Understanding the management of client perceived response time

Abstract

Understanding and managing the response time of web services is of key importance as dependence on the World Wide Web continues to grow. We present Remote Latency-based Management (RLM), a novel server-side approach for managing pageview response times as perceived by remote clients, in real-time. RLM passively monitors server-side network traffic, accurately tracks the progress of page downloads and their response times in real-time, and dynamically adapts connection setup behavior and web page content as needed to meet response time goals. To manage client perceived pageview response times, RLM builds a novel event node model to guide the use of several techniques for manipulating the packet traffic in and out of a web server complex, including fast SYN and SYN/ACK retransmission, and embedded object removal and rewrite. RLM operates as a stand-alone appliance that simply sits in front of a web server complex, without any changes to existing web clients, servers, or applications. We have implemented RLM on an inexpensive, commodity, Linux-based PC and present experimental results that demonstrate its effectiveness in managing client perceived pageview response times on transactional e-commerce web workloads.

Waiting times in quality of experience for web based services

“…Another relevant metric is the duration from request submission until the rendering of the new page starts, i.e. when the user receives the first visual sign of progress [10,45]. In dedicated lab studies, these page view centric metrics have been shown to directly correlate with QoE [27,28].…”

Operational Scheme for Large Scale Web Server Cluster Systems

“…2007년 Naver를 기 준으로 1일 방문자 수는 총 2,200만 명으로 발표되었다 [14] . Table 1은 사용자의 -내부 DNS (Domain Name Server)가 Real IP Address 를 변환하는데 소요되는 TCP Communication Overhead setup time: 75ms (Olshefski [16] 참조).…”

The Impact of Soft Resource Allocation on n-Tier Application Scalability

“…Feedback-control approaches [19]- [21] have been applied to optimize soft resource allocation or hardware provisioning during run-time. The feedback is generated based on a given SLA specification such as response time limit or resource utilization boundaries.…”