Data replication is the main fault tolerance mechanism implemented by the Apache Hadoop
Distributed File System (HDFS). The placement of the data across the cluster directly affects …

When relational database systems could no longer keep up with the huge amounts of
unstructured data created by organizations, social media, and all other data-generating …

The design of Hadoop has ability to elimination of fault tolerance, which consists of
rescheduling the task on the defective nodes to run on other devices in the system …

The Hadoop Distributed File System (HDFS) is a reliable storage engine designed to run
over commodity hardware. To provide reliability and read performance, HDFS has a storage …

Distributed file systems are essential to support applications that handle large volumes of
data. One of the most widely used distributed file systems is the HDFS, the Apache Hadoop's …

In the professional world, the impact of big data is pulsating to change things. Data is
currently generated by a wide range of sensors that are part of smart devices. It necessitates …

La cuarta revolución industrial interactúa con otras vertientes como Cloud Computing,
Internet de las Cosas, Ciencia de Datos, Ingeniero de datos, Inteligencia Artificial con …

Load balancing is one of the important aspects of cloud computing. Its main goal is to
improve system performance and to reduce its cost. Cloud computing has a dedicated load …

With the increase in number of IoT devices day by day, a large amount of unstructured,
structured and semi-structured data is being generated, collectively termed as big data. The …

A Hadoop distributed file system (HDFS) NameNode dynamic load balancing strategy
(NDLBT) using improved niche particle swarm optimisation (PSO) is proposed, which is …