[Nrg-l] Reminder: NRG Presentation Today

Jorge Londoño jmlon at cs.bu.edu
Mon Feb 2 08:44:35 EST 2009

*Place and time:
*Graduate lounge, 4:00pm*

A Two-Tiered On-Line Server-Side Bandwidth Reservation Framework for the 
Real-Time Delivery of Multiple Video Streams

Jorge M. Londoño and Azer Bestavros

The advent of virtualization and cloud computing technologies 
necessitates the development of effective mechanisms for the estimation 
and reservation of resources needed by content providers to deliver 
large numbers of video-on-demand (VOD) streams through the cloud. 
Unfortunately, capacity planning for the QoS-constrained delivery of a 
large number of VOD streams is inherently difficult as VBR encoding 
schemes exhibit significant bandwidth variability.  In this paper, we 
present a novel resource management scheme to make such allocation 
decisions using a mixture of per-stream reservations and an aggregate 
reservation, shared across all streams to accommodate peak demands.  The 
shared reservation provides capacity slack that enables statistical 
multiplexing of peak rates, while assuring analytically bounded 
frame-drop probabilities, which can be adjusted by trading off buffer 
space (and consequently delay) and
  bandwidth.  Our two-tiered bandwidth allocation scheme enables the 
delivery of any set of streams with less bandwidth (or equivalently with 
higher link utilization) than state-of-the-art deterministic smoothing 
approaches. The algorithm underlying our proposed framework uses three 
per-stream parameters and is linear in the number of servers, making it 
particularly well suited for use in an on-line setting.  We present 
results from extensive trace-driven simulations, which confirm the 
efficiency of our scheme especially for small buffer sizes and delay 
bounds, and which underscore the significant realizable bandwidth 
savings, typically yielding losses that are an order of magnitude or 
more below our analytically  derived bounds.

*Link to the paper: *


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