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Autonomous State-Management Support in Distributed Self-adaptive Systems

机译：分布式自适应系统中的自主状态管理支持

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摘要

Modern systems are increasingly required to be adaptable in order to handle constantly changing environments. Adaptability is often based on the ability to adapt the behaviour of a running system where multiple implementations are available. Example of this are technologies such as reflective middleware and meta-models which offer control over how logic is wired together. While these technologies support high degrees of autonomous flexibility around the compute element of distributed systems, they completely neglect handling state}in an externally-managed, automated way. This paper advocates a reflective model over system state, to complement existing models that enable meta-management of behaviour. This concept has the potential to support an entirely new dimension of self-adaptive systems, offering a richer set of options to compose a system. We demonstrate a possible implementation of this concept by extending a lightweight component-based model; our implementation can transparently and generically relocate, replicate, and shard stateful components. Using a set of annotations, our framework constructs a pool of possible compositions which distribute any system using a variety of different state management options. We posit that this offers an unexplored dimension of self-adaptive systems, supporting novel concepts such as self-distributing systems which can emerge to best match their environment.
机译：为了适应不断变化的环境，越来越需要现代系统具有适应性。适应性通常基于适应具有多种实现方式的正在运行的系统的行为的能力。这样的示例是诸如反射中间件和元模型之类的技术，这些技术可控制逻辑如何连接在一起。尽管这些技术在分布式系统的计算元素周围支持高度的自治灵活性，但它们完全忽略了外部管理的自动化方式的处理状态。本文提倡对系统状态进行反思的模型，以补充对行为进行元管理的现有模型。该概念有可能支持自适应系统的全新维度，为组成系统提供了更多的选择集。通过扩展基于组件的轻量级模型，我们演示了此概念的可能实现;我们的实现可以透明，通用地重定位，复制和分片有状态组件。通过使用一组注释，我们的框架构造了一个可能的组合池，这些组合使用各种不同的状态管理选项来分发任何系统。我们认为，这提供了自适应系统的一个未探索的维度，支持了诸如新的概念，例如可以出现的最适合其环境的自分配系统。

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