Resource scheduling is indispensable for enhancing the system performance during big
data processing on clouds. It is highly useful for attaining significant utilization of computing …

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 …

Image pattern recognition in the field of big data has gained increasing importance and
attention from researchers and practitioners in many domains of science and technology …

Recent years have witnessed the booming of big data analytical applications (BDAAs). This
trend provides unrivaled opportunities to reveal the latent patterns and correlations …

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 …

This work addresses the optimization of file locality, file availability, and replica migration
cost in a Hadoop architecture. Our optimization algorithm is based on the Non-dominated …

Bottleneck issues handled in the field of information retrieval are analysis of query and
management of data storage. Hadoop is a large scale environment that is supported with …

Data replication is widely used in cloud storage and data grid to improve the parallel service
efficiency and the performance of system, which can promote the file availability and system …

Abstract Nowadays, Big Data image processing is very much in need due to its proven
success in the field of business information system, medical science and social media …