There is no doubt that big data has become an important source of information and
knowledge, especially for large profitability companies such as Facebook and Amazon. But …

The Hadoop Distributed File System (HDFS) is the storage of choice when it comes to large-
scale distributed systems. In addition to being efficient and scalable, HDFS provides high …

As the importance of email increases, the amount of malicious email is also increasing, so
the need for malicious email filtering is growing. Since it is more economical to combine …

Spark big data processing platform is heavily used in today's IT services for various critical
applications such as machine learning tasks for service recommendations or massive …

The Hadoop distributed file system (HDFS) is responsible for storing very large data-sets
reliably on clusters of commodity machines. The HDFS takes advantage of replication to …

Distributed/parallel file systems commonly suffer from load imbalance and resource
contention due to the bursty characteristic exhibited in scientific applications. This article …

Remote Direct Memory Access (RDMA) has been widely used in distributed storage systems
as a low latency network technology, especially for the application of data replication. For …

Abstract The Hadoop Distributed File System (HDFS) is a robust and flexible file system
designed for reliably storing large volumes of data in distributed environments. Its storage …

SQL-on-Hadoop systems have been gaining popularity in recent years. One popular
example of SQL-on-Hadoop systems is Apache Hive; the pioneer of SQL-on-Hadoop …

Cloud storage utilization rapidly increases due to the on-demand availability of computer
system resources, especially computing power and storage requirements. It reduces the …