BURSE: A Bursty andSelf-Similar Workload Generator for Cloud Computing

BURSE: A Bursty andSelf-Similar Workload Generator for Cloud Computing

Abstract— BURSE: A Bursty andSelf-Similar Workload Generator for Cloud Computing. As two of the most important characteristics of workloads, burstiness and self-similarity are gaining more and more attention. Workload generation, which is a key technique for performance analysis and simulations, has also attracted an increasing interest in cloud community in recent years. Though a large number of methods for synthetically generating bursty or self-similar workloads have been proposed in the literature, none of them can deal with workload generation with both of the two characteristics. A configurable and intelligible synthetic generator < Final Year Projects 2016 > is proposed for bursty and self-similar workloads in cloud computing based on a superposition of two-state Markov Modulated Poisson Processes (MMPP2s). /p>