回顾NoSQL数据存储:为软件开发人员使用响应式三层应用程序来实现高可用性应用程序设计架构

W. Hendricks
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引用次数: 1

摘要

每个软件开发人员都需要理解应用程序体系结构是必不可少的。尽管如此,许多软件开发人员还是遵循软件架构师的设计,并相信软件架构师总是正确的。在过去几年中,设计和应用程序需求的变化发生了变化。然而,随着万维网(WWW)的兴起,软件开发者不得不在服务器上存储更多的数据。关系数据库不能在web服务器上快速扩展数据。应用程序从每个移动设备部署到托管在服务器上的云设备,由于这种变化,用户期望更快的响应时间。很少有经验证据可以帮助开发人员选择使用哪个数据存储。此外,更多的NoSQL数据存储被添加到生态系统中。在本文中,我们使用系统回顾来收集关于高可用性应用程序设计体系结构的最佳性能数据存储的证据。这篇综述使我们能够研究研究人员在NoSQL数据存储(即宽列、键值、图和文档存储)上进行的实验,以及使用哪种编程语言驱动程序来实现这些研究。我们的实证研究结果建议开发一个概念框架,为软件开发人员设计一个响应式三层应用程序,以实现高可用性应用程序设计体系结构。
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Review of NoSQL Data Stores: Using a reactive three-tier application for software developers to achieve a high availability application design architecture
Every software developer needs to understand that the application architecture is essential. Despite this, many software developers follow the design of software architects and believe that software architects are always right. Changes in the design and application requirements have changed in the last years. However, with the rise of the World Wide Web (WWW), software developers had to store more data on servers. Relational databases cannot scale the data fast enough on web servers. Applications are deployed on every mobile device to cloud devices hosted on servers, and because of this change, users expect faster response times. There is minimal empirical evidence to help developers choose which data store to use. In addition, more NoSQL data stores are added to the ecosystem. In this paper, we used a systematic review to collect evidence on the best performing data store for a highly available application design architecture. This review allowed us to study experiments performed by researchers on NoSQL data stores namely wide-column, key-value, graph and document stores and which programming language driver to use for implementing such research. Our empirical findings suggest to develop a conceptual framework to design a reactive three-tier application for software developers to achieve a high availability application design architecture.
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