Connection and performance model driven optimization of pageview response time

Dinesh Kumar, D. Olshefski, Li Zhang
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引用次数: 3

Abstract

Managing client perceived pageview response time for multiple classes of service is essential in today's highly competitive, e-commerce environment. We present Connection and Performance Model Driven Optimization (CP-MDO), a novel approach for providing optimal QoS as defined by a cost objective based on client perceived pageview response time and pageview drop rate. Our approach combines two vital models: 1) a latency model for connection establishment that captures the interactions between web browsers and web servers across network protocol layers and 2) a server performance model based on queueing theory that models performance across all tiers of a server complex. An algorithm capable of enforcing the optimal admission control based on the inter-arrival time between pageview admissions is given. Our approach has been implemented and evaluated in an experimental setting, demonstrating how CP-MDO achieves the minimal cost while providing minimal pageview response times under minimal drop rates across multiple classes of service.
连接和性能模型驱动的页面浏览响应时间优化
在当今竞争激烈的电子商务环境中,管理多个服务类别的客户感知页面浏览响应时间是必不可少的。我们提出了连接和性能模型驱动优化(CP-MDO),这是一种提供最佳QoS的新方法,该方法由基于客户端感知的页面浏览量响应时间和页面浏览量下降率的成本目标定义。我们的方法结合了两个重要的模型:1)连接建立的延迟模型,该模型捕获了跨网络协议层的web浏览器和web服务器之间的交互;2)基于排队理论的服务器性能模型,该模型模拟了服务器复合结构的所有层的性能。给出了一种基于页面浏览量入场间隔时间的最优入场控制算法。我们的方法已经在实验环境中实施和评估,展示了CP-MDO如何在多个服务类别的最小下降率下实现最小的成本,同时提供最小的页面浏览量响应时间。
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