Future Directions and Open Problems in Performance Evaluation and Control of Self‐Similar Network Traffic
Ki‐Hong Park · 2000
Since the seminal study of Leland et al. on the self-similar nature of network traffic, significant advances have been made in understanding the statistical properties of measured network traffic—in particular, Internet workloads—why self-similar burstiness is an ubiquitous phenomenon present in diverse networking contexts, mathematical models for their description and performance analysis based on queueing, and traffic control and resource management under self-similar traffic conditions. This chapter presents a broad outlook into the future in terms of possible research avenues and open problems in self-similar network traffic research. The specific items described in the chapter are but a subset of interesting research issues and are meant to highlight topics that can benefit from concerted efforts by researchers in the community due to their scope and depth. The research problems are organized around recent developments and the landscape of previous accomplishments, grouped into three areas—workload characterization, performance analysis, and traffic control. Physical modeling, which can be viewed as a fourth category, is grouped with workload characterization.