Title | ||
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A framework for automated fault recovery planning in large-scale virtualized infrastructures |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1007/978-3-642-16836-9_10 | MACE |
Keywords | Field | DocType |
generic architecture,planning-based fault recovery algorithm,paper addresses automation,recovery process,management information,hierarchical task network,large-scale virtualized infrastructure,decision process,large-scale environment,data model,automated fault recovery planning,fault management,virtualization,ai planning,cloud computing | Management information systems,Data modeling,Computer science,Provisioning,Automation,Fault management,Automated planning and scheduling,Distributed computing,Scalability,Cloud computing | Conference |
Volume | ISSN | ISBN |
6473 | 0302-9743 | 3-642-16835-3 |
Citations | PageRank | References |
4 | 0.48 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Feng Liu | 1 | 5 | 0.88 |
Vitalian A. Danciu | 2 | 21 | 4.32 |
Pavlo Kerestey | 3 | 4 | 0.48 |