Abstract
Multi-layered provisioning architectures such as those in emergent virtualized (e.g. cloud) infrastructures exacerbate the cost of faults to a degree where automation effectively constitutes a prerequisite for operations. The acquisition of management information and the execution of routine tasks have been automated to some degree; however the decision processes behind fault management in large-scale environments have not. This paper addresses automation of such decision processes by proposing a planning-based fault recovery algorithm based on hierarchical task networks and data models for the knowledge necessary to the recovery process. We embed these concepts in a generic architecture and evaluate its prototypical implementation with respect to function and scalability.
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Liu, F., Danciu, V.A., Kerestey, P. (2010). A Framework for Automated Fault Recovery Planning in Large-Scale Virtualized Infrastructures. In: Brennan, R., Fleck, J., van der Meer, S. (eds) Modelling Autonomic Communication Environments. MACE 2010. Lecture Notes in Computer Science, vol 6473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16836-9_10
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DOI: https://doi.org/10.1007/978-3-642-16836-9_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16835-2
Online ISBN: 978-3-642-16836-9
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