DASH Framework Using Machine Learning Techniques and Security Controls
Table 5
Limitations of related work approaches and how the proposed framework addressed it.
Related works approach
Contribution and limitation
Proposed framework approach
Modifying HTTP version
+ Reduce requests and response size - Modifying HTTP requires modifying all applications and devices, and it is not a practical solution as HTTP is widely spread
+ Removing redundant headers
Extending or modifying the architecture
+ Enhance QoE - Consuming power and costly
+ Precache model
Enhance algorithms and use machine learning
+ Enhance QoE + Preserve resources - Used to predict segments from the client side - Not deployed in an integrated framework
