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Due to the fundamental trade-off between quality and timeliness of planning, designers of self-adaptive systems often have to compromise between an approach that is quick to find an adaptation plan and an approach that is slow but finds a quality adaptation plan. To deal with this trade-off, in our previous work, we proposed a hybrid planning approach that combines a deliberative and a reactive planning...
Decision-making approaches in self-adaptation face a fundamental trade-off between quality and timeliness of adaptation plans. Due to this trade-off, designers often have to make an offline compromise between finding adaptation plans quickly and finding closer-to-optimal plans that demand longer computation times. Recent work has proposed that hybrid planning can resolve this trade-off dynamically,...
Run-time generation of adaptation plans is a powerful mechanism that helps a self-adaptive system to meet its goals in a dynamically changing environment. In the past, researchers have demonstrated successful use of various automated planning techniques to generate adaptation plans at run time. However, for a planning technique, there is often a trade-off between timeliness and optimality of the solution...
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