A Generative Middleware Specialization Process for Distributed Real-Time and Embedded Systems

2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Pub Date : 2011-03-28 DOI:10.1109/ISORC.2011.32

Akshay Dabholkar, A. Gokhale

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引用次数: 5

Abstract

General-purpose middleware must often be specialized for resource-constrained, real-time and embedded systems to improve their response-times, reliability, memory footprint, and even power consumption. Software engineering techniques, such as aspect-oriented programming (AOP), feature-oriented programming (FOP), and reflection make the specialization task simpler, albeit still requiring the system developer to manually identify the system invariants, and sources of performance and memory footprint bottlenecks that determine the required specializations. Specialization reuse is also hampered due to a lack of common taxonomy to document the recurring specializations. This paper presents the GeMS (Generative Middleware Specialization) framework to address these challenges. We present results of applying GeMS to a Distributed Real-time and Embedded (DRE) system case study that depict a 21-35% reduction in footprint, and a ˜36% improvement in performance while simultaneously alleviating ˜97% of the developer efforts in specializing middleware.

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分布式实时和嵌入式系统的生成中间件专门化过程

通用中间件通常必须专门用于资源受限的实时和嵌入式系统，以改进它们的响应时间、可靠性、内存占用，甚至功耗。软件工程技术，例如面向方面的编程(AOP)、面向特性的编程(FOP)和反射，使专门化任务变得更简单，尽管仍然需要系统开发人员手动识别系统不变量，以及决定所需专门化的性能和内存占用瓶颈的来源。由于缺乏记录重复专门化的通用分类法，专门化重用也受到阻碍。本文提出了GeMS(生成中间件专门化)框架来解决这些挑战。我们展示了将GeMS应用于分布式实时和嵌入式(DRE)系统案例研究的结果，该研究描述了占地面积减少21-35%，性能提高约36%，同时减轻了开发人员在专门中间件上的约97%的工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing

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