PaaS-BDP——基于平台即服务模型的大数据处理多云架构模式

Thalita Vergilio, M. Ramachandran
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引用次数: 5

摘要

本文提出了对大数据分析和软件架构领域的贡献,即从云消费者的角度为云中的大数据处理提供了一种新兴的、统一的架构模式。PaaS-BDP(大数据平台即服务)是一种基于资源池和使用统一编程模型的架构模式,用于构建能够处理批处理和流数据的大数据处理管道。它在PaaS服务模型上使用容器集群技术,以克服当前主要云提供商提供的大数据解决方案的常见缺点,如低可移植性、缺乏互操作性和供应商锁定风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PaaS-BDP - A Multi-Cloud Architectural Pattern for Big Data Processing on a Platform-as-a-Service Model
: This paper presents a contribution to the fields of Big Data Analytics and Software Architecture, namely an emerging and unifying architectural pattern for big data processing in the cloud from a cloud consumer’s perspective. PaaS-BDP (Platform-as-a-Service for Big Data) is an architectural pattern based on resource pooling and the use of a unified programming model for building big data processing pipelines capable of processing both batch and stream data. It uses container cluster technology on a PaaS service model to overcome common shortfalls of current big data solutions offered by major cloud providers such as low portability, lack of interoperability and the risk of vendor lock-in.
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