Handling New and Changing Requirements with Guarantees in Self-Adaptive Systems Using SimCA

Shevtsov, Stepan; Weyns, Danny; Maggio, Martina

doi:10.1109/seams.2017.3

Cited by 19 publications

(13 citation statements)

References 22 publications

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“…SimCA tackled the problem of multi-objective adaptation by combining controllers with the simplex optimization algorithm in a hierarchical structure. Then, SimCA* [49] introduced components that adjust the adaptation mechanism at runtime, to deal with new types of goals and changes in the set of adaptation goals (e.g., adding a new goal, removing a goal). Finally, the use of Model Predictive Control (MPC) was investigated.…”

Section: Automated Control-theoretical Software Adaptationmentioning

confidence: 99%

“…In order to address the two mentioned concerns, the SimCA approach (see Section 3.4) was reworked and upgraded into SimCA* [49]. Compared to original SimCA, the new approach includes an additional Goal Transformation phase ( Figure 6) and the necessary mechanisms to support changing system requirements by activating/deactivating goals (Figure 7).…”

Section: Adaptation With New and Changing Goalsmentioning

confidence: 99%

“…Generally speaking, when an explicit model is available, the spectrum of results that it is possible to obtain is much wider, opening up possibilities and allowing for more precise results. • SimCA [47] and SimCA* [49] lift some of the requirements on the modeling side. While no explicit disturbance model is written, the system parameters specified in the Simplex algorithm are part of prior knowledge that is given to the control strategy and that the controller does not have to identify based on experiments.…”

Section: Challengesmentioning

confidence: 99%

See 2 more Smart Citations

Self-Adaptation of Software Using Automatically Generated Control-Theoretical Solutions

Shevtsov

Weyns

Maggio

2019

Engineering Adaptive Software Systems

Self Cite

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Control theory has contributed a set of foundational techniques to handle "change" at runtime in software applications. These techniques however have fundamental limitations as well: (i) they require the development and understanding of mathematical models; (ii) synthesizing solutions is often done on a per-problem basis, discouraging flexibility and generality. Software engineering, as a discipline, has always aimed at finding reusable and modular solutions. The combination of the desire to apply formally grounded control-theoretical principles and reuse existing solutions has motivated research on the topic of automatically generated control solutions. This research aims at designing control strategies in an automated way from data that qualifies the given problem at hand. This chapter provides an overview of the research topic of automatically generated control-theoretical solutions, explaining the key research contributions and paving the way for future research.

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Section: Automated Control-theoretical Software Adaptationmentioning

confidence: 99%

Section: Adaptation With New and Changing Goalsmentioning

confidence: 99%

Section: Challengesmentioning

confidence: 99%

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Self-Adaptation of Software Using Automatically Generated Control-Theoretical Solutions

Shevtsov

Weyns

Maggio

2019

Engineering Adaptive Software Systems

Self Cite

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“…SimCA* (Simplex Control Adaptation) is a control-theoretical model that supports three types of goals or requirements [8]. Setpoints (S-reqs) are simple values the system should achieve.…”

Section: Control-based Approachesmentioning

confidence: 99%

“…Although SimCA* is a more formal and mathematical model than MAPE-K, for example, its use in practice does not require a mathematical background which might still make it attractive to a regular software engineer [8]. The problem with SimCA* is that several drastic changes during runtime result in frequent re-identification which is costly and may hinder performance.…”

Section: Control-based Approachesmentioning

confidence: 99%

Architecting Self-adaptive Software Systems

Huuhtanen

Mäkitalo

Mikkonen

2018

Current Trends in Web Engineering

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A growing number of software systems operate in uncertain environments. They benefit from an ability to autonomously adapt to changes during runtime without suffering from a lowered quality of service. Several different architectural approaches to self-adaptive software exist with their sources of inspiration varying from psychology to mathematics. In this literature survey, we study and evaluate four types of approaches: architecture-based, control-based, learning-based and awareness-based approaches. Our aim is to clarify whether a unified, general approach to computational self-adaptivity is possible and what it could look like. We conclude that a general solution should combine aspects of all of the studied approaches.

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Reasoning from First Principles for Self-adaptive and Autonomous Systems

Wotawa

2019

Predictive Maintenance in Dynamic Systems

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Handling New and Changing Requirements with Guarantees in Self-Adaptive Systems Using SimCA

Cited by 19 publications

References 22 publications

Self-Adaptation of Software Using Automatically Generated Control-Theoretical Solutions

Self-Adaptation of Software Using Automatically Generated Control-Theoretical Solutions

Architecting Self-adaptive Software Systems

Reasoning from First Principles for Self-adaptive and Autonomous Systems

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