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Guest Editors’ Introduction: Special Issue on Big Data Systems on Emerging Architectures

机译:客座编辑导言:新兴架构上的大数据系统专刊

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摘要

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.
机译:本节中的论文重点介绍大数据系统和新兴架构。近年来,大数据已成为流行语。在各种大数据挑战中,高性能是必须的,而不是选择。从复杂的算法和过程到从海量数据中挖掘金矿到高性能计算(HPC)技术和系统,我们都面临着各个层面的挑战,以及时获取数据的价值。大数据系统一直是一个富有成果的研究领域,并且针对不同种类的大数据(包括关系数据,图形和其他形式的数据)设计和开发了许多系统。在此过程中,开源系统一直是大数据系统广泛采用的主要驱动力,例如Apache Hadoop,Spark,Storm和Flink。这些系统的成功降低了处理大数据的门槛,但甚至导致了更繁荣的大数据应用程序和生态系统。

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