Modeling and Validating Dynamic Adaptation

Fleurey, Franck; Dehlen, Vegard; Bencomo, Nelly; Morin, Brice; Jézéquel, Jean-Marc

doi:10.1007/978-3-642-01648-6_11

Cited by 40 publications

(45 citation statements)

References 11 publications

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“…First, rule-based approaches specify the adaptation by some form of eventcondition-action (ECA) rules or policies [18,27,37,41,43,45,64]. An event triggers the adaptation process and conditions determine which reconfiguration action should be performed.…”

Section: Reasoning and Planning Adaptation Based On Runtime Modelsmentioning

confidence: 99%

Mechanisms for Leveraging Models at Runtime in Self-adaptive Software

et al. 2014

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Abstract. Modern software systems are often required to adapt their behavior at runtime in order to maintain or enhance their utility in dynamic environments. Models at runtime research aims to provide suitable abstractions, techniques, and tools to manage the complexity of adapting software systems at runtime. In this chapter, we discuss challenges associated with developing mechanisms that leverage models at runtime to support runtime software adaptation. Specifically, we discuss challenges associated with developing effective mechanisms for supervising running systems, reasoning about and planning adaptations, maintaining consistency among multiple runtime models, and maintaining fidelity of runtime models with respect to the running system and its environment. We discuss related problems and state-of-the-art mechanisms, and identify open research challenges.

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Section: Reasoning and Planning Adaptation Based On Runtime Modelsmentioning

confidence: 99%

Mechanisms for Leveraging Models at Runtime in Self-adaptive Software

et al. 2014

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“…The utilization of models at runtime is also common in approaches dealing with model-based design and adaptation of large, (self-) adaptive systems, like [14], [5] and [6]. The configuration of the systems and the possible adaptations are held in models at runtime.…”

Section: Approaches Utilizing Models At Runtimementioning

confidence: 99%

“…In [5] an adaptation model holds information about possible variants of the system, constraints expressing valid configurations of the system and rules defining when adaptations should be performed. A context model represents the environment of the application and is the basis for the adaptation rules.…”

Section: Approaches Utilizing Models At Runtimementioning

confidence: 99%

“…[11], the models have an either strong or sole prescriptive role. In self-adaptive systems, like [5] and [6], the utilized runtime models mostly have both, descriptive and specification, parts. On the other end, when runtime models are used for debugging and monitoring of applications (e.g.…”

Section: Generalizing Runtime Modelsmentioning

confidence: 99%

“…In Rainbow [6] the effectors are responsible of adapting to system to the current structure of the model. Probes, or sensors in [5], assure the information flow in the opposite direction -from the system and its environment into the model. We generalize such elements by the term of proxy elements.…”

Section: Identify the Causal Connectionmentioning

confidence: 99%

See 2 more Smart Citations

Meta-modeling Runtime Models

Lehmann

Blumendorf

Trollmann

et al. 2011

Models in Software Engineering

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Abstract. Runtime models enable the implementation of highly adaptive applications but also require a rethinking in the way we approach models. Metamodels of runtime models must be supplemented with additional runtime concepts that have an impact on the way how runtime models are built and reflected in the underlying runtime architectures. The goal of this work is the generalization of common concepts found in different approaches utilizing runtime models and the provision of a basis for their meta-modeling. After analyzing recent works dealing with runtime models, we present a metamodeling process for runtime models. Based on a meta-metamodel it guides the creation of metamodels combining design time and runtime concepts.

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Microservice transition and its granularity problem: A systematic mapping study

Hassan¹,

Bahsoon²,

Kazman

2020

Softw Pract Exp

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Microservices have gained wide recognition and acceptance in software industries as an emerging architectural style for autonomic, scalable, and more reliable computing. The transition to microservices has been highly motivated by the need for better alignment of technical design decisions with improving value potentials of architectures. Despite microservices' popularity, research still lacks disciplined understanding of transition and consensus on the principles and activities underlying that transition. In this paper, we report on a systematic mapping study that consolidates various views, approaches and activities that commonly assist in the transition to microservices. The study aims to provide a better understanding of the transition; it also contributes a working definition of the transition and technical activities underlying it. We term the transition and technical activities leading to microservice architectures as microservitization. We then shed light on a fundamental problem of microservitization: microservice granularity and reasoning about its adaptation as first-class entities. This study reviews state-of-the-art and-practice related to reasoning about microservice granularity; it reviews modeling approaches, aspects considered, guidelines and processes used to reason about microservice granularity. This study identifies opportunities for future research and development related to reasoning about microservice granularity.

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Modeling and Validating Dynamic Adaptation

Cited by 40 publications

References 11 publications

Mechanisms for Leveraging Models at Runtime in Self-adaptive Software

Mechanisms for Leveraging Models at Runtime in Self-adaptive Software

Meta-modeling Runtime Models

Microservice transition and its granularity problem: A systematic mapping study

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