A Survey on Emerging Computing Paradigms for Big Data
A Survey on Emerging Computing Paradigms for Big Data
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DOI：
10.1049/cje.2016.11.016
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发表时间：
2017-01-01
影响因子：
1.2
通讯作者：
Liu Yaping
中科院分区：
文献类型：
--
作者：
Zhang Yaoxue;Ren Ju;Liu Yaping
数据量的爆炸式增长和数据价值提取需求的不断增长，将我们带入了大数据时代。大数据的“5V”（Variety, Velocity, Volume, Value, Veracity）特征对传统计算范式构成了巨大挑战，并激发了新解决方案的出现。云计算是利用虚拟化资源、并行处理和数据服务与可扩展数据存储集成的优势，进行大规模、复杂数据计算的代表性技术之一。然而，由于我们也正在经历物联网（IoT）的革命，云计算在支持轻量级终端设备方面的局限性严重阻碍了云计算在大数据和物联网时代交汇处的蓬勃发展。它还促进了提出新的计算范式的紧迫性。我们概述了大数据的主题，并全面调查了云计算及其相关技术如何应对大数据带来的挑战。然后，分析了云计算在大数据遇到物联网时的劣势，并引入了雾计算和透明计算两种很有前景的计算范式来支持物联网的大数据服务。最后，总结了一些开放的挑战和未来的方向，以促进对这一不断发展的研究领域的持续研究。
The explosive growth of data volume and the ever-increasing demands of data value extraction have driven us into the era of big data. The "5V" (Variety, Velocity, Volume, Value, and Veracity) characteristics of big data pose great challenges to traditional computing paradigms and motivate the emergence of new solutions. Cloud computing is one of the representative technologies that can perform massive-scale and complex data computing by taking advantages of virtualized resources, parallel processing and data service integration with scalable data storage. However, as we are also experiencing the revolution of Internet-of-things (IoT), the limitations of cloud computing on supporting lightweight end devices significantly impede the flourish of cloud computing at the intersection of big data and IoT era. It also promotes the urgency of proposing new computing paradigms. We provide an overview on the topic of big data, and a comprehensive survey on how cloud computing as well as its related technologies can address the challenges arisen by big data. Then, we analyze the disadvantages of cloud computing when big data encounters IoT, and introduce two promising computing paradigms, including fog computing and transparent computing, to support the big data services of IoT. Finally, some open challenges and future directions are summarized to foster continued research efforts into this evolving field of study.