Abstract
The papers in this special section focus on Big Data systems and emerging architectures. Big data has become a buzz word in recent years. Among various big-data challenges, high performance is a must, not an option. We are facing the challenges at all levels ranging from sophisticated algorithms and procedures to mine the gold from massive data to high-performance computing (HPC) techniques and systems to get the value of the data in time. Big data systems have been a fruitful research area, and many systems have been designed and developed for different kinds of big data including relational data, graphs, and data in other forms. Along the journey, open-source systems have been a major driving force in wide adoption of big data systems, for example, Apache Hadoop, Spark, Storm and Flink. The success of those systems has lowered the bar of handling big data, but even led to more prosperous big data applications and ecosystem.
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