文档介绍：J put (2007) 39:3–18
DOI -006-0001-8
A high-puting method for data
allocation in distributed database systems
Ismail Omar Hababeh · Muthu Ramachandran ·
Nicholas Bowring
C Springer Science + Business Media, LLC 2007
Abstract Enhancing the performance of the DDBs (Distributed Database system) can be
done by speeding up putation of the data allocation, leading to higher speed allocation
decisions and resulting in smaller data redundancy and shorter processing time. This paper
deals with an integrated method for grouping the distributed sites into clusters and customiz-
ing the database fragments allocation to the clusters and their sites. We design a high speed
clustering and allocating method to determine which fragments would be allocated to which
cluster and site so as to maintain data availability and a constant systemic reliability, and
evaluate the performance achieved by this method and demonstrate its efficiency by means
of tabular and graphical representation. We tested our method over work sites and
found it reduces the data transferred between the sites during the execution time, minimizes
munication cost needed for processing applications, and handles the database queries
and meets their future needs.
Keywords High-performance data allocation . Communication cost . Clustering .
Fragment allocation . Simulation . Performance evaluation
I. O. Hababeh () . M. Ramachandran
Leeds Metropolitan University, Faculty of Information and Technology, School puting Leeds,
LS6 3QS, UK
e-mail: Ismail.******@
M. Ramachandran
e-mail: M.******@
N. Bowring
Manchester Metropolitan University, Department of Engineering & Technology,
Manchester, M1 5GD, UK
e-mail: N.******@
Springer
4 I. O. Hababeh et al.
1 Introduction
Considerable progress has been made in the last few years in improving the performance
of the distributed database systems. The development of data allocation models in DDBs
i