A Simulation Tool for Feedback Loops and Self-Adaptive Patterns Clause Samples
This clause establishes the provision and use of a simulation tool designed to model feedback loops and self-adaptive patterns within a system or process. It typically outlines how the tool will be made available to relevant parties, the scope of its application, and any requirements for its use, such as data input standards or reporting protocols. By enabling stakeholders to visualize and test dynamic system behaviors, the clause helps ensure that adaptive mechanisms can be evaluated and refined before implementation, thereby reducing risk and improving system resilience.
A Simulation Tool for Feedback Loops and Self-Adaptive Patterns. In the SOTA space, a system is self-aware if it can autonomously recognize its current position and direction of movement in the space. Self-adaptation implies that the system is able to dynamically direct its trajectory in the SOTA space. Such capability necessarily requires the existence of feedback loops inside the system, to detect its current trajectory, and properly correct it on need to reach specific regions of the space, corresponding to specific application goals. To achieve this, SOTA defines several Figure 17: Performances with 4 obstacles architectural design patterns [ABZ12, CPZ11] in which feedback loops are organized. Many approaches on software engineering of self-adaptive systems propose solutions for their de- velopment, analysis and validation methods (e.g., [ADLMW09, TPYZ09]). However, few approaches (e.g., [MPS08, VWMA11, VRHR11]) provide explicit support for the engineering of feedback loops. In particular, limited attention has been given to providing tool support for simulating these feedback loops, and for understanding how such feedback loops should be architected. Thus, as a specific contribution, we are currently developing an Eclipse-based simulation plug-in [AHZ12] to support the engineering (i.e., modeling, animating and validating) of self-adaptive systems based on feedback loops. The plug-in is developed using the IBM Rational Software Architect Simulation Toolkit 8.0.4. Our approach is explored and validated using the basic scenario (S0) of the e-mobility case study [HZWS12].