We study how the choice of packet scheduling algorithms influences end-to-end performance on long network paths. Taking a network calculus approach, we consider both deterministic and statistical performance metrics. A key enabling contribution for our analysis is a significantly sharpened method for computing a statistical bound for the service given to a flow by the network as a whole. For a suitably parsimonious traffic model we develop closed-form expressions for end-to-end delays, backlog, and output burstiness. The deterministic versions of our bounds yield optimal bounds on end-to-end backlog and output burstiness for some schedulers, and are highly accurate for end-to-end delay bounds.

Rotterdam School of Management (RSM), Erasmus University

Ghiassi-Farrokhfal, Y., Liebeherr, J., & Burchard, A. (2011). The impact of link scheduling on long paths. Presented at the IEEE INFOCOM 2011. Retrieved from http://hdl.handle.net/1765/79429