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A Characterization of Broadband User Behavior and Their E-Business Activities

机译:宽带用户行为及其电子商务活动的表征

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This paper presents a characterization of broadband user behavior from an Internet Service Provider standpoint. Users are broken into two major categories: residential and Small-Office/Home-Office (SOHO). For each user category, the characterization is performed along four criteria: (ⅰ) session arrival process, (ⅱ) session duration, (ⅲ) number of bytes transferred within a session and (ⅳ) user request patterns. Our results show that both residential and SOHO session inter-arrival times are exponentially distributed. Whereas residential session arrival rates remain relatively high during the day, SOHO session arrival rates vary much more significantly during the day. On the other hand, a typical SOHO user session is longer and transfers a larger volume of data. Furthermore, our analysis uncovers two main groups of session request patterns within each user category. The first group consists of user sessions that use traditional Internet services, such as e-mail, instant messenger and, mostly, www services. On the other hand, sessions from the second group, a smaller group, use typically peer-to-peer file sharing applications, remain active for longer periods and transfer a large amount of data. Looking further into the e-business services most commonly accessed, we found that subscription-based and advertising services account for the vast majority of user HTTP requests in both residential and SOHO workloads. Understanding these user behavior patterns is important to the development of more efficient applications for broadband users.
机译:本文从Internet服务提供商的角度介绍了宽带用户行为的特征。用户分为两大类:住宅和小型办公室/家庭办公室(SOHO)。对于每个用户类别,按照以下四个标准执行表征:(ⅰ)会话到达过程,(ⅱ)会话持续时间,(ⅲ)会话内传输的字节数和(ⅳ)用户请求模式。我们的结果表明,居住时间和SOHO会话到达时间均呈指数分布。白天,住宅会话到达率保持相对较高,而SOHO会话到达率在白天的变化要大得多。另一方面,典型的SOHO用户会话较长,并且传输大量数据。此外,我们的分析揭示了每个用户类别内的两个主要会话请求模式组。第一组包括使用传统Internet服务的用户会话,例如电子邮件,即时通讯程序以及主要是www服务的用户会话。另一方面,来自第二个小组(较小的小组)的会话通常使用对等文件共享应用程序,在较长时间内保持活动状态并传输大量数据。进一步研究最常访问的电子商务服务,我们发现在住宅和SOHO工作负载中,基于订阅的广告服务占绝大多数用户HTTP请求。了解这些用户行为模式对于为宽带用户开发更高效的应用程序很重要。

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