Clustered Image Data Structure for Network Traffic Reduction
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Solution Overview
Problem
Current Web caching architectures face challenges in reducing network traffic and replication costs, particularly due to inefficient image distribution and management, which burdens both users and Web servers with high latency and bandwidth consumption.
Innovation Solution
The solution involves employing compact image data structures and packet delivery techniques that merge similar images into a single file, eliminating redundancy in color indexes and using metadata for efficient caching, thereby reducing image data size by 30-50% and minimizing bandwidth requirements and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If Web caching architectures replicate images across multiple servers, then network traffic is reduced, but replication cost and storage requirements increase
Solution Approach 1:
The patent merges multiple similar images into a single clustered image file, combining redundant visual information into one storage unit that can be replicated once and distributed to multiple caches, thereby reducing replication costs while maintaining network traffic reduction benefits
Solution Approach 2:
The clustered image file serves multiple functions simultaneously: it acts as a single replicable storage unit, contains multiple distinct images through color index clustering, and enables efficient distribution across caching hierarchies, thereby achieving universal applicability that reduces both replication overhead and network traffic
2Reliability
If images are stored as separate files, then image quality and individual management is maintained, but network bandwidth consumption and latency increase
Solution Approach 1:
Multiple individual image files are merged into a single clustered image file where redundant color indexes are consolidated, reducing the number of separate file transmissions required while preserving the visual quality of each original image through maintained color index relationships
3Reliability
If caching architectures use traditional replication methods, then cache coverage is improved, but the cost of replication and storage increases
Solution Approach 1:
The patent combines multiple images into single clustered files that occupy less storage space per image, enabling broader cache coverage across distributed servers without proportionally increasing total storage requirements, thereby improving reliability at reduced storage cost
Data Source
AI summary
Method for efficient image distribution and management Invention employs compact image data structures and packet delivery techniques for Internet applications. Images on a Web page are inefficiently stored, using a single image per file. Invention uses clustering to merge similar images into a single file in order to exploit the redundancy between images. A 30-50% image data size reduction is achieved by eliminating the redundancies of color indexes. A metadata file permits an easy extraction of images. Present invention permits a more efficient use of the cache, since a shorter list of cache references is required. Packet and transmission delays are reduced by 50% eliminating redundant TCP/IP headers and connection time. Present invention eliminates redundancy and provides valuable benefits for optimizing packet delivery in IP networks by reducing latency and minimizing the bandwidth requirements.