Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Capacity planning and performance modeling: from mainframes to client-server systems
Capacity planning and performance modeling: from mainframes to client-server systems
Techniques and tools for reliability and performance evaluation: problems and perspectives
Proceedings of the 7th international conference on Computer performance evaluation : modelling techniques and tools: modelling techniques and tools
An interactive graphical modeling tool for performance and process simulation
WSC '93 Proceedings of the 25th conference on Winter simulation
The Practical Performance Analyst: Performance-by-Design Techniques for Distributed Systems
The Practical Performance Analyst: Performance-by-Design Techniques for Distributed Systems
Software Performance Engineering
Performance Evaluation of Computer and Communication Systems, Joint Tutorial Papers of Performance '93 and Sigmetrics '93
A Measurement Methodology to Calibrate Analytical Models including Operating System Overhead
MASCOTS '98 Proceedings of the 6th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Modeling Overhead in Servers with Transactional Workloads
MASCOTS '99 Proceedings of the 7th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Using complete machine simulation to understand computer system behavior
Using complete machine simulation to understand computer system behavior
Computer Performance Evaluation Methodology
IEEE Transactions on Computers
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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 likey to exhibit unacceptable performance. Simple models are preferable in early stages of the development cycle because their soulotion 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 componments, by less time-consuming models: Load Depenndent Servers (LDS). In this chapter we describe the constrution of Load Dependent Servers that models Servers station with transactional workloads. These LDS also include a represention 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.