An Approach For Bursty And Self-Similar Workload Generation

As two of the most important characteristics of Web systems' workloads, burstiness and self-similarity are gaining more and more attentions. And synthetically generating bursty and self-similar workloads is a key technique for Web system performance analysis. In this paper, a configurable synthetic approach for bursty and self-similar workload generation has been proposed based on a superposition of 2-state Markovian arrival processes (MAP2). This method can generate workload with both specified intension of burstiness and self-similarity. The detailed evaluation show the accuracy and robustness of our method.