Incident Aggregation Models
GRLIA
Introduced by Chen et al. in Graph-based Incident Aggregation for Large-Scale Online Service SystemsGRLIA is an incident aggregation framework for online service systems based on graph representation learning over the cascading graph of cloud failures. A representation vector is learned for each unique type of incident in an unsupervised and unified manner, which is able to simultaneously encode the topological and temporal correlations among incidents.
Source: Graph-based Incident Aggregation for Large-Scale Online Service Systems
Papers
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Components
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