Heuristics-based mediation for building smart architectures at run-time

Criado, Javier; Iribarne, Luís; Padilla, Nicolás

doi:10.1016/j.csi.2020.103501

Cited by 2 publications

(4 citation statements)

References 76 publications

(107 reference statements)

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“…The proposed architecture is not loosely coupled. Criado et al [7] proposed a heuristic solution based on the abstract definition of a software component and a set of available components to generate a configuration of a software architecture in the context of smart architectures for smart cities. They proposed a Domain-Specific Language (DSL) as the modeling language.…”

Section: Discussionmentioning

confidence: 99%

“…The necessity of monitoring systems through runtime models is presented in many works [3,[5][6][7][8]. Recent works, such as [6,17,18], address the problem of reconfiguring and changing the behavior of systems at runtime.…”

Section: Antecedentsmentioning

confidence: 99%

“…It can analyze software at runtime when they cope with everchanging software using models@runtime. Guérin et al [3], as well as other works [5][6][7][8], used models@runtime as a technique for monitoring and changing systems. Hence, the main advantage of models@runtime is the use of an abstraction of the running software in the form of a model to enable its reconfiguration by changing its behavior while the software is still running.…”

Section: Introductionmentioning

confidence: 99%

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Models@Runtime: The Development and Re-Configuration Management of Python Applications Using Formal Methods

et al. 2021

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Models@runtime (models at runtime) are based on computation reflection. Runtime models can be regarded as a reflexive layer causally connected with the underlying system. Hence, every change in the runtime model involves a change in the reflected system, and vice versa. To the best of our knowledge, there are no runtime models for Python applications. Therefore, we propose a formal approach based on Petri Nets (PNs) to model, develop, and reconfigure Python applications at runtime. This framework is supported by a tool whose architecture consists of two modules connecting both the model and its execution. The proposed framework considers execution exceptions and allows users to monitor Python expressions at runtime. Additionally, the application behavior can be reconfigured by applying Graph Rewriting Rules (GRRs). A case study using Service-Level Agreement (SLA) violations is presented to illustrate our approach.

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Section: Discussionmentioning

confidence: 99%

Section: Antecedentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Models@Runtime: The Development and Re-Configuration Management of Python Applications Using Formal Methods

et al. 2021

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“…WoT Thing Description (TD) [7] is the standard to describe things in terms of three interaction affordances (properties, actions and events), and allows us to build a repository of alternative component definitions. Therefore, these definitions can be inspected to find the most suitable components, for building or adapting a software architecture at runtime [9]. Some of the authors of this paper have made a number of proposals that, although not specific to smart cities, enable real-time data processing and notification in various IoT domains, including smart cities [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%