A Calibration Framework for Capturing and Calibrating Software Performance Models
EPEW '08 Proceedings of the 5th European Performance Engineering Workshop on Computer Performance Engineering
Active Energy-Aware Management of Business-Process Based Applications
ServiceWave '08 Proceedings of the 1st European Conference on Towards a Service-Based Internet
Model evolution by run-time parameter adaptation
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
An adaptive feedback controller for SIP server memory overload protection
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Performance model driven QoS guarantees and optimization in clouds
CLOUD '09 Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing
Predicting Performance Properties for Open Systems with KAMI
QoSA '09 Proceedings of the 5th International Conference on the Quality of Software Architectures: Architectures for Adaptive Software Systems
Monitoring probabilistic properties
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Black-box performance models: prediction based on observation
Proceedings of the 1st international workshop on Quality of service-oriented software systems
Automated extraction of palladio component models from running enterprise Java applications
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Real-time performance modeling for adaptive software systems
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
A performance experiment system supporting fast mapping of system issues
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
A business driven cloud optimization architecture
Proceedings of the 2010 ACM Symposium on Applied Computing
Performance evaluation of component-based software systems: A survey
Performance Evaluation
Performance aware reconfiguration of software systems
EPEW'10 Proceedings of the 7th European performance engineering conference on Computer performance engineering
Integrated estimation and tracking of performance model parameters with autoregressive trends
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Using observation ageing to improve markovian model learning in QoS engineering
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Run-time efficient probabilistic model checking
Proceedings of the 33rd International Conference on Software Engineering
An adaptive fine-grained performance modeling approach for internetware
Proceedings of the Second Asia-Pacific Symposium on Internetware
When the requirements for adaptation and high integrity meet
Proceedings of the 8th workshop on Assurances for self-adaptive systems
QoS verification and model tuning @ runtime
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
CloudOpt: multi-goal optimization of application deployments across a cloud
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
Statistical inference of software performance models for parametric performance completions
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
Systematic adoption of genetic programming for deriving software performance curves
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
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
Architecture-driven reliability optimization with uncertain model parameters
Journal of Systems and Software
Self-adaptive software needs quantitative verification at runtime
Communications of the ACM
On the challenges of self-adaptation in systems of systems
Proceedings of the First International Workshop on Software Engineering for Systems-of-Systems
Efficient optimization of software performance models via parameter-space pruning
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
Adaptive model learning for continual verification of non-functional properties
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
Constructing performance model of JMS middleware platform
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
LibReDE: a library for resource demand estimation
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
Real-time multi-cloud management needs application awareness
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
Indirect estimation of service demands in the presence of structural changes
Performance Evaluation
| Hi-index | 0.02 |
To update a performance model, its parameter values must be updated, and in some applications (such as autonomic systems) tracked continuously over time. Direct measurement of many parameters during system operation requires instrumentation which is impractical. Kalman filter estimators can track such parameters using other data such as response times and utilizations, which are readily observable. This paper adapts Kalman filter estimators for performance model parameters, evaluates the approximations which must be made, and develops a systematic approach to setting up an estimator. The estimator converges under easily verified conditions. Different queueing-based models are considered here, and the extension for state-based models (such as stochastic Petri nets) is straightforward.