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Using Load Dependent Servers to Reduce the Complexity of Large Client-Server Simulation Models (2001)
| Venue: | In Performance Engineering: State of the Art and Current Trends, LNCS 2047 |
BibTeX
@INPROCEEDINGS{And01usingload,
author = {Mariela Curiel And and Mariela Curiel and Ramon Puigjaner},
title = {Using Load Dependent Servers to Reduce the Complexity of Large Client-Server Simulation Models},
booktitle = {In Performance Engineering: State of the Art and Current Trends, LNCS 2047},
year = {2001},
pages = {131--147},
publisher = {Springer Verlag}
}
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Abstract
The process of developing software systems that meet performance objectives has been called Software Performance Engineering (SPE). The goal of SPE techniques is to construct performance models in each phase of the software development cycle. This allows us to detect designs that are likely to exhibit unacceptable performance. Simple models are preferable in early stages of the development cycle because their solutions require less computational effort and time. Hence, our research is oriented to reduce the execution time of large client-server simulation models by replacing some of their components, by less time-consuming models: Load Dependent Servers (LDS). In this chapter we describe the construction of Load Dependent Servers that model server stations with transactional workloads. These LDS also include a representation of the main overhead sources in transactional environments: operating system and DBMS overhead. As case study we model a server station running TPC-C transactions.
Keyphrases
load dependent server large client-server simulation model computational effort software development cycle development cycle model server station transactional environment unacceptable performance software performance engineering case study performance model main overhead source simple model early stage execution time transactional workload software system server station operating system spe technique tpc-c transaction time-consuming model performance objective
