Service Provisioning and Profit Maximization in Network-assisted Adaptive HTTP Streaming
This work addresses the problem of optimizing adaptive streaming for mobile networks where fair or differentiated service is required, representing an incremental improvement.
The paper tackled the challenge of balancing content provider and network operator interests in adaptive HTTP streaming by proposing a Markov Decision Process (MDP) based framework that jointly considers buffering, playback variation, bandwidth, and income, demonstrating promising service provisioning and maximal profit for mobile networks.
Adaptive HTTP streaming with centralized consideration of multiple streams has gained increasing interest. It poses a special challenge that the interests of both content provider and network operator need to be deliberately balanced. More importantly, the adaptation strategy is required to be flexible enough to be ported to various systems that work under different network environments, QoE levels, and economic objectives. To address these challenges, we propose a Markov Decision Process (MDP) based network-assisted adaptation framework, wherein cost of buffering, significant playback variation, bandwidth management and income of playback are jointly investigated. We then demonstrate its promising service provisioning and maximal profit for a mobile network in which fair or differentiated service is required.