Statistical Analysis of Link Scheduling on Long Paths

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 closedform 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.

• Type: Journal
• Year: 2011
• Where: CORR
• Authors: Yashar Ghiassi-Farrokhfal, Jörg Liebeherr, Almut Burchard
• Keywords: CORR 2011, Education, End-to-end Delay, Key Enabling Contribution, Output Burstiness