Model-Based Performance Prediction in Software Development: A Survey
IEEE Transactions on Software Engineering
Performance by unified model analysis (PUMA)
Proceedings of the 5th international workshop on Software and performance
Proceedings of the 5th international workshop on Software and performance
Parameter inference of queueing models for IT systems using end-to-end measurements
Performance Evaluation
Exploring performance trade-offs of a JPEG decoder using the deepcompass framework
WOSP '07 Proceedings of the 6th international workshop on Software and performance
Rule-based automatic software performance diagnosis and improvement
WOSP '08 Proceedings of the 7th international workshop on Software and performance
The Palladio component model for model-driven performance prediction
Journal of Systems and Software
Applying Model Transformations to Optimizing Real-Time QoS Configurations in DRE Systems
QoSA '09 Proceedings of the 5th International Conference on the Quality of Software Architectures: Architectures for Adaptive Software Systems
ArcheOpterix: An extendable tool for architecture optimization of AADL models
MOMPES '09 Proceedings of the 2009 ICSE Workshop on Model-Based Methodologies for Pervasive and Embedded Software
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Performance evaluation of component-based software systems: A survey
Performance Evaluation
Product-form approximation of queueing networks with phase-type service
ACM SIGMETRICS Performance Evaluation Review
WICSA-ECSA '12 Proceedings of the 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture
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Cloud Computing is assuming a relevant role in the world of web applications and web services. Cloud technologies allow to build dynamic systems which are able to adapt their performance to workload fluctuations delegating to the Cloud Provider the intensive tasks of management and maintenance of the cloud infrastructure. Which is the best provider for our application? The application will guarantee the required service level objectives (SLOs)? Those are relevant issues that call for a tool able to carry on cost and performance analysis of the system before its actual development. In designing a software application to be executed in a cloud environment, the most relevant issues to be addressed are determining which cloud provider to use and verifying if the target system will present the required performance levels. The goal of this work is to provide a model-driven approach to performance and cost estimation of cloud and multi-cloud systems. We considered the IaaS (Infrastructure-as-a_Service) and PaaS (Platform-as-a-Service) levels. The modelling of such systems has involved different abstraction levels, starting from the representation of cloud applications and ending with the modelling of the underlying insfrastructure/platform belonging to specific Cloud Providers. An initial prototype supporting our approach is also presented.