Web Crawler Scheduling via Channel Definition Format
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Solution Overview
Problem
Conventional web crawlers lack the ability to determine when a website is scheduled to be updated, leading to outdated data and inefficient resource usage, as they do not utilize the 'push' channel definition data available on websites to optimize crawling frequency and focus on updated content.
Innovation Solution
A method and system that utilize data from Channel Definition Format (CDF) files, specifically the SCHEDULE and ITEM elements, to determine when and what parts of a website to crawl, ensuring that web crawlers access updated information by aligning their visits with the website's update schedule and selectively downloading relevant files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If web crawlers visit websites at regular intervals, then the crawling schedule is simple to implement, but the data may become outdated or resources may be wasted on frequently visited sites that haven't been updated
Solution Approach 1:
The web crawler retrieves CDF files from websites and extracts SCHEDULE information to determine when the website is scheduled to be updated. This feedback mechanism allows the crawler to adapt its visiting schedule based on actual website update plans rather than using fixed intervals, resolving the contradiction between data freshness and scheduling simplicity
Solution Approach 2:
The crawling schedule transitions from a static regular interval approach to a dynamic schedule based on website-specific update information. The crawler adjusts its visiting frequency for each website individually according to the SCHEDULE data retrieved from CDF files, making the system adaptive rather than rigid
2Reliability
If web crawlers frequently visit websites to ensure data freshness, then data accuracy is improved, but computer resources are consumed inefficiently
Solution Approach 1:
The system performs preliminary action by retrieving and analyzing CDF files and SCHEDULE information before the actual crawling decision is made. This advance preparation allows the crawler to plan its visits efficiently, avoiding unnecessary trips to websites that haven't scheduled updates, thus conserving resources while maintaining data accuracy
Solution Approach 2:
The crawling frequency parameter is changed from a fixed value to a variable determined by website-specific SCHEDULE information. Each website receives a customized crawling frequency based on its update schedule, optimizing the balance between data accuracy and resource consumption
3Productivity
If web crawlers use CDF SCHEDULE information to optimize crawling frequency, then resource efficiency is improved, but the system complexity increases due to additional data processing
Solution Approach 1:
The system extracts only the necessary SCHEDULE information from CDF files, isolating the critical data needed for scheduling decisions. By taking out only the relevant schedule parameters rather than processing entire CDF files or all website data, the system achieves improved efficiency without proportionally increasing complexity
Data Source
AI summary
A method (and system) for periodically searching through files accessible through a network, at an interval based on previously accessed data. The method includes accessing and download data from a first file on the network. An accessing time is set to access a second file on the network based on the data downloaded from the first file. In one further embodiment, the first file is a Channel Definition Format (CDF) file.