Unlike static server capacity measurements (e.g. CPU processing speed, memory size), performance is a dynamic measurement. Latency and throughput are strongly influenced by concurrency and work unit size. Larger work unit size usually negatively influence latency and throughput. Concurrency is the number of aggregate work units (e.g. message, business process, transformation, or rule) processed in parallel (e.g. per second). Higher concurrency values have a tendency to increase latency (wait time) and decrease throughput (units processed). Read Srinath's full blog post.
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Date: Thu, 3rd May, 2012
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Srinath Perera
Senior Software Architect
WSO2 Inc. |
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To visualize server performance across the range of possible workloads, we draw a graph of latency or throughput against concurrency or work unit size as shown by the above graph. Read Srinath's full blog post
Is this the authors first