Streaming Gateway Protocol Translation for Bandwidth Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network operators face challenges in managing boutique content congestion, where less popular multimedia streams consume valuable bandwidth and cause latency issues, leading to increased costs and poor Quality of Experience (QoE), as traditional solutions like over-provisioning are inefficient and expensive.
Innovation Solution
A system that intelligently translates between streaming protocols, dynamically determining the most economical delivery method for multimedia streams based on demand, switching between unicast, multicast, and broadcast to minimize bandwidth consumption and latency, using a streaming gateway that analyzes network information to optimize stream distribution and manage traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If multicast is used to deliver boutique content, then bandwidth consumption is reduced, but join and leave latency exceeds QoE parameters
Solution Approach 1:
The patent applies dynamics by making the streaming delivery method adaptive rather than static. The system dynamically switches between multicast and unicast based on real-time demand conditions. When demand is high, multicast is used to save bandwidth; when demand is low or latency is critical, unicast is used. This dynamic adaptation resolves the contradiction between bandwidth efficiency and latency performance.
Solution Approach 2:
The patent changes the delivery parameter (streaming protocol type) based on demand conditions. By monitoring demand metrics and adjusting the delivery method accordingly, the system optimizes both bandwidth consumption and latency. This parameter change allows the system to achieve acceptable QoE while efficiently managing network resources.
2Reliability
If over-provisioning bandwidth is used to accommodate boutique content, then QoE is improved, but network cost increases significantly
Solution Approach 1:
The system uses dynamic demand-based delivery selection to avoid static over-provisioning. Instead of allocating excessive bandwidth capacity for all possible boutique content scenarios, the system adapts its delivery method to actual demand conditions, achieving acceptable QoE only when necessary and using more efficient unicast delivery for time-dependent content.
Solution Approach 2:
The patent changes the delivery approach based on content characteristics and demand patterns. By analyzing demand metrics and adjusting delivery parameters (unicast vs. multicast selection), the system achieves cost-effective QoE without requiring excessive network bandwidth capacity allocation.
3Loss of time
If unicast is used for boutique content, then join and leave latency is reduced, but bandwidth consumption increases
Solution Approach 1:
The patent optimizes the delivery parameter selection by changing between unicast and multicast based on specific conditions. For time-dependent boutique content, unicast is selected to minimize latency; for less time-sensitive content with higher demand, multicast is used to reduce bandwidth consumption. This conditional parameter change resolves the contradiction between latency and bandwidth efficiency.
4Loss of energy
If multicast is used for high demand content, then bandwidth efficiency is improved, but stream change functionality becomes complex
Solution Approach 1:
The system dynamically determines the most efficacious delivery method for each stream based on demand conditions. By making intelligent translation decisions between streaming formats and protocols, the system optimizes bandwidth efficiency while managing stream change complexity through automated gateway intelligence rather than complex network-wide multicast reconfiguration.
Data Source
AI summary
The exemplary embodiments describe methods, systems, and products that intelligently translate between streaming formats. One such method receives a multimedia stream of data, with the multimedia stream of data having a streaming protocol. Network control data is received and indicates a level of demand for the multimedia stream of data. The multimedia stream of data is translated to a different streaming protocol to reduce bandwidth. The translated multimedia stream of data is then forwarded to a transport network.