A GSPN model for the analysis of DNS-based redirection in distributed Web systems

R. Gaeta, M. Gribaudo, D. Manini, M. Sereno
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引用次数: 2

Abstract

The rapid growth of the Internet, in both user numbers and Web content, has fueled extensive efforts to improve the user's overall Internet experience. A growing number of providers deliver content from multiple servers or proxies to reduce response time by moving content closer to end users. An increasingly popular mechanism to direct client requests towards one of the replica servers is DNS-based redirection. In this mechanism, the authoritative domain name server (ADNS) of the Web site takes the request dispatcher role by mapping the URL host name into the IP address of one of the replica servers (both locally and geographically distributed). However, the ADNS controls only a very small fraction of the requests reaching the Web site because the address mapping is not requested for each client access. Indeed, to reduce Internet traffic due to DNS requests, address resolution is cached at various name servers for a time-to-live (TTL) period, opening a new set of problems not addressed in classical centralized schedulers of parallel and/or distributed systems. We present an approximate generalized stochastic Petri nets (GSPN) model for the analysis of the workload offered to replica servers in a DNS based redirection architecture. Different dispatching algorithms, as well as different strategies to manage TTL assignment at the ADNS, are considered to show the potential of the GSPN based analysis.
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分布式Web系统中基于dns的重定向分析的GSPN模型
互联网在用户数量和网络内容方面的快速增长,推动了改善用户整体互联网体验的广泛努力。越来越多的提供商从多个服务器或代理交付内容,通过将内容移动到离最终用户更近的地方来减少响应时间。将客户机请求定向到副本服务器之一的一种日益流行的机制是基于dns的重定向。在这种机制中,Web站点的权威域名服务器(ADNS)通过将URL主机名映射到其中一个副本服务器(本地和地理分布)的IP地址来扮演请求调度程序的角色。但是,ADNS只控制到达Web站点的很小一部分请求,因为并不是每个客户端访问都请求地址映射。实际上,为了减少由于DNS请求引起的互联网流量,地址解析会在一段生存时间(TTL)内缓存在各种名称服务器上,这带来了一系列在并行和/或分布式系统的传统集中式调度器中未解决的新问题。我们提出了一个近似的广义随机Petri网(GSPN)模型,用于分析在基于DNS的重定向架构中提供给副本服务器的工作负载。考虑了不同的调度算法,以及在ADNS中管理TTL分配的不同策略,以显示基于GSPN的分析的潜力。
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