Data fragmentation and replication are an essential issue in cloud databases, since
information demands are huge and improving performance through distributed database …

An efficient way to improve the performance of database systems is the distributed
processing. Therefore, the functionality of any distributed database system is highly …

Availability of accurate data on time is essential for medical decision making. Healthcare
organizations own a large amount of data in various systems. Researchers, health care …

Distributed databases have become the most essential technology for recent business
organizations. One of the main issues of the distributed database management system …

E‐learning is the indispensable technique to educate huge number of people and students
in short period of time with optimized usage of different kind of required resources. It is …

The performance and efficiency of the distributed database system (DDBS) design are
dependent on proper data fragmentation, reallocation, and replication of global relations. In …

In order to overcome the famous von Neumann bottleneck, FPGAs employ a dataflow model
that processes data through a pipeline of operator modules, akin to an assembly line for …

An efficient way of improving the performance of a database management system is
distributed processing. Distribution of data involves fragmentation or partitioning, replication …

Artificial Intelligence (AI) systems are computational simulations that are “educated” using
knowledge and individual expert participation to replicate a decision that a professional …

According to the widespread advance in technological industry, there has been an essential
need of high quality and speed methods for data transmission. In many field such as …