Dynamic Scaling of VoD Services into Hybrid Clouds with Cost Minimization and QoS Guarantee

A large-scale Video-on-Demand (VoD) service demands huge server costs, to provision thousands of videos to millions of users with high streaming quality. As compared to the traditional practice of relying on large on-premise server clusters, the emerging platforms of geo-distributed public clouds promise a more economic solution: their on-demand resource provisioning can constitute ideal supplements of resources from on-premise servers, and effectively support dynamic scaling of the VoD service at different times. Promising, though it is significant technical challenges persist before it turns into reality: how shall the service provider dynamically replicate videos and dispatch user requests over the hybrid platform, such that the service quality and the minimization of overall cost can be guaranteed over the long run of the system?

Provided by: University of Hohenheim Topic: Cloud Date Added: Mar 2012 Format: PDF

Find By Topic