Meta-adaptation in autonomic systems

Hillman, J.; Warren, Ian

doi:10.1109/ftdcs.2004.1316629

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…The same principle of sensing information and synchronizing adaptation changes can be applied between hierarchical feedback loops that are located on different layers within the adaptation engine. Thus, a feedback loop on a higher layer can reflect ongoing adaptation activities of a lower layer, which further enables meta-adaptation as introduced by Hillman et al [99] and discussed in the preliminaries in Section 2.1.1. Salehie et al [156] present a hierarchy of self-* properties, where self-awareness and contextawareness are considered as primitive properties in an adaptive system.…”

Section: Runtime Model Integrationmentioning

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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Section: Runtime Model Integrationmentioning

confidence: 99%

“…The ability of adapting the adaptation engine itself is called meta-adaptation as introduced in Section 2.1.1 and requires an additional layer on top of the adaptation logic. Hillman et al [99] introduce a three layer architecture that realizes the meta-adaptation concept (R-17). The lowest layer contains the domain logic.…”

Section: Meta-adaptationmentioning

confidence: 99%

Modeling Collaborations in Adaptive Systems of Systems

Wätzoldt

Giese

2015

Proceedings of the 2015 European Conference on Software Architecture Workshops

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“…As pointed out by Oreizy [3], for a changing environment, not only the adaptive software needs to be changed to reflect new context requirements -the system adaptation behaviour itself should also evolve to reflect these changes. Hillman and Warren [5] denote this process as "meta-adaptation. "…”

Section: Introductionmentioning

confidence: 99%

Towards Meta-Adaptation Support with Reusable and Composable Adaptation Components

Gui

Florio

2012

2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems

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Software systems today are increasingly used in changing environments and expected to adapt with variable adaptation concerns. This requirement demands a systematic approach to efficiently construct system global adaptation behaviour according to the dynamic adaptation requirements. This paper presents Transformer -a framework for adaptation behaviour composition support based on reusable and composable adaptation components. Rather than using one adaptation module for all possible contexts, Transformer constructs system global adaptation behaviour by contextually fusing adaptation plans from multiple adaptation components. Explicit conflict resolution is provided to handle possible conflicts raised in the fusion process. In addition to the description of the Transformer framework, this paper also presents its implementation and its application to a video conferencing system. Qualitative analysis and simulation results show that our framework exhibits significant advantage over traditional approaches in light of flexibility and reusability of the adaptation components with little performance overhead.

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