Baseline – Clients Affected by Poor Performance
The graph calculates the baseline for the percentage of clients affected by poor performance for all the clients over a period of time. We can also calculate if the client affected by poor performance is anomalous or not.
JSON Table
Attribute | Data Type | Description |
---|---|---|
type | String | It is a type of baseline. |
baseline | Float | It is client affected by poor performance baseline value for the time stamp. |
standardDeviation | Float | It is client affected by poor performance standard deviation value for the time stamp. |
anomalous | Boolean | This indicates if the clientaffected by poor performance observation is anomalous or not. |
timestamp | Int | It is time stamp for current data point in epoch time format. |
observation | Float | It is the client affected by poor performance observation value for the time stamp. |
absoluteObservation | Int | It is absolute value for the client affected by poor performance baseline observation. |
noOfSamplesForObservation | Int | It is no of samples considered for client affected by poor performance observation. |
threshold | Int | |
percentageClientsLowDataRate | Float | It is percentage of client for low data rate. |
noClientsLowDataRate | Int | It is no of client for low data rate. |
percentageClientsHighRetryRate | Float | It is percentage of clients for high retry rate. |
noClientsHighRetryRate | Int | It is no of client for high retry rate. |
percentageClientsLowRssi | Float | It is percentage of clients for low rssi. |
noClientsLowRssi | Int | It is no of clients for low rssi. |
percentageClientsSticky | Int | |
noClientsSticky | Int |
Copy Sample JSON
Sample JSON
[ { "type": "clientsperformance", "baseline": 24.82306720385911, "standardDeviation": 8.252812112574356, "anomalous": false, "timestamp": 1520299800000, "observation": 40.74074074074074, "absoluteObservation": 11, "noOfSamplesForObservation": 27, "threshold": 0, "percentageClientsLowDataRate": 37.03703703703704, "noClientsLowDataRate": 10, "percentageClientsHighRetryRate": 0, "noClientsHighRetryRate": 0, "percentageClientsLowRssi": 7.4074074074074066, "noClientsLowRssi": 2, "percentageClientsSticky": 0, "noClientsSticky": 0 }, { "type": "clientsperformance", "baseline": 24.885181359406726, "standardDeviation": 8.234669231451825, "anomalous": false, "timestamp": 1520300700000, "observation": 31.03448275862069, "absoluteObservation": 9, "noOfSamplesForObservation": 29, "threshold": 0, "percentageClientsLowDataRate": 31.03448275862069, "noClientsLowDataRate": 9, "percentageClientsHighRetryRate": 0, "noClientsHighRetryRate": 0, "percentageClientsLowRssi": 6.896551724137931, "noClientsLowRssi": 2, "percentageClientsSticky": 0, "noClientsSticky": 0 }, { "type": "clientsperformance", "baseline": 24.96966287914599, "standardDeviation": 8.236398191471398, "anomalous": false, "timestamp": 1520301600000, "observation": 33.33333333333333, "absoluteObservation": 9, "noOfSamplesForObservation": 27, "threshold": 0, "percentageClientsLowDataRate": 29.629629629629626, "noClientsLowDataRate": 8, "percentageClientsHighRetryRate": 3.7037037037037033, "noClientsHighRetryRate": 1, "percentageClientsLowRssi": 3.7037037037037033, "noClientsLowRssi": 1, "percentageClientsSticky": 0, "noClientsSticky": 0 }, { "type": "clientsperformance", "baseline": 25.271030362978827, "standardDeviation": 7.956794381707328, "anomalous": false, "timestamp": 1520313300000, "observation": 24.786324786324787, "absoluteObservation": 29, "noOfSamplesForObservation": 117, "threshold": 0, "percentageClientsLowDataRate": 17.094017094017094, "noClientsLowDataRate": 20, "percentageClientsHighRetryRate": 5.128205128205128, "noClientsHighRetryRate": 6, "percentageClientsLowRssi": 2.564102564102564, "noClientsLowRssi": 3, "percentageClientsSticky": 0, "noClientsSticky": 0 } ]
API Calls
/V5/baselines/clientsperformance