Improving network systems performance by clustering distributed database sites |
| |
Authors: | Ismail Hababeh |
| |
Affiliation: | 1.IT Department—UGRU,UAE University,Al-Ain,UAE |
| |
Abstract: | Clustering network sites is a vital issue in parallel and distributed database systems DDBS. Grouping distributed database
network sites into clusters is considered an efficient way to minimize the communication time required for query processing.
However, clustering network sites is still an open research problem since its optimal solution is NP-complete. The main contribution
in this field is to find a near optimal solution that groups distributed database network sites into disjoint clusters in
order to minimize the communication time required for data allocation. Grouping a large number of network sites into a small
number of clusters effectively increases the transaction response time, results in better data distribution, and improves
the distributed database system performance. We present a novel algorithm for clustering distributed database network sites
based on the communication time as database query processing is time dependent. Extensive experimental tests and simulations
are conducted on this clustering algorithm. The experimental and simulation results show that a better network distribution
is achieved with significant network servers load balance and network delay, a minor communication time between network sites
is realized, and a higher distributed database system performance is recognized. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|