Performance of multi-level client-server systems with parallel service operations
Proceedings of the 1st international workshop on Software and performance
Origins of Software Performance Engineering: Highlights and Outstanding Problems
Performance Engineering, State of the Art and Current Trends
Resource Function Capture for Performance Aspects of Software Components and Sub-Systems
Performance Engineering, State of the Art and Current Trends
Origins of Software Performance Engineering: Highlights and Outstanding Problems
Performance Engineering, State of the Art and Current Trends
Configuration of distributed message converter systems
Performance Evaluation
Automatic generation of layered queuing software performance models from commonly available traces
Proceedings of the 5th international workshop on Software and performance
The Journal of Supercomputing
Introduction to software performance engineering: origins and outstanding problems
SFM'07 Proceedings of the 7th international conference on Formal methods for performance evaluation
From annotated software designs (UML SPT/MARTE) to model formalisms
SFM'07 Proceedings of the 7th international conference on Formal methods for performance evaluation
Resource architecture and continuous performance engineering
QoSA'07 Proceedings of the Quality of software architectures 3rd international conference on Software architectures, components, and applications
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Very few analytic models have been reported for distributed database systems, perhaps because of complex relationships of the different kinds of resources in them. Layered Queueing Models seem to be a natural framework for these systems, capable of modeling all the different features which are important for performance (eg. devices, communications, multi-threaded processes, locking). To demonstrate the suitability of the layered framework a previous queueing study of the CARAT distributed testbed has been recast as a layered model. Whereas the queueing model bears no obvious resemblance to the database system, the layered model directly reflects its architecture. The layered model predictions have about the same accuracy as the queueing model.