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A Learning-Based Approach for Web Cache Management

机译：基于学习的Web缓存管理方法

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摘要

Web caching has been widely used to alleviate Internet traffic congestion in World Wide Web (WWW) services. To reduce download throughput, an effective strategy on web cache management is needed to exploit web usage information in order to make a decision on evicting the document stored in case of cache saturation. This paper presents a so-called Learning Based Replacement algorithm (LBR), a hybrid approach towards an efficient replacement model for web caching by incorporating a machine learning technique (naive Bayes) into the LRU replacement method to improve prediction of possibility that an existing page will be revised by a succeeding request, from access history in a web log. The learned knowledge includes information on which URL objects in cache should be kept or evicted. The learning-based model is acquired to represent the hidden aspect of user request pattern for predicting the re-reference possibility. By a number of experiments, the LBR gains potential improvement of prediction on revisit probability, hit rate and byte hit rate overtraditional methods; LRU, LFU, and GDSF, respectively.
机译：Web缓存已被广泛用于缓解World Wide Web（WWW）服务中的Internet流量拥塞。为了减少下载吞吐量，需要一种有效的Web缓存管理策略来利用Web使用信息，以便在缓存饱和的情况下决定将存储的文档逐出。本文提出了一种所谓的“基于学习的替换算法”（LBR），这是一种通过将机器学习技术（朴素贝叶斯）合并到LRU替换方法中来实现高效的Web缓存替换模型的混合方法，以提高对现有页面的可能性的预测将根据网络日志中的访问历史记录，通过后续请求进行修改。所学知识包括有关应保留或驱逐缓存中哪些URL对象的信息。获取基于学习的模型以表示用户请求模式的隐藏方面，以预测重新引用的可能性。通过大量实验，LBR获得了对重访概率，命中率和字节命中率传统方法的潜在改进。 LRU，LFU和GDSF。

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  • 来源
    《Mobile networks & applications》 |2014年第2期|258-271|共14页
  • 作者

    Areerat Songwattana; Thanaruk Theeramunkong; Phan Cong Vinh;

  • 作者单位

    School of Engineering and Technology, Asian Institute of Technology, Klongluang, Pathumthani, 10200, Thailand;

    School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, 131 Moo 5, Tiwanont Road, Bangkadi, Muang, Pathumthani 12000, Thailand;

    Faculty of Information Technology, Nguyen Tat Thanh University, 300A Nguyen Tat Thanh street, Ward 13, District 4,Ho Chi Minh, Vietnam;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Web caching; LRU; LFU; GDSF; Replacement strategy; Machine learning;

    机译：Web缓存;LRU;LFU;GDSF;更换策略;机器学习;

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