Content-aware global static compression for Web content delivery

Junli Yuan, Chi-Hung Chi, Qibin Sun
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Abstract

The effectiveness of real-time lossless compression on Web data is found to be limited by the relatively small size of its basic operation unit, Web object. However, we observe that while the repeated occurrence frequencies of strings within a single object might be low, the frequencies can be very high if they are considered over multiple objects. Furthermore, these strings with high occurrence frequencies are quite static, and the size of such string set is also quite small. In this paper, we propose a complementary compression mechanism on top of the existing HTTP supported algorithms, called the content-aware global static compression (CAGSC), to further improve Web data compression. Its basic idea is to include a static CAGSC table to perform compression on frequently, globally occurred strings. Our experimental result shows that CAGSC can obtain an average of 15% improvement over standard HTTP supported algorithms.
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用于Web内容交付的内容感知全局静态压缩
Web数据实时无损压缩的有效性受到其基本操作单元Web对象相对较小的限制。然而,我们观察到,虽然字符串在单个对象中重复出现的频率可能很低,但如果考虑多个对象,频率可能非常高。此外,这些高出现频率的字符串是非常静态的,并且这种字符串集的大小也非常小。在本文中,我们在现有HTTP支持算法的基础上提出了一种补充压缩机制,称为内容感知全局静态压缩(CAGSC),以进一步改进Web数据压缩。它的基本思想是包含一个静态CAGSC表,用于对全局频繁出现的字符串执行压缩。实验结果表明,CAGSC比支持HTTP的标准算法平均提高15%。
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