Multipart Web Encoding for Lower-Latency Page Delivery
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Solution Overview
Problem
Web browsing is hindered by bandwidth and latency constraints in networks, leading to inefficient data transfer and user dissatisfaction, particularly in wireless WANs, where interference and noise further complicate data transmission and variability in delay times.
Innovation Solution
The implementation of an optimization system that includes a client device, an optimization server, and content servers, which utilize data caching, freshness monitoring, and multipart encoding to optimize data transfer by identifying stale data, verifying freshness, and reducing the number of packets transmitted, thereby minimizing latency and bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional HTTP protocol is used for data transfer, then data can be transmitted between client and server, but the number of packets increases and bandwidth is wasted due to repeated transmission of unchanged data
Solution Approach 1:
The response data is segmented into multiple parts using multipart encoding format, where each part represents a separate object or data unit. This segmentation allows the client to efficiently process and cache individual parts, reducing redundant bandwidth consumption when data remains unchanged.
Solution Approach 2:
The server performs preliminary actions by encoding the response data in multipart format before transmission, including metadata about each data part. This preliminary encoding enables the client to efficiently identify unchanged data and skip retransmission, reducing bandwidth usage.
2Reliability
If multiple packets are transmitted for each object download, then complete data can be delivered, but latency increases due to the overhead of multiple transmission cycles
Solution Approach 1:
Multiple data parts are merged into a single multipart-encoded response that can be transmitted in one go. The response includes a multipart header followed by multiple data parts, reducing the number of separate transmission cycles needed while ensuring complete data delivery.
Solution Approach 2:
The multipart encoding includes metadata and boundaries that provide feedback information to the client about the structure and completeness of the transmitted data. This allows the client to verify data completeness efficiently without requiring multiple verification cycles.
3Stability of the object's composition
If all objects on a web page are downloaded before display, then complete web page content is available, but user waiting time increases significantly
Solution Approach 1:
The server performs preliminary action by pre-encoding the web page content into multipart format with clear boundaries and metadata for each object. This allows the client to receive and begin processing data parts as they arrive, rather than waiting for complete page download, reducing user waiting time while maintaining page completeness.
Solution Approach 2:
The client dynamically processes multipart-encoded data as it arrives, rather than statically waiting for complete download. The client can extract and display individual objects from the multipart stream in real-time, allowing progressive web page rendering that reduces user waiting time while ensuring complete content availability.
Data Source
AI summary
A system including a user agent configured to transmit request data to a content server, wherein the request data corresponds to a request for a web page; and an optimization server configured to receive a first response data corresponding to the request data from a content server, identify response object data within the first response data, query the content server for second response data that is associated with the identified response object data, and transmit optimized data to the user agent, wherein the contents of the optimized data can include the first response data and the second response data.