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A Study of OpenMail Workload: Analysis and Modeling ⋆

With the prevalence and increasing importance of electronic mail in people’s daily life, how to ensure the performance of email system has become a challenging issue to the email service providers. A good understanding of email file system workloads is very important to provide useful insight into the design of email system for performance gains. In this paper, the empirical contributions of various traffic characteristics of email file system are studied, through analyzing the traces collected from an OpenMail file system. The correlation study of I/O inter-arrival times shows that the self-similarity study is quite necessary, and some statistical evidences are provided to demonstrate the existence of self-similarity in the email traffics. In addition, we implement an I/O series generator in which the inputs are the measured properties of the available trace data. Experimental results show that this model can accurately emulate the complex arrival behaviors of real email systems, particularly the heavy-tail characteristics under both Gaussian and non-Gaussian workloads.