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Published on March 8, 2014

Author: naveent20

Source: slideshare.net

Round Robin Database Tools Presented by Lavanya G

RRD - Introduction  RRD aims to handle time-series data like network bandwidth, temperatures, CPU load, etc.  The data which are stored in a RRD (circular buffer), thus the system storage footprint remains constant over time.  Provides graphing capabilities  Framework for storing measurement averages, min, max, derivatives.  Data does not expand in size with time

RRD Working  In case of linear databases, new data gets appended at the bottom of the database table.  Thus its size keeps on increasing, whereas size of an RRDTool database is determined at creation time. Imagine an RRDTool database as the perimeter of a circle.  Data is added along the perimeter. When new data reaches the starting point, it overwrites existing data. This way, the size of an RRDTool database always remains constant. The name ``Round Robin'' stems from this attribute.

RRD Archive

Why RRD?  RRD take care of Time and Space complexity than other linear databases.  Other databases define tables with columns, and many other parameters. These definitions sometime are very complex, especially in large databases.  RRD Tool databases are primarily used for monitoring purposes and hence are very simple in structure.  The parameters that need to be defined are variables that hold values and archives of those values.

Comparision (RRD with other DB)  Structure  Performance  Configuration String rrdPath = ... ; long timestamp = ... ; //Example Date RrdDb rrd = new RrdDb(rrdPath); for(int i = 0; i < 10000; i++) { Sample sample = rrd.createSample(timestamp); sample.setValue("input", ...); // 5 Secs sample.update(); timestamp += ... ; } rrd.close();

RRD Applications  Real Time Application Temperature Monitoring & Rain Fall CPU Perfomence Trafic on LAN per minute Total minutes of Down Time.  Who Using RRD Munin Monitorix Observium BackupPC

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