Title
A framework for automated fault recovery planning in large-scale virtualized infrastructures
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.
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 Liu150.88
Vitalian A. Danciu2214.32
Pavlo Kerestey340.48