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A Framework for Automated Fault Recovery Planning in Large-Scale Virtualized Infrastructures

  • Feng Liu
  • Vitalian A. Danciu
  • Pavlo Kerestey
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6473)

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.

Keywords

fault management AI planning virtualization cloud computing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Feng Liu
    • 1
  • Vitalian A. Danciu
    • 1
  • Pavlo Kerestey
    • 2
  1. 1.Munich Network Management TeamLudwig-Maximilians-UniversitätMünchen
  2. 2.Technische Universität MünchenGermany

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