Adaptation Architecture in Action Sample Clauses

Adaptation Architecture in Action. ‌ In this section, we illustrate on the motivation example the adaptation architecture interaction at run- time. At first (phase 1, Figure 2), the ensemble distributes the MonitorDefs of both Af and Ab from Planner of A to the Device component of the mobile device (M), which subsequently spawns Monitors for both components and sets them to the running mode. The Monitors start measuring NFPData of the running components which are then aggregated back to the Planner. So far no deployment alternatives are discovered. After the stationary device (S) is discovered (phase 2, Figure 2), the ensemble propagates Mon- itorDefs of the components that could be (potentially) migrated (i.e., Ab) to its Device component, which spawns a new Monitor. Since Ab is deployed on a different Device this Monitor runs in the mock mode. Thus, the Device component of the stationary device feeds the Monitor with NFPDevice- Data allocated for A. Based on this NFPDeviceData and the performance dependency model of Ab the Monitor produces NFPData reflecting the expected performance of Ab on S. Consequently, another ensemble aggregates all the currently produced NFPData for Af and Ab to the Planner. The Planner thus eventually discovers that there are two deployment alternatives for Ab (i.e., one actually running on M and one modeled on S) and finally decides to deploy Ab on the stationary device. After Ab is migrated to the stationary device (phase 3, Figure 2), the Monitor on S is set to the running mode, while the Monitor on M is set to the mock mode and the whole monitoring and planning process repeats. In the case of discovering further stationary devices, new Monitors in the mock mode are spawned which eventually results in new deployment alternatives aggregated in the Planner (similarly, if de- vices disappear). 6 Designing Performance-Based Adaptation‌ In order to fully leverage the advantages of performance awareness, performance-based adaptation strategies are needed. Such strategies stand as possible remedies in face of performance degradation and add to the robustness and fault-tolerance of the system under development. To this end, this section builds on the Invariant Refinement Method (IRM) [KBP+13, BGeH+12], which guides the design of an application from high-level strategic goals and (performance) requirements to their realization in terms of system architecture with design alternatives, corresponding to different adaptation strategies. The main idea of IRM is to capture t...
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