Physical Server CPU Utilization Forecast

You can determine whether physical server CPU utilization is trending up or down, view forecasts, and predict when warning or critical thresholds are reached.

When CPU use for the physical server on which virtual machines are installed is at or above 80 percent, applications on the system can become slow or stop responding completely. Use this workspace to view warning and critical threshold levels and monitor your servers. CPU use. The data that the monitoring agent gathers from a system is used to create forecasts for 7, 30, and 90 days to help you identify which systems require attention, and when systems are likely to reach a predetermined threshold.

The predefined Physical Server CPU Utilization Forecast Overview workspace provides different table views that enable you to view warning and critical threshold levels and forecasts for every server. Each column in each table displays output attribute information:

Physical Server CPU Utilization Forecast Overview

This table displays forecast summary information for the monitored systems. It contains the following columns:

• VM Agent Node, indicating the monitoring agent responsible for monitoring the Virtual Center or the ESX server to which the forecast applies. An upward arrow indicates an upward trend; a downward arrow indicates a downward trend. A horizontal arrow indicates that the trend is not rising and not falling.
• Server Name, indicating the physical server on which the virtual machine is installed and to which the forecast applies.
• Confidence, indicating the confidence in the predicted trend, presented as a percentage, 0-100%. Systems for which the Confidence is less than 20% are displayed in red.
• Strength, indicating the strength of the trend based on a combination of the Confidence and Number of Samples. Strength is a value of 1 (weak), 2 (moderate), or 3 (strong). Systems for which the Strength equals 1 (weak) are displayed in red.
• Number of Samples, indicating the number of data points used as input for the Least Squares Regression calculation to predict the trend of the data.
• Time To Warning Threshold, which displays the number of days until the warning threshold for the monitored system is reached. Systems with less than seven days until the warning threshold is reached are displayed in yellow. If a threshold is zero, either the threshold has been passed, or it is beyond the scope of the calculation. Thresholds with a value of zero are not highlighted. The threshold value is determined by the associated task and the notification period is determined by the associated situation.
• Time To Critical Threshold, which displays the number of days until the critical threshold for the monitored system is reached. Systems with less than seven days until the critical threshold is reached are displayed in red. If a threshold is zero, either the threshold has been passed, it will not be reached, or it is beyond the scope of the calculation. Thresholds with a value of zero are not highlighted. The threshold value is determined by the associated task and the notification period is determined by the associated situation.

Click the link icon to the left of the table, to see:

• The Forecast Details for a particular forecast calculation on the Physical Server CPU Utilization Forecast Details workspace.
• The Virtual Machine CPU Utilization Forecast Overview to see the list of all virtual machines working on the resource.
• The Virtual CPU Monitoring workspace representing the CPU usage, ESX Server Monitoring & Events showing the overall operating state of the server, and VMware VI Agent Monitoring displaying the high-level views of the ESX servers that are being monitored by the agent.

7 Day, 30 Day, 90 Day Forecast

These tables present forecast calculations for the time periods indicated. Each row in the table contains forecast results for a given resource, and includesVM Agent Node, Server Name, and Data. The information in the Data column is expressed in percentage value of overall CPU utilization, and it shows the predicted value of the forecast after 7, 30, or 90 days respectively.