A language and framework for dynamic component ensembles in smart systems

Bureš, Tomáš; Gerostathopoulos, Ilias; Hnětynka, Petr; Plášil, František; Krijt, Filip; Vinárek, Jiří; Kofroň, Jan

doi:10.1007/s10009-020-00558-z

Cited by 20 publications

(14 citation statements)

References 23 publications

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“…Thus, rapid technological advances may be one of the reasons why system smartness means a different thing for everyone dealing with it! Bures et al (2020) discussed that smart systems manifest as a heterogeneous, interconnected landscape of various applications of Internet of things, CPSs, and/or smart sensing systems. Furthermore, they saw a typical smart system application as the compositions of autonomous yet inherently cooperating components, including hardware units running upon specific networks and associated software components, achieving smartness by sensing and operation, both in an autonomous and in a collaborative manner.…”

Section: Smartness Of Systemsmentioning

confidence: 99%

Connectors of smart design and smart systems

Horváth

2021

AIEDAM

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Though they can be traced back to different roots, both smart design and smart systems have to do with the recent developments of artificial intelligence. There are two major questions related to them: (i) What way are smart design and smart systems enabled by artificial narrow, general, or super intelligence? and (ii) How can smart design be used in the realization of smart systems? and How can smart systems contribute to smart designing? A difficulty is that there are no exact definitions for these novel concepts in the literature. The endeavor to analyze the current situation and to answer the above questions stimulated an exploratory research whose first findings are summarized in this paper. Its first part elaborates on a plausible interpretation of the concept of smartness and provides an overview of the characteristics of smart design as a creative problem solving methodology supported by artificial intelligence. The second part exposes the paradigmatic features and system engineering issues of smart systems, which are equipped with application-specific synthetic system knowledge and reasoning mechanisms. The third part presents and elaborates on a conceptual model of AI-based couplings of smart design and smart systems. The couplings may manifest in various concrete forms in real life that are referred to as “connectors” in this paper. The principal types of connectors are exemplified and discussed. It has been found that smart design tends to manifest as a methodology of blue-printing smart systems and that smart systems will be intellectualized the enablers of implementation of smart design. Understanding the affordances of and creating proper connectors between smart design and smart systems need further explorative research.

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Section: Smartness Of Systemsmentioning

confidence: 99%

Connectors of smart design and smart systems

Horváth

2021

AIEDAM

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“…The paper "A language and framework for dynamic component ensembles in smart systems" [20] by Tomáš Bureš, Ilias Gerostathopoulos, Petr Hnetynka, František Plášil, Filip Krijt, Jiří Vinárek, and Jan Kofron presents the "Trait-based COmponent Ensemble Language" TCOEL. This specification and architecture description language builds on the experience on using DEECo [21] within the same group and is based on the consideration that in complex real-life systems ensembles may overlap, be nested, and dynamically formed and dismantled in a distributed environment.…”

Section: Attribute-based Programmingmentioning

confidence: 99%

Rigorous engineering of collective adaptive systems: special section

Nicola

Jähnichen

Wirsing

2020

Int J Softw Tools Technol Transfer

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An adaptive system is able to adapt at runtime to dynamically changing environments and to new requirements. Adaptive systems can be single adaptive entities or collective ones that consist of several collaborating entities. Rigorous engineering requires appropriate methods and tools that help guaranteeing that an adaptive system lives up to its intended purpose. This paper introduces the special section on "Rigorous Engineering of Collective Adaptive Systems." It presents the seven contributions of the section and gives a short overview of the field of rigorously engineering collective adaptive systems by structuring it according to three topics: systematic development, methods and theories for modelling and analysis, and techniques for programming and operating collective adaptive systems.

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“…To describe and run autonomous systems like the running example, we employ our approach of autonomic component ensembles [16]. Via this approach, entities of a system (drones, chargers, but also persons, animals, etc.)…”

Section: Description Of Autonomous Operationsmentioning

confidence: 99%

“…In the rest of this section, we model the example shown in Section 2 in ensembles and provide details about the implementation. For simple and easy development and experimentation with ensembles, we have created a Scala-based internal domainspecific language (DSL) to specify components and ensembles called TCOEL [16]. Creating the DSL as an internal one allowed for its rapid development (there is no need to create a full toolchain for it), however the small downside is that its users need to have at least partial knowledge of the Scala language.…”

Section: Description Of Autonomous Operationsmentioning

confidence: 99%

“…In this paper, we describe an approach of autonomically composable and context-dependent rules for describing cooperation among autonomic components a system is composed of. The approach is based on our ongoing work on autonomic component ensembles [16], which are situation-dependent collaboration groups. In particular, we use the Trait-based COmponent Ensemble Language (TCOEL) and the Trait-based COmponent Ensemble Framework (TCOEF), which allow for specifying ensembles in more complex hierarchical situations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using component ensembles for modeling autonomic component collaboration in smart farming

Hnětynka

Bureš

Gerostathopoulos

et al. 2020

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

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Smart systems have become key solutions for many application areas including autonomous farming. The trend we can see now in the smart systems is that they shift from single isolated autonomic and self-adaptive components to larger ecosystems of heavily cooperating components. This increases the reliability and often the cost-effectiveness of the system by replacing one big costly device with a number of smaller and cheaper ones. In this paper, we demonstrate the effect of synergistic collaboration among autonomic components in the domain of smart farming-in particular, the use-case we employ in the demonstration stems from the AFar-Cloud EU project. We exploit the concept of autonomic component ensembles to describe situation-dependent collaboration groups (so called ensembles). The paper shows how the autonomic component ensembles can easily capture complex collaboration rules and how they can include both controllable autonomic components (i.e. drones) and non-controllable environment agents (flocks of birds in our case). As part of the demonstration, we provide an open-source implementation that covers both the specification of the autonomic components and ensembles of the use case, and the discrete event simulation and real-time visualization of the use case. We believe this is useful not only to demonstrate the effectiveness of architectures of collaborative autonomic components for dealing with real-life tasks, but also to build further experiments in the domain. CCS CONCEPTS• Computer systems organization → Self-organizing autonomic computing; • Software and its engineering → Domain specific languages; • Applied computing → Agriculture.

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A language and framework for dynamic component ensembles in smart systems

Cited by 20 publications

References 23 publications

Connectors of smart design and smart systems

Connectors of smart design and smart systems

Rigorous engineering of collective adaptive systems: special section

Using component ensembles for modeling autonomic component collaboration in smart farming

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