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 …

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 …

针对大数据环境下并行谱聚类算法存在的节点负载不均衡, 冗余计算, 矩阵相乘时间开销大以及
初始簇中心敏感等问题, 提出了基于KD (k-dimension) 树和混沌蜉蝣优化算法的并行谱聚类算法 …

The integration and crosscoordination of big data processing and software‐defined
networking (SDN) are vital for improving the performance of big data applications. Various …

The application of big data in health care is a fast-growing field, with many discoveries and
methodologies published in the last five years. Big data refers to datasets that are not only …

From a bird's eye point of view, large-scale data analytics workflows, eg, those executed in
popular tools, such as Apache Spark and Flink, are typically represented by directed acyclic …

The traditional RDBMS is not sufficient to manage highly scalable web log data. Hadoop
framework can overcome the problems raised in traditional systems. Hadoop is a …

In the education sector, the Internet of Things (IoT) technology, integrated with fog-cloud
computing, has offered productive services. Motivated by this, the smart recommender …

The smart building notion merges the pervasive sensing ability of IoT technology with the
industrial infrastructure to automate decision-making during disastrous emergency …

Industry 4.0 production environments and smart manufacturing systems integrate both the
physical and decision-making aspects of manufacturing operations into autonomous and …