Fragmentation is a design technique widely used in multimedia databases, because it
produces substantial benefits in reducing response times, causing lower execution costs in …

Continuous efforts on the improvement of existing techniques of data distribution methods
were shared by researchers' time-to-time. The purpose behind is to work for an effective …

Abstract In Distributed Database Systems (DDBS), communication costs and response time
have long been open-ended challenges. Nevertheless, when DDBS is carefully designed …

In this work, the agglomerative hierarchical clustering and K-means clustering algorithms
are implemented on small datasets. Considering that the selection of the similarity measure …

Data allocation problem (DAP) in distributed database systems is a NP-hard optimization
problem with significant importance in parallel processing environments. The solution of …

In the literature of distributed database system (DDBS), several methods sought to meet the
satisfactory reduction on transmission cost (TC) and were seen substantially effective. Data …

Usually, data quality is defined by multiple attributes that allow classifying the output data
(such as completeness, freshness, and accuracy) or the methods exploiting these data (such …

Data allocation problem (DAP) is of great importance in distributed database systems (DDS).
Minimizing the total cost of transactions and queries is the main objective of DAP which is …

With the growth of information technology and computer networks, there is a vital need for
optimal design of distributed databases with the aim of performance improvement in terms of …

The design of distributed database has became demanding with the increase in use of IoT
and cloud based services. Distributed database system's performance is totally relies on its …