Resource overbooking and application profiling in shared hosting platforms
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Inside the bird's nest: measurements of large-scale live VoD from the 2008 olympics
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Optimal content placement for a large-scale VoD system
Proceedings of the 6th International COnference
Risk management for video-on-demand servers leveraging demand forecast
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Pricing cloud bandwidth reservations under demand uncertainty
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
Efficient Risk Hedging by Dynamic Forward Pricing: A Study in Cloud Computing
INFORMS Journal on Computing
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Bandwidth usage in large-scale Video on Demand (VoD) systems varies rapidly over time, due to unpredictable dynamics in user demand and network conditions. Such bandwidth volatility makes it hard to provision the exact amount of server resources that matches the demand in each video channel, posing significant challenges to achieving quality assurance and efficient resource allocation at the same time. In this paper, we seek to statistically model time-varying traffic volatility in VoD servers, leveraging heteroscedastic models first used to interpret economic time series, with the goal of forecasting not only traffic patterns but also traffic volatility. We present the application of volatility forecast to efficient resource allocation that provides probabilistic service level guarantees to user groups. We also discuss volatility reduction from diversification, and its implications to new strategies for cost-effective server management. Our study is based on monitoring the workload of a large-scale commercial VoD system widely deployed on the Internet.