Server-based traffic shaping for stabilizing oscillating adaptive streaming players

Authors:
Saamer Akhshabi;Lakshmi Anantakrishnan;Constantine Dovrolis;Ali C. Begen
Affiliations:
Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;Video and Content Platforms Research and Advanced Development, Cisco Systems
Venue:
Proceeding of the 23rd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video
Year:
2013

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Abstract

Prior work has shown that two or more adaptive streaming players can be unstable when they compete for bandwidth. The root cause of the instability problem is that, in Steady-State, a player goes through an ON-OFF activity pattern in which it overestimates the available bandwidth. We propose a server-based traffic shaping method that can significantly reduce such oscillations without significant (or any) loss in bandwidth utilization. The shaper is only activated when oscillations are detected, and it dynamically adjusts the shaping rate so that the player should ideally receive the highest available video profile while being stable. We evaluate the proposed method experimentally in terms of instability and utilization comparing with the unshaped case, under several scenarios.