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Editorial for FGCS special issue: Big Data in the cloud

机译:FGCS特刊社论:云中的大数据

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摘要

Research associated with Big Data in the Cloud will be important topic over the next few years. The topic includes work on demonstrating architectures, applications, services, experiments and simulations in the Cloud to support the cases related to adoption of Big Data. A common approach to Big Data in the Cloud to allow better access, performance and efficiency when analysing and understanding the data is to deliver Everything as a Service. Organisations adopting Big Data this way find the boundaries between private clouds, public clouds and Internet of Things (IoT) can be very thin. Volume, variety, velocity, veracity and value are the major factors in Big Data systems but there are other challenges to be resolved. The papers of this special issue address a variety of issues and concerns in Big Data, including: searching and processing Big Data, implementing and modelling event and workflow systems, visualisation modelling and simulation and aspects of social media.
机译:在未来几年中,与云中的大数据相关的研究将成为重要的主题。该主题包括有关在云中演示架构,应用程序,服务,实验和模拟的工作,以支持与采用大数据有关的案例。为了在分析和理解数据时提供更好的访问,性能和效率,在云中使用大数据的通用方法是交付“一切即服务”。以这种方式采用大数据的组织发现,私有云,公共云和物联网(IoT)之间的界限可能非常薄。数量,种类,速度,准确性和价值是大数据系统中的主要因素,但还有其他挑战需要解决。本期特刊的论文涉及大数据中的各种问题和关注点,包括:搜索和处理大数据,实现和建模事件与工作流系统,可视化建模和模拟以及社交媒体的各个方面。

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