Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Throughput calculation for basic stochastic rendezvous networks
Performance Evaluation
Introduction to OSF DCE (rev. 1.0)
Introduction to OSF DCE (rev. 1.0)
Reference architecture for distributed systems management
IBM Systems Journal
Computational algorithms for closed queueing networks with exponential servers
Communications of the ACM
IEEE Transactions on Software Engineering
Some Extensions to Multiclass Queueing Network Analysis
Proceedings of the Third International Symposium on Modelling and Performance Evaluation of Computer Systems: Performance of Computer Systems
Consistency issues in distributed application performance metrics
CASCON '94 Proceedings of the 1994 conference of the Centre for Advanced Studies on Collaborative research
Services supporting management of distributed applications and systems
IBM Systems Journal
Ensuring responsiveness and scalability for distributed applications
CASCON '95 Proceedings of the 1995 conference of the Centre for Advanced Studies on Collaborative research
Automatic generation of performance models for distributed application systems
CASCON '96 Proceedings of the 1996 conference of the Centre for Advanced Studies on Collaborative research
CPU demand for web serving: Measurement analysis and dynamic estimation
Performance Evaluation
Estimating service resource consumption from response time measurements
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Resource demand modeling for multi-tier services
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
A measurement framework for the parameterization of performance models of SOA-based systems
SE '08 Proceedings of the IASTED International Conference on Software Engineering
Tracking adaptive performance models using dynamic clustering of user classes
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
MODE: mix driven on-line resource demand estimation
Proceedings of the 7th International Conference on Network and Services Management
Automated simulation-based capacity planning for enterprise data fabrics
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
Automated extraction of architecture-level performance models of distributed component-based systems
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
LibReDE: a library for resource demand estimation
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
| Hi-index | 0.00 |
The performance engineering of distributed applications requires models that capture contention for both hardware and software resources. Layered queueing models have been proposed for modeling distributed applications but they require model parameters that can be difficult to measure directly. In particular, measures of resource demand must be found for each of the services provided by application processes.We consider two approaches for collecting the resource demands of services. The first is a measurement-based approach where resource consumption is specifically allocated to each service. The second makes use of performance measures available from operating systems and distributed application performance monitors but employs statistical techniques to estimate the resource demands of each of the services. This paper discusses the trade-off between these two approaches and presents results from the statistical analysis.