NeoMycelia:大数据系统的软件参考架构

Pouya Ataei, A. Litchfield
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引用次数: 6

摘要

当数据的数量、速度和种类完全超过用于存储、操作和分析这些数据的系统时,大数据革命就开始了。因此,出现了一类新的软件系统,称为大数据系统。虽然许多人试图利用这些新系统的力量,但据估计,在过去十年中,大约75%的大数据项目失败了。其中一个根本原因是这些系统的软件工程和体系结构方面。本文旨在通过引入一个软件参考架构来促进大数据系统的开发。这项工作提供了一个事件驱动的微服务架构,解决了当前大数据参考架构(RA)中的特定限制。人工制品的开发遵循了基于经验的RAs的原则。通过开发一个解决实际问题的原型来评估RA。最后,给出了该参考体系结构的成功实现。结果表明,质量因子具有良好的适用性。
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NeoMycelia: A software reference architecturefor big data systems
The big data revolution began when the volume, velocity, and variety of data completely overwhelmed the systems used to store, manipulate and analyze that data. As a result, a new class of software systems emerged called big data systems. While many attempted to harness the power of these new systems, it is estimated that approximately 75% of the big data projects have failed within the last decade. One of the root causes of this is software engineering and architecture aspect of these systems. This paper aims to facilitate big data system development by introducing a software reference architecture. The work provides an event driven microservices architecture that addresses specific limitations in current big data reference architectures (RA). The artefact development has followed the principles of empirically grounded RAs. The RA has been evaluated by developing a prototype that solves a real-world problem in practice. At the end, succesful implementation of the reference architecture have been presented. The results displayed a good degree of applicability with respect to Quality factors.
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