Cloud computing is a modern paradigm to provide services through the Internet. Load
balancing is a key aspect of cloud computing and avoids the situation in which some nodes …

Big Data (BD) platforms have a long tradition of leveraging trends and technologies from the
broader computer network and communication community. For several years, dedicated …

To explore the data processing of high-speed railway fault signal diagnosis based on
MapReduce algorithm, the partitioning strategy of data flow was improved, and Bias …

Recently, increasingly large amounts of data are generated from a variety of sources.
Existing data processing technologies are not suitable to cope with the huge amounts of …

Upon graduation, a computer science student should have a good understanding of the
current technology and have the soft skills necessary to secure a position in industry …

Over the last decade, several interconnected disruptions have happened in the large scale
distributed and parallel computing landscape. The volume of data currently produced by …

Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses
Hadoop Distributed File System (HDFS) for storing data and uses MapReduce to process …

Profound attention to MapReduce framework has been caught by many different areas. It is
presently a practical model for data-intensive applications due to its simple interface of …

Big data has become part of the life for many people. The data about people's life are being
continously collected, analysized and applied as our society progresses into the big data …

Multi-label classification is one of the most dynamically growing fields of machine learning,
due to its numerous real-life applications in solving problems that can be described by …