Analytic model of Web servers in distributed environments

Abstract

In this paper, we illustrate a model-based approach to Web server performance evaluation, and present an analytic queueing model of Web servers in distributed environments. Performance predictions from the analytic model match well with the performance observed from simulation. The model forms an excellent basis for a decision support tool to allow system architects to predict the behavior of new systems prior to deployment, or existing systems under new workload scenarios.

A discrete event simulation tool for performance management of web-based application systems

“…Several authors (Rolia and Sevcik, 1995;Ramesh and Perros, 2000a, b;Reeser and Hariharan, 2002;Urgaonkar et al, 2005) have presented queuing network models for simple web-based applications. A queuing model of a very simple web server presented in Reeser and Hariharan (2002) incorporates dynamic server-side computing in a distributed environment.…”

“…A queuing model of a very simple web server presented in Reeser and Hariharan (2002) incorporates dynamic server-side computing in a distributed environment. The model serves as a building block of a decision support tool for evaluating behaviour of new systems prior to their deployment and a tool to estimate the behaviour of existing systems under new workload scenarios.…”

“…Past work on simulating computer systems has typically focused on simulating at the computer hardware level (Keezer, 1997) or focused on modelling the system level software components (Reeser and Hariharan, 2002). Gralewitz et al (2004) model networking technologies using the COMNET III simulation tool.…”

PerfCenter: A Methodology and Tool for Performance Analysis of Application Hosting Centers

“…The work in recent years has focussed immensely on translation of high-level specification, to the formalisms accepted by such models [10], [6], [7], [17], assuming that a tool for the solution of the model is available. Some amount of work has also been done in developing more accurate (as opposed to generic) models of a system, so that more detailed behaviour can be specified and analyzed [8], or in developing models specific to certain software technologies [11], [16].…”

A computational complexity-aware model for performance analysis of software servers

“…Performance analysis techniques of measurement and/or modeling therefore need to be applied to the software systems [1]. Hence queueing models are often used to model software performance [8].…”