Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Variability-Aware Latency Amelioration in Distributed Environments Alexey Tumanov Robert Allison Wolfgang Stuerzlinger
 

Summary: Variability-Aware Latency Amelioration in Distributed Environments
Alexey Tumanov Robert Allison Wolfgang Stuerzlinger
Dept. of Computer Science & Engineering and the Centre for Vision Research
York University, Toronto, Ontario, Canada.
ABSTRACT
Application designers of collaborative distributed Virtual Environ-
ments must account for the influence of the network connection and
its detrimental effects on user performance. Based upon analysis
and classification of existing latency compensation techniques, this
paper introduces a novel approach to latency amelioration in the
form of a two-tier predictor-estimator framework. The technique
is variability-aware due to its proactive sender-side prediction of
a pose a variable time into the future. The prediction interval re-
quired is estimated based on current and past network delay char-
acteristics. This latency estimate is subsequently used by a Kalman
Filter-based predictor to replace the measurement event with a pre-
dicted pose that matches the event's arrival time at the receiving
workstation. The compensation technique was evaluated in a sim-
ulation through an offline playback of real head motion data and
network delay traces collected under a variety of real network con-

  

Source: Allison, Robert - Department of Computer Science, York University (Toronto)

 

Collections: Computer Technologies and Information Sciences; Biology and Medicine