Model-Driven Web Engineering Performance Prediction with Layered Queue Networks

نویسندگان

  • Alessio Gambi
  • Giovanni Toffetti Carughi
  • Sara Comai
چکیده

This position paper describes an approach to predict the performances of a Web application already in the early stages of application development. It leverages the wealth of information of MDWE solutions to automatically obtain accurate representations of the running application in terms of layered queue networks (LQNs), i.e., analytical models simulating the behavior of the system and computing the performances mathematically. In particular, the paper discusses how a MDWE methodology can be exploited to generate such performance models and presents a proof of concept example.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On Event-driven Approach of Layered Multicast to Network Adaptation in RED-based IP Networks

In this work, we investigate the congestion control problem for layered video multicast in IP networks of active queue management (AQM) using a simple random early detection (RED) queue model. AQM support from networks improves the visual quality of video streaming but makes network adaptation more difficult for existing layered video multicast proticols that use the event-driven timer-based ap...

متن کامل

A Novel Algorithm to Model the Queue Limit

The performance of web-based software systems is one of the most important and complicated consideration. These systems access some resources while executing the requests of the clients, typically several requests arrive at the same time, thus, competitive situation is established for the resources. In case of modeling such situation queueing model-based approaches are widely recognized. The go...

متن کامل

Signal Prediction by Layered Feed - Forward Neural Network (RESEARCH NOTE).

In this paper a nonparametric neural network (NN) technique for prediction of future values of a signal based on its past history is presented. This approach bypasses modeling, identification, and parameter estimation phases that are required by conventional parametric techniques. A multi-layer feed forward NN is employed. It develops an internal model of the signal through a training operation...

متن کامل

PREDICTION OF COMPRESSIVE STRENGTH AND DURABILITY OF HIGH PERFORMANCE CONCRETE BY ARTIFICIAL NEURAL NETWORKS

Neural networks have recently been widely used to model some of the human activities in many areas of civil engineering applications. In the present paper, artificial neural networks (ANN) for predicting compressive strength of cubes and durability of concrete containing metakaolin with fly ash and silica fume with fly ash are developed at the age of 3, 7, 28, 56 and 90 days. For building these...

متن کامل

Analysis of Emergency Department Queue System Performance: Simulation Approach Based on Experiment Design

Background: Simulation is an appropriate technique for analyzing and evaluating the dynamic behavior of complex systems. The present study aimed to develop an integrated model using a simulation approach based on designing experiments to analyze performance of the admission queue system of patients, who referred to the emergency department of the Modarres hospital. Methods: In this descriptive...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010