| Safe Haskell | None |
|---|
Ganeti.HTools.Cluster.Metrics
Description
Implementation of the cluster metric
Synopsis
- reservedMemRtotalCoeff :: Double
- detailedCVInfoExt :: [((Double, String), ([AggregateComponent] -> Statistics, Bool))]
- optimalCVScore :: List -> Double
- detailedCVInfo :: [(Double, String)]
- detailedCVWeights :: [Double]
- detailedCVAggregation :: [([AggregateComponent] -> Statistics, Bool)]
- detailedCVOnlineStatus :: [Bool]
- compDetailedCVNode :: Node -> [AggregateComponent]
- compClusterStatistics :: [Node] -> [Statistics]
- updateClusterStatistics :: [Statistics] -> (Node, Node) -> [Statistics]
- updateClusterStatisticsTwice :: [Statistics] -> (Node, Node) -> (Node, Node) -> [Statistics]
- compDetailedCV :: [Node] -> [Double]
- compCVfromStats :: [Statistics] -> Double
- compCVNodes :: [Node] -> Double
- compCV :: List -> Double
- printStats :: String -> List -> String
Documentation
reservedMemRtotalCoeff :: Double Source #
Coefficient for the total reserved memory in the cluster metric. We use a (local) constant here, as it is also used in the computation of the best possible cluster score.
detailedCVInfoExt :: [((Double, String), ([AggregateComponent] -> Statistics, Bool))] Source #
The names and weights of the individual elements in the CV list, together with their statistical accumulation function and a bit to decide whether it is a statistics for online nodes.
optimalCVScore :: List -> Double Source #
Compute the lower bound of the cluster score, i.e., the sum of the minimal values for all cluster score values that are not 0 on a perfectly balanced cluster.
detailedCVInfo :: [(Double, String)] Source #
The names and weights of the individual elements in the CV list.
detailedCVWeights :: [Double] Source #
Holds the weights used by compCVNodes for each metric.
detailedCVAggregation :: [([AggregateComponent] -> Statistics, Bool)] Source #
The aggregation functions for the weights
detailedCVOnlineStatus :: [Bool] Source #
The bit vector describing which parts of the statistics are for online nodes.
compDetailedCVNode :: Node -> [AggregateComponent] Source #
Compute statistical measures of a single node.
compClusterStatistics :: [Node] -> [Statistics] Source #
Compute the statistics of a cluster.
updateClusterStatistics :: [Statistics] -> (Node, Node) -> [Statistics] Source #
Update a cluster statistics by replacing the contribution of one node by that of another.
updateClusterStatisticsTwice :: [Statistics] -> (Node, Node) -> (Node, Node) -> [Statistics] Source #
Update a cluster statistics twice.
compDetailedCV :: [Node] -> [Double] Source #
Compute cluster statistics
compCVfromStats :: [Statistics] -> Double Source #
Compute the cluster score from its statistics
compCVNodes :: [Node] -> Double Source #
Compute the total variance.
printStats :: String -> List -> String Source #
Shows statistics for a given node list.