Living with Uncertainty in the Age of Runtime Models

Giese, Holger; Bencomo, Nelly; Pasquale, Liliana; Ramirez, Andres J.; Inverardi, Paola; Wätzoldt, Sebastian; Clarke, Siobhán

doi:10.1007/978-3-319-08915-7_3

Cited by 56 publications

(53 citation statements)

References 66 publications

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“…1. The National Academy of Science and Engineering emphasizes the evolution of self-contained embedded systems to Cyber-Physical Systems (CPS) into the Internet of Things (IoT) [69].…”

Section: Research Challenges and Goalsmentioning

confidence: 99%

“…Moreover, a running example for this thesis is introduced that is used for explaining the Deurema modeling language concepts. This chapter is partially based on definitions and terms as already introduced in the own former work in [1,3,11].…”

Section: Structurementioning

confidence: 99%

“…There are varying definitions of a model depending on its purpose of usage. This thesis follows the definition from own former work in [1] that describe three main characteristics of a model.…”

Section: Modelmentioning

confidence: 99%

“…Currently, there are different opinions in literature about what exactly a runtime model is and what not. In the following, a definition for runtime models is given on basis of the former own work in [1,9] that is used for the rest of this thesis. Afterwards, differences between other opinions from literature and related research approaches are discussed.…”

Section: Runtime Modelmentioning

confidence: 99%

“…Definition Runtime Model: (1) A runtime model is a model that describes information of interest of the system or system context. (2) The runtime model is maintained by the system and accessible during the system execution.…”

Section: Runtime Modelmentioning

confidence: 99%

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Modeling Collaborations in Adaptive Systems of Systems

Wätzoldt

Giese

2015

Proceedings of the 2015 European Conference on Software Architecture Workshops

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Recently, due to an increasing demand on functionality and flexibility, beforehand isolated systems have become interconnected to gain powerful adaptive System of Systems (SoS) solutions with an overall robust, flexible and emergent behavior. The adaptive SoS comprises a variety of different system types ranging from small embedded to adaptive cyber-physical systems. On the one hand, each system is independent, follows a local strategy and optimizes its behavior to reach its goals. On the other hand, systems must cooperate with each other to enrich the overall functionality to jointly perform on the SoS level reaching global goals, which cannot be satisfied by one system alone. Due to difficulties of local and global behavior optimizations conflicts may arise between systems that have to be solved by the adaptive SoS.This thesis proposes a modeling language that facilitates the description of an adaptive SoS by considering the adaptation capabilities in form of feedback loops as first class entities. Moreover, this thesis adopts the Models@runtime approach to integrate the available knowledge in the systems as runtime models into the modeled adaptation logic. Furthermore, the modeling language focuses on the description of system interactions within the adaptive SoS to reason about individual system functionality and how it emerges via collaborations to an overall joint SoS behavior. Therefore, the modeling language approach enables the specification of local adaptive system behavior, the integration of knowledge in form of runtime models and the joint interactions via collaboration to place the available adaptive behavior in an overall layered, adaptive SoS architecture.Beside the modeling language, this thesis proposes analysis rules to investigate the modeled adaptive SoS, which enables the detection of architectural patterns as well as design flaws and pinpoints to possible system threats. Moreover, a simulation framework is presented, which allows the direct execution of the modeled SoS architecture. Therefore, the analysis rules and the simulation framework can be used to verify the interplay between systems as well as the modeled adaptation effects within the SoS. This thesis realizes the proposed concepts of the modeling language by mapping them to a state of the art standard from the automotive domain and thus, showing their applicability to actual systems. Finally, the modeling language approach is evaluated by remodeling up to date research scenarios from different domains, which demonstrates that the modeling language concepts are powerful enough to cope with a broad range of existing research problems.-I - Zusammenfassung

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“…1. The National Academy of Science and Engineering emphasizes the evolution of self-contained embedded systems to Cyber-Physical Systems (CPS) into the Internet of Things (IoT) [69].…”

Section: Research Challenges and Goalsmentioning

confidence: 99%

Section: Structurementioning

confidence: 99%

Section: Modelmentioning

confidence: 99%

Section: Runtime Modelmentioning

confidence: 99%

Section: Runtime Modelmentioning

confidence: 99%

See 3 more Smart Citations