Multimedia Session Classification for Cellular Traffic Management
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Solution Overview
Problem
Cellular wireless networks face challenges in managing explosive data traffic growth, with existing upgrades being costly and unable to keep pace with demand, leading to network congestion and revenue challenges for operators.
Innovation Solution
An apparatus and method for classifying content in transactions within cellular networks, using a transaction boundary detector, multimedia session generator, and classifier to apply traffic management techniques such as blocking, rate limiting, and data compression, specifically tailored to multimedia content like HLS and DASH protocols, to optimize web and video traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network upgrades are implemented to meet data traffic demand, then network capacity and quality of experience are improved, but network cost increases significantly
Solution Approach 1:
The patent implements dynamic traffic management that adapts network resource allocation based on real-time conditions. The system dynamically identifies multimedia sessions, applies selective optimization techniques, and adjusts traffic handling strategies according to network load and session type, replacing static network capacity with adaptive resource management
Solution Approach 2:
The system changes traffic parameters by applying different optimization techniques to different traffic types. It identifies multimedia protocols (HLS, DASH, RTMP) and applies specific compression and optimization parameters tailored to each protocol type, thereby improving overall network efficiency without uniform capacity expansion
2Loss of energy
If traffic management techniques are applied to control data traffic growth, then network cost is reduced, but network congestion and quality of experience deteriorate
Solution Approach 1:
The patent applies local quality by implementing differentiated traffic management for different session types. Instead of uniform traffic control, it identifies specific multimedia sessions using protocol signatures and applies targeted optimization techniques only to those sessions, preserving quality for optimized traffic while controlling overall cost
Solution Approach 2:
The system introduces an intermediary classification mechanism that sits between traffic intake and network routing. This intermediary identifies multimedia protocols and applies appropriate optimization techniques, acting as a mediator that enables cost-effective traffic management without degrading user experience
3Productivity
If selective optimization techniques are applied to multimedia content, then data traffic efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments traffic management into distinct protocol-specific handlers. It divides multimedia traffic into categories (HLS, DASH, RTMP) and applies dedicated optimization techniques to each segment, making the complex system manageable through modular organization of optimization strategies
Solution Approach 2:
The system uses signature-based identification that creates simplified representations of complex multimedia protocols. By copying and matching known protocol signatures rather than deep inspection of entire traffic streams, it reduces processing complexity while maintaining accurate identification
Data Source
AI summary
An apparatus is provided for classifying content in one or more transactions. The apparatus includes a transaction boundary detector to detect boundaries of the one or more transactions associated with a first server or a first destination, wherein the one or more transactions include one or more requests from a client or a source and one or more corresponding responses from the first server or the first destination. A multimedia session generator generates a multimedia session object based on the detected boundaries of the one or more transactions. A multimedia classifier classifies the content associated with a first multimedia session. A traffic processing and policy enforcement unit applies traffic management to the first multimedia session based upon the classification.