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Editorial for Special issue of FGCS special issue on 'Benchmarking big data systems'

机译:FGCS专刊“大数据系统基准化”专刊社论

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Even though several big data processing and analytics systems have been introduced with various design architectures, we are still lacking a deeper understanding of the performance characteristics for the various design architectures in addition to lacking comprehensive benchmarks for the various Big Data platforms. There is a crucial need to conduct fundamental research with a more comprehensive performance evaluation for the various Big Data processing systems and architectures. We also lack the availability of validation tools, standard benchmarks, and system performance prediction methods that can help us have a deeper and more solid understanding of the strengths and weaknesses of the various Big Data processing platforms. This special issue is dedicated to original results and achievements by active researchers, designers, and developers working on various issues and challenges related to big data research. (C) 2019 Elsevier B.V. All rights reserved.
机译:尽管已经为各种设计架构引入了多个大数据处理和分析系统,但是我们仍然缺乏对各种设计架构的性能特征的更深入了解,此外还缺乏针对各种大数据平台的综合基准。迫切需要对各种大数据处理系统和体系结构进行基础研究,并对性能进行更全面的评估。我们还缺乏可用的验证工具,标准基准和系统性能预测方法,无法帮助我们对各种大数据处理平台的优缺点有更深入,更扎实的理解。本期专刊致力于研究与大数据研究相关的各种问题和挑战的活跃研究人员,设计师和开发人员的原始成果和成就。 (C)2019 Elsevier B.V.保留所有权利。

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