IMPLEMENTATION OF FRAGMENTATION AND REPLICATION METHODS IN DISTRIBUTED SYSTEMS

Anca-Georgiana Fodor () and Ion Lungu ()
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Anca-Georgiana Fodor: Romanian-American University, Bucharest, Romania
Ion Lungu: Academy of Economic Studies, Bucharest, Romania

Journal of Information Systems & Operations Management, 2016, vol. 10, issue 2, 373-383

Abstract: One of the most important elements of distributed systems is data distribution across the entire informational system. In order to benefit from a distributed system data architecture advantages, we need to create and implement such a data distribution design to be sure that we maximize the local data processing and minimize the cost of communication between sites of distributed system. Data distribution consists in three essential steps: data fragmentation, allocation and replication of data fragments to system’s sites. The decision of fragmentation differs from one system to another and there are a lot of ways to implement the data fragmentation. The key element is to find a solution which minimize the data selection and transfer between sites and minimize the access to disk, through a proper database indexing. This paper presents activities and steps to implement fragmentation and replication methods for building distributed database systems.

Date: 2016
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