FRAGMENTATION TECHNIQUES FOR IDEAL PERFORMANCE IN DISTRIBUTED DATABASE – A SURVEY

Abstract

Distributed processing is an operative way to improve the performance of the distributed
database systems and thus showing the effectiveness of computational intelligence. A
specific arrangement of distributed processing through distributed database, where a
logically integrated database is physically scattered over several distinct but linked
through the computing facilities. Hence, proper fragmentation of data across numerous
sites of the network is considered as a significant exploration area in the distributed
database environment. Data can be allocated in distinct servers by fragmenting the
complete or partially database into several pieces with different techniques. Each piece is
stored at the different sites. In this paper, an exploration of fragmentation techniques in
distributed database is done. Fragmentation techniques had been proved by many
researches in improving the performance of the distributed database system, increase the
data accessibility, reduce the transfer cost and access time. This paper presents a survey
of numerous fragmentation techniques on distributed database systems.