User manual FUJITSU SIEMENS OPENSM2 V8.0 - BS2000OS DATASHEET 05-09

[. . . ] CPU, memory and disk utilization), while other statistics are gathered by special monitoring programs which can be activated as needed. The scope of the monitoring data logged is controlled by a privileged user, the SM2 administrator. Additional to the SM2 monitor openSM2 (BS2000/OSD) consists of components for analysis and administration of the monitoring data. openSM2 (BS2000/OSD) can be used for the following purposes: Real-time (online) monitoring Performance data reflecting the current system status is collected over selectable periods of time ­ the monitoring intervals ­ and output on the screen in the form of reports. [. . . ] The following programs are available for administration and analysis of SM2 performance data: SM2U1 The SM2U1 program enables individual SM2 monitoring files to be consolidated in a collective file, with the option of selecting only specific data records for long-term statistical analysis. Depending on which parameters are specified, diagrams plotting the course of the performance metrics over time and statistical values such as mean, maximum and minimum, as well as standard deviation, are output. The scope of the performance data to be output can be controlled (suppression of non-critical values) using predefined or freely programmable thresholds. In addition, summation values for the most vital metrics can be output on a few pages. Computerized support for detection of potential bottlenecks in the system is provided by the builtin "automatic bottleneck analysis" function. SM2R1 also provides a compatible data interface to allow customerspecific analyses of SM2 performance data. INSPECTOR INSPECTOR enables simultaneous online monitoring of multiple BS2000/OSD systems using a Windows PC. Agents on the server systems record the performance data via the SM2 program interface and send it via TCP/IP connections to the central manager on the PC, where it is monitored and presented in graphical form. The monitored servers are displayed in the server list of the manager. The server list has a tree structure showing the association of the servers to system platforms and server groups. There are the possibilities "no data", "values in normal range" and "alarm". The status display is constantly updated and enables exceptional situations to be detected instantly and an appropriate response to be made. Several different types of reports are available for presenting the performance data in graphical or tabular form. Snapshot reports indicate the current system status graphically or in a form corresponding to the SM2 screenshots in BS2000. Time series reports reveal how the performance values have changed over the last hours. There are global reports providing an overview of multiple servers in one chart or table and reports showing selected performance data for a single server. The user can specify the measurement variables and the monitored objects whose performance data is to be included in a report, as well as defining new measurement variables by linking measurement variables by means of formulae. The charts in the reports can be customized by selecting various diagram types (bar, line, logarithmic line, etc. ) and colors. The charts can be printed with a single mouse click, saved to a graphics file or copied to the Clipboard for pasting into standard programs (Word, PowerPoint, etc. ). A header and footer line can be inserted for printout and the labels can be modified. The monitored data provided by the servers can be supervised by means of user-defined rules. [. . . ] weekends) Selection of measurement variables via report group, report and measurement variable Linking of several measurement variables by means of formulas Selection of monitored objects (e. g. devices, channels, categories, etc. ) Selection of different analytical functions (mean values, frequencies, minimum, maximum, quantiles) Creation of time series or correlation charts Identification of overloaded resources by automatic production of hit lists of the monitored objects with the highest utilization values Identification of the processes involved in load peaks by automatic production of a list of the processes with highest CPU consumption for each monitoring cycle Monitoring of agreed service levels through analysis of frequencies (e. g. "For what percentage of the monitoring interval was the response time between 0. 5 and 1. 0 seconds?") Identification of functional relationships between measurement variables through presentation as a correlation diagram Customization of graphics through selection of different diagram types (bar, line, logarithmic line, etc. ) and colors Automatic analysis The automatic analysis function identifies performance bottlenecks on the basis of predefined rules. The result is presented as a structured list of messages which can be printed and saved. [. . . ]