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 …

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 …

Fog computing has attracted considerable attention to meet the location awareness and real-
time response requirements of various applications. However, compared to cloud …

Cloud environments have provided great help for the development of big data. Today, cloud
environments have become the most active platform for big data analysis applications …

Large volume of multi-structured and low-latency patient data are generated in healthcare
services, which is achallenging task to process and analyze within the Service Level …

Abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both
research and industrial communities that allow expressing and processing distributed …

Apache Hadoop framework supports the storing and processing of big data datasets using
simple programming models. Energy management has been recognized as one of the major …

MapReduce is a common framework that effectively processes multi-petabyte data in a
distributed manner. Therefore, MapReduce is widely used in heterogeneous environments …

In the current decade, doing the search on massive data to find “hidden” and valuable
information within it is growing. This search can result in heavy processing on considerable …

In this paper, we propose a scheduling scheme to minimize the deadline miss of jobs to
which deadlines are assigned when processing large multimedia data such as video and …