Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …

MapReduce is a widely used parallel computing framework for large scale data processing.
The two major performance metrics in MapReduce are job execution time and cluster …

As data volumes increase at a high speed in more and more application fields of science,
engineering, information services, etc., the challenges posed by data-intensive computing …

In this paper, we present a detailed evaluation of a set of well-known Machine Learning
classifiers in front of dynamic and non-deterministic software anomalies. The system state …

As data volumes processed by large-scale distributed data-intensive applications grow at
high-speed, an increasing I/O pressure is put on the underlying storage service, which is …

Infrastructure as a Service (IaaS) cloud computing has revolutionized the way we think of
acquiring resources by introducing a simple change: allowing users to lease computational …

Healthcare network information growth follows an exponential pattern, and current database
management systems cannot adequately manage this huge amount of data. It is necessary …

Retrieving relevant information in Big Data is a difficult task. Many approaches are used to
select highly relevant information. One of them is the Skyline operator, which is used to …

Embodiments of the invention relate to optimizing a file system for different types of
applications in a compute cluster using dynamic block size granularity. An exemplary …

Cloud computing has received significant attention recently. Delivering quality guaranteed
services in clouds is highly desired. Distributed file systems (DFSs) are the key component …