CCN Interest Message Priority Processing via Traffic Type Classification
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Solution Overview
Problem
In Content-Centric Networks (CCNs), existing methods fail to effectively process interest and data messages based on traffic types, leading to inefficiencies in content delivery and quality of service.
Innovation Solution
A method and apparatus that extract traffic types from content names using classifiers to determine priorities, processing interest and data messages in priority queues before caching or forwarding, utilizing a classifier that includes types such as control data, user data, file extenders, and file service keywords to manage content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content requests are processed without priority classification, then the network structure remains simple, but content delivery quality and service reliability deteriorate
Solution Approach 1:
The patent segments message processing into separate priority queues (high priority and low priority queues) based on traffic type classification. Interest messages are classified into different traffic types (control data, user data, file extender, file service keyword) and routed to appropriate queues, allowing differentiated handling without fundamentally changing the CCN architecture.
Solution Approach 2:
The patent changes the processing parameter by introducing priority levels based on traffic type classification. Instead of uniform processing, messages are assigned different priorities (high/low) based on their traffic type, enabling quality-of-service differentiation while maintaining the original network structure.
2Speed
If all interest messages are processed equally, then processing logic remains simple, but time-critical content delivery is delayed
Solution Approach 1:
The patent divides the single message processing queue into multiple priority queues (high priority queue and low priority queue). Time-critical messages are classified into the high priority queue and processed first, ensuring faster delivery for urgent content while maintaining simple processing logic within each queue.
Solution Approach 2:
The patent performs preliminary classification of interest messages into different traffic types and priority levels before processing. By classifying messages upfront based on traffic type (control data, user data, file extender, file service keyword), the system prepares messages for appropriate queue routing, ensuring time-critical messages are handled promptly without complex real-time decision-making during processing.
3Reliability
If traffic type classification is implemented, then content delivery quality improves, but processing overhead increases
Solution Approach 1:
The patent performs traffic type classification as a preliminary action when interest messages are first received and before they enter the processing queue. The classifier extracts traffic types from content names and assigns priorities in advance, so that subsequent processing can proceed efficiently without repeated classification overhead.
Solution Approach 2:
The patent applies different processing qualities to different message types locally. High priority messages (control data, file service keywords) receive expedited processing, while low priority messages (user data, file extenders) are processed normally. This localized quality differentiation improves service quality for critical messages without unnecessarily processing all messages with high overhead.
Data Source
AI summary
A method and apparatus to process interest messages and data messages based on priorities in a Content-Centric Network (CCN) are provided. The method and apparatus to process interest messages and data messages based on priorities in a CCN provides different Quality of Service (QoS) based on type of contents by extracting a traffic type of each of the contents.