高性能计算增强Apache大数据栈

G. Fox, J. Qiu, Supun Kamburugamuve, S. Jha, André Luckow
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引用次数: 43

摘要

我们回顾了高性能计算增强Apache大数据堆栈HPC-ABDS,并总结了21个确定的架构层的功能。这些内容包括消息和数据协议、分布式协调、安全和隐私、监控、基础设施管理、DevOps、互操作性、文件系统、集群和资源管理、数据传输、文件管理、NoSQL、SQL (NewSQL)、提取工具、对象关系映射、内存缓存和数据库、进程间通信、批处理编程模型和运行时、流处理、高级编程、应用程序托管和PaaS、库和应用程序、工作流和编排。我们总结了这些层的现状,重点关注数据分析的重要问题。我们强调了HPC和ABDS有很好的整合机会的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack
We review the High Performance Computing Enhanced Apache Big Data Stack HPC-ABDS and summarize the capabilities in 21 identified architecture layers. These cover Message and Data Protocols, Distributed Coordination, Security & Privacy, Monitoring, Infrastructure Management, DevOps, Interoperability, File Systems, Cluster & Resource management, Data Transport, File management, NoSQL, SQL (NewSQL), Extraction Tools, Object-relational mapping, In-memory caching and databases, Inter-process Communication, Batch Programming model and Runtime, Stream Processing, High-level Programming, Application Hosting and PaaS, Libraries and Applications, Workflow and Orchestration. We summarize status of these layers focusing on issues of importance for data analytics. We highlight areas where HPC and ABDS have good opportunities for integration.
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