MoPED: A Model-Based Provisioning Engine for Dependability in Component-Based Distributed Real-Time Embedded Systems

Sumant Tambe, Akshay Dabholkar, A. Gokhale
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引用次数: 2

Abstract

Developing dependable distributed real-time and embedded (DRE) systems incurs significant complexities in the radeoffs resulting from the different conflicting attributes of dependability, such as predictability, availability, and security. In component-based systems, these challenges are exacerbated since the tradeoffs must faithfully be reflected within the complex metadata descriptors used to compose, deploy and configure the system. The benefits of design-time approaches to address these problems are well-understood. Existing model-driven design time tools for developing dependable systems, however, focus largely on only one dependability attribute at a time and lack of extensibility results in rigid and hard to maintain tool support. This paper describes MoPED (Model-based Provisioning Engine for Dependability), which is a model-driven framework that unifies reasoning about predictability, availability, and security requirements for developing dependable component-based DRE systems. We evaluate the capabilities of MoPED using a representative case study and show how it alleviates complexities in the design of dependable systems and reduces manual efforts in the deployment phase by an order of magnitude.
基于模型的基于组件的分布式实时嵌入式系统可靠性供应引擎
开发可靠的分布式实时和嵌入式(DRE)系统会在可靠性的不同冲突属性(如可预测性、可用性和安全性)所导致的权衡中产生显著的复杂性。在基于组件的系统中,这些挑战更加严重,因为必须在用于组合、部署和配置系统的复杂元数据描述符中忠实地反映权衡。设计时方法解决这些问题的好处是众所周知的。然而,用于开发可靠系统的现有模型驱动的设计时工具一次主要只关注一个可靠性属性,并且缺乏可扩展性导致工具支持僵化且难以维护。本文描述了mop(基于模型的可靠性供应引擎),它是一个模型驱动的框架,它统一了关于开发可靠的基于组件的DRE系统的可预测性、可用性和安全性需求的推理。我们使用一个代表性的案例研究来评估mped的功能,并展示它如何减轻可靠系统设计中的复杂性,并在一个数量级上减少部署阶段的人工工作。
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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