed Databases

2021 ◽  
pp. 89-99
Author(s):  
D. Sahithi ◽  
Dr. J. Keziya Rani
Keyword(s):  
Distributed Databases ◽  
Distributed Database ◽  
Deductive Database ◽  
Management Systems ◽  
System Throughput ◽  
Design And Implementation ◽  
Access Frequency ◽  
Horizontal Partition ◽  
Base Connections ◽  
Distributed Database Management

In distributed database management systems, fragmenting base connections increases concurrency and hence system throughput for query processing. User queries use hybrid fragmentation methods focused on vector bindings, and deductive database implementations lack query-access-rule dependence. As a result, for hierarchical deductive information implementations, a hybrid fragmentation solution is used. The method considers the horizontal partition of base relations based on the bindings placed on user requests, then produces vertical fragments of the horizontally partitioned relations, and finally clusters rules based on attribute affinity and query and rule access frequency. The suggested fragmentation approach makes distributed deductive database structures easier to develop.

Trends in Improving Performances in Distributed Database Management Systems

2010 ◽  
pp. 396-422
Author(s):  
Ismail Omar Hababeh ◽  
Muthu Ramachandran
Keyword(s):  
Database Management ◽  
Real Life ◽  
Distributed Database ◽  
Database Management Systems ◽  
Database Management System ◽  
Management Systems ◽  
Data Allocation ◽  
Performance Improvements ◽  
Integrated Method ◽  
Distributed Database Management

Database technology has been a significant field to work in for developing real life applications in network information systems. An enterprise’s reliance on its network and database applications in Distributed Database Management systems (DDBMS) environment is likely to continue growing exponentially. In such a system the estimation and prediction of Quality of Service (QoS) performance improvements are crucial since it increases understanding the issues that affect the distributed database networking system behaviour; like database fragmentation, clustering database network sites, and data allocation and replication that would reduce the amount of irrelevant data and speed up the transactions response time. This chapter introduces the trends of database management systems DBMS and presents an integrated method for designing Distributed Relational networking Database Management System DRDBMS that efficiently and effectively achieves the objectives of database fragmentation, clustering database network sites, and fragments allocation and replication. It is based on high speed partitioning, clustering, and data allocation techniques that minimize the data fragments accessed and data transferred through the network sites, maximize the overall system throughput by increasing the degree of concurrent transactions processing of multiple fragments located in different sites, and result in better QoS design and decision support.

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