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Towards a Formal Framework for Hybrid Planning in Self-Adaptation

Ashutosh Pandey, Ivan Ruchkin, Bradley Schmerl and Javier Cámara.


In Proceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017), Buenos Aires, Argentina, 22-23 May 2017.

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Abstract
Approaches to self-adaptation face a fundamental trade-off between quality and timeliness in decision-making. Due to this trade-off, designers of self-adaptive systems often have to find a fixed and suboptimal compromise between these two requirements. Recent work has proposed the hybrid planning approach that can resolve this trade-off dynamically and potentially in an optimal way. The promise of hybrid planning is to combine multiple planners at run time to produce adaptation plans of the highest quality within given time constraints. However, since decision-making approaches are complex and diverse, the problem of combining them is even more difficult, and no frameworks for hybrid planning. This paper makes an important step in simplifying the problem of hybrid planning by formalizing it and decomposing it into four simpler subproblems. These formalizations will serve as a foundation for creating and evaluating engineering solutions to the hybrid planning problem.

Keywords: Planning, Self-adaptation.  
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