2014
DOI: 10.4236/jsea.2014.711080
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Abstract: The efficiency and performance of Distributed Database Management Systems (DDBMS) is mainly measured by its proper design and by network communication cost between sites. Fragmentation and distribution of data are the major design issues of the DDBMS. In this paper, we propose new approach that integrates both fragmentation and data allocation in one strategy based on high performance clustering technique and transaction processing cost functions. This new approach achieves efficiently and effectively the obje… Show more

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Cited by 12 publications
(8 citation statements)
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“…A MAC service data unit (MSDU) is passed down from the LLC layer if the size of the MSDU is greater than the fragmentation threshold and it is divided into smaller fragments. Each fragment, namely a MAC protocol data unit (MPDU), becomes a MAC layer frame with a MAC header [17]. Fragmentation can be used to improve the transmission reliability in hostile wireless environments because the probability of successful transmission increases as the size of MPDU decreases.…”
Section: Conventional Fragmentation Techniquementioning
confidence: 99%
“…A MAC service data unit (MSDU) is passed down from the LLC layer if the size of the MSDU is greater than the fragmentation threshold and it is divided into smaller fragments. Each fragment, namely a MAC protocol data unit (MPDU), becomes a MAC layer frame with a MAC header [17]. Fragmentation can be used to improve the transmission reliability in hostile wireless environments because the probability of successful transmission increases as the size of MPDU decreases.…”
Section: Conventional Fragmentation Techniquementioning
confidence: 99%
“…A distributed database can be implemented to improve the performance and reduce the cost of data access on a database. The process of designing a Distributed Databases is complex, so a data fragmentation (partitioning) scheme was used to facilitate a design process of a Distributed Databases (Al-Sayyed et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…This study was limited to test vertical fragmentation efficiency with Bond Energy Algorithm (BEA) and Graph-Based Vertical Partitioning (GBVP) algorithm. The main purpose of fragmentation is to minimize the number of access-related and share a relationship based on the efficiency of queries that are most frequently accessed (Al-Sayyed et al, 2014). To make the process of vertical fragmentation in the database to be tested, is based on the calculation of the algorithm Bond Energy (BEA) and the algorithm Graph-Based Vertical Partitioning (Rahimi and Riahi, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Distribute data by replicating databases using Asynchronous Distributed Database Technology in a single DBMS, cannot be used on other companies that still use different applications and different databases. Other researchers have examined some of his discoveries to distribute data by measuring the efficiency and performance of DDMS in fragmentation for the allocation of data grouping technique (based on Clustering Technique) namely Clustering Decision Value (CDV) to reduce the problem of redundancies of data on data redistribution [1].…”
Section: Introductionmentioning
confidence: 99%