Multi-user video conferencing is a ubiquitous technology. Increasingly end-hosts in a conference are assisted by cloud-based servers that improve the quality of experience for end users. This paper evaluates the impact of strategies for placement of such servers on user experience and deployment cost. We consider scenarios based upon the Amazon EC2 infrastructure as well as future scenarios in which cloud instances can be located at a larger number of possible sites across the planet. We compare a number of possible strategies for choosing which cloud locations should host services and how traffic should route through them. Our study is driven by real data to create demand scenarios with realistic geographical user distributions and diurnal behaviour. We conclude that on the EC2 infrastructure a well chosen static selection of servers performs well but as more cloud locations are available a dynamic choice of servers becomes important.
Year
2017
Abstract
Summary
Evaluates strategies for placing cloud-based servers that assist multi-user video conferencing, comparing options on Amazon EC2 infrastructure and in hypothetical scenarios with many more possible sites, driven by real demand data with realistic geography and diurnal patterns; finds a well-chosen static server selection works well on EC2 today, but dynamic server choice becomes important as more cloud locations become available.
bibtex
@article{clegg2017facesclouds,
author = {Richard G. Clegg and Raul Landa and David Griffin and Miguel Rio and Peter Hughes and Ian Kegel and Tim Stevens and Peter Pietzuch and Doug Williams},
title = {Faces in the Clouds: Long-Duration, Multi-User, Cloud-Assisted Video Conferencing},
journal = {IEEE Transactions on Cloud Computing},
year = {2017},
volume = {7},
number = {3},
pages = {756--769},
doi = {10.1109/TCC.2017.2680440}
}
author = {Richard G. Clegg and Raul Landa and David Griffin and Miguel Rio and Peter Hughes and Ian Kegel and Tim Stevens and Peter Pietzuch and Doug Williams},
title = {Faces in the Clouds: Long-Duration, Multi-User, Cloud-Assisted Video Conferencing},
journal = {IEEE Transactions on Cloud Computing},
year = {2017},
volume = {7},
number = {3},
pages = {756--769},
doi = {10.1109/TCC.2017.2680440}
}
Venue
IEEE Transactions on Cloud Computing, 7(3), pp. 756-769