Mechanisms for Leveraging Models at Runtime in Self-adaptive Software

Bennaceur, Amel; France, Robert; Tamburrelli, Giordano; Vogel, Thomas; Mosterman, Pieter J.; Cazzola, Walter; Costa, Fábio Luiz Paranhos; Pierantonio, Alfonso; Tichy, Matthias; Akşit, Mehmet; Emmanuelson, Pär; Huang, Gang; Georgantas, Nikolaos; Redlich, David

doi:10.1007/978-3-319-08915-7_2

Cited by 38 publications

(26 citation statements)

References 89 publications

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“…Speaking about related work which might serve as a puzzle piece (or at least inspiration) regarding the BSpace, in the adaptive systems and models at runtime research community, there are already many significant contributions regarding runtime models for managing requirements at runtime [9], adaptation at runtime [18,19], dealing with uncertainties [20], etc., which might be used in different dimensions of the B-Space (and with different purpose).…”

Section: Discussionmentioning

confidence: 99%

B-space: dynamic management and assurance of open systems of systems

Schneider

Trapp

2018

J Internet Serv Appl

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Connected cars, freely configurable operating rooms, or autonomous harvesting fleets: dynamically emerging open systems of systems will shape a new generation of systems opening up a vast potential for new kinds of applications. In light of the hard-to-predict structure and behavior of such systems, assuring their safety will require some disruptive changes of established safety paradigms. Combining current research results from different disciplines with industrial experience, this paper dares to think out of the box and look beyond the limits of traditional safety assurance. It structures upcoming challenges posed by the emergence of open systems of systems, tries to shift existing paradigms to meet those new challenges, and proposes an abstract conceptual framework building on comprehensive interlinked multi-concern runtime models for dynamically assuring the safety as well as other properties of open systems of systems. As there currently is no comprehensive realization of the framework, we discuss what kind of approaches could fit into which parts of the framework and exemplify this for the case of conditional safety certificates.

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Section: Discussionmentioning

confidence: 99%

B-space: dynamic management and assurance of open systems of systems

Schneider

Trapp

2018

J Internet Serv Appl

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“…Such an approach requires a causal connection that propagates changes of the adaptable software to the runtime model and changes of the model prescribing an adaptation to the software (cf. [4,6]). Thus, the monitoring and execution steps use the causal connection to synchronize the model and the adaptable software.…”

Section: Background: Models At Runtimementioning

confidence: 99%

“…However, implementing a causal connection is challenging as developers have to address the abstraction gap between the software and the architectural runtime model, assure the fidelity of the model with the running software, and achieve a runtime-efficient synchronization [4,6]. These aspects make the implementation of a causal connection a costly task considering, for instance, the complexity of the Rainbow solution that uses an architectural model of the Znn exemplar for self-adaptation [9,14].…”

Section: Background: Models At Runtimementioning

confidence: 99%

mRUBiS

Vogel

2018

Proceedings of the 13th International Conference on Software Engineering for Adaptive and Self-Managing Systems

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Self-adaptive software systems are often structured into an adaptation engine that manages an adaptable software by operating on a runtime model that represents the architecture of the software (model-based architectural self-adaptation). Despite the popularity of such approaches, existing exemplars provide application programming interfaces but no runtime model to develop adaptation engines. Consequently, there does not exist any exemplar that supports developing, evaluating, and comparing model-based self-adaptation off the shelf. Therefore, we present mRUBiS, an extensible exemplar for model-based architectural self-healing and self-optimization. mRUBiS simulates the adaptable software and therefore provides and maintains an architectural runtime model of the software, which can be directly used by adaptation engines to realize and perform self-adaptation. Particularly, mRUBiS supports injecting issues into the model, which should be handled by selfadaptation, and validating the model to assess the self-adaptation. Finally, mRUBiS allows developers to explore variants of adaptation engines (e.g., event-driven self-adaptation) and to evaluate the effectiveness, efficiency, and scalability of the engines. CCS CONCEPTS• Software and its engineering → Development frameworks and environments; Software development techniques;

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“…The are many research challenges associated with the use of model@run.time [13]. In the context of infrastructure management, we find the following to be the most import ones: -What is the right abstraction in which a multi-layer, multitier system infrastructure can be expressed?…”

Section: A Research Challenges and Limitationsmentioning

confidence: 99%

Infrastructure as runtime models: Towards Model-Driven resource management

Křikava

Rouvoy

Seinturier

2015

2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)

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The importance of continuous delivery and the emergence of tools allowing to treat infrastructure configurations programmatically have revolutionized the way computing resources and software systems are managed. However, these tools keep lacking an explicit model representation of underlying resources making it difficult to introspect, verify or reconfigure the system in response to external events.In this paper, we outline a novel approach that treats system infrastructure as explicit runtime models. A key benefit of using such models@run.time representation is that it provides a uniform semantic foundation for resources monitoring and reconfiguration. Adopting models at runtime allows one to integrate different aspects of system management, such as resource monitoring and subsequent verification into an unified view which would otherwise have to be done manually and require to use different tools. It also simplifies the development of various self-adaptation strategies without requiring the engineers and researchers to cope with low-level system complexities.

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Mechanisms for Leveraging Models at Runtime in Self-adaptive Software

Cited by 38 publications

References 89 publications

B-space: dynamic management and assurance of open systems of systems

B-space: dynamic management and assurance of open systems of systems

mRUBiS

Infrastructure as runtime models: Towards Model-Driven resource management

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