Storing the Evolving Web Efficiently
نویسنده
چکیده
Many web applications operate on large amount of web data. How to store and access the data itself is becoming a serious problem, especially with the dynamic of the web. This paper introduces an approach that helps applications to manage evolving web data efficiently, saving a lot of storage space with fast access to the data. One important feature of this framework is that the worst case of random access time is bounded by a simple parameter, and this enable application specific systems based on it. The results on 3 syntactic datasets and 2 real-world datasets show that the approach adaptively performs well.
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