Considering Runtime Restrictions in Self-Healing Distributed Systems

Hardware failures in autonomous and distributed software systems create the need for self-healing activities. This work addresses the problem of redeploying software components affected by a hardware failure, while respecting several runtime constraints. In contrast to existing approaches, we do not only compute a new feasible system configuration, but make use of AI planning in order to derive a sequence of concrete deployment and undeployment actions that achieve this state. We also distinguish between application of every intermediate plan found and the single application of the final plan. These two plan application strategies are described and evaluated along with our novel solution approach.