克服数据密集型系统开发挑战的架构方法
Architectural Approaches to Overcome Challenges in the Development of Data-Intensive Systems
AI总结:
本文针对数据密集型系统的构建与维护难题,综述其架构设计挑战,并梳理主流软件架构风格在应对这些挑战方面的潜力。
摘要:
现代软件系统向数据密集型处理的转向,在软件工程中引发了如何构建和维护此类系统的新难题。其中一些重要挑战涉及软件架构设计。本文综述了设计数据密集型计算系统时的基本挑战,并介绍了若干最流行的软件架构风格及其应对这些挑战的潜力。
英文摘要:
Orientation of modern software systems towards data-intensive processing raises new difficulties in software engineering on how to build and maintain such systems. Some of the important challenges concern the design of software architecture. In this article, we survey the fundamental challenges when designing data-intensive computing systems and present some of the most popular software architectural styles together with their potential to tackle these challenges.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。