A new software architecture for the Wise Object Framework: Multidimensional Separation of Concerns
Résumé
Adaptive systems represent an appropriate solution to the increasing complexity of software-intensive systems. We developed WOF, a Wise Object Framework to develop self-adaptive software systems we name “Wise systems”. Those consist of distributed communicating software objects (Wise Objects: WOs) able to autonomously learn on how they behave and how they are used while demanding little attention from their users. A WO is either delivering a service (Awake state) or simulating its operation to learn behavior that has not occurred yet (Dream state). In its first version, WO architecture has been designed on the basis of a single component embedding built-in mechanisms for data monitoring and analysis. This architecture has major drawbacks we encountered when using WOF to develop new applications: (1) data and built-in mechanisms embedded within the WO does not allow using data by other components such as new analyzers, (2) raw data and data resulting from the analysis be them from Awake or Dream states are not distinguished, (3) mandatory components to self-adaptation are missing especially those for plan construction and execution. In this paper, we address those limitations through a MAPE-K compliant architecture, based on the Separation of Concerns(SoC) and an event-driven publish/subscribe mechanism. This is related to the general issue of wise systems maintenance, reuse and evolution. Separation of Concerns is done according to different dimensions that are managed using hyperslicing techniques.
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