Presentation at the 8th European Conference on Software Architecture (ECSA), 2014.08, Vienna, Austria. More details about the paper at https://sites.google.com/site/vaneachiprianov/papers .

1. Vanea CHIPRIANOV
Katrina FALKNER
Claudia SZABO
Gavin PUDDY
Architectural Support for Model-driven Performance Prediction of
Distributed Real-time Embedded Systems of Systems

2. Agenda
 Challenges in predicting the performance of
Distributed Real-time Embedded (DRE)
Systems of Systems (SoS)
 Requirements for an architectural framework
 Architectural framework
 Conclusions and perspectives
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3. Challenges in predicting the
performance of DRE SoS
 SoS
 Operational independence
 Different levels of performance for component systems
 Managerial independence
 Different organisation agendas
 Evolutionary behaviour
 No complete specification at design time
 Emergent behaviour
 How does it impact performance ?
 Where are the solutions needed ?
 Geographic distribution
 Numerous and long paths of interaction
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4. Challenges in predicting the
performance of DRE SoS
 DRE
 Hard constraints on non-functional properties to meet the
requirements of space, weight, power, etc.
 Usually fielded, extensively tested systems => important
assests to be reused
 => Explore the expected performance through the
investigation of several alternatives to system architecture
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5. Requirements for an architectural
framework
1) Loose coupling
2) Interoperability of composing systems
3) Interaction specification
4) Time and data distribution
5) Adaptability
6) Sustainable evolution
7) User interaction
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6. Architectural framework
 Event Driven Architecture (EDA)
 Event generator
 Event sink
 Event processing engine
 Event channel
 Event triggering, notification propagation & publishing
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7. Architectural framework
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8. Architectural framework
 Software Architecture for Performance
Prediction of DRE Standalone Systems
 System Execution Modelling (SEM)
 Measurement-based performance prediction
 Based on models of resource consumption
 Enable prediction of performance through execution of
representative source code of behaviour and workload
models
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9. Architectural framework
 Software Architecture for Performance
Prediction of DRE Standalone Systems
Falkner, K., Chiprianov, V., Falkner, N., Szabo, C., Hill, J., Puddy, G., Fraser, D., Johnston, A., Rieckmann, M., Wallis, A.: Model-driven
performance prediction of distributed real-time embedded defence systems. In: The 18th Intl Conf. On Engineering of Complex Computer
Systems, Singapore (2013) 155–158
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10. Architectural framework
 Scenario Domain Specific Modelling Language
(DSML)
 Describe factors that influence the behaviour of the SoS
 (Describe dynamics of interactions between composing
systems)
 Contains concepts of Event Driven Architecture
 => generic w.r.t. composing systems models
 Model Driven Engineering (MDE) and code generation for
adaptability
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11. Architectural framework
 Scenario DSML
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12. Conformity of the Architectural
framework to Requirements
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13. Conclusions and Perspectives
 Conclusions
 Identified and analysed challenges to modelling and
predicting performance of DRE SoS
 Proposed architectural framework based on Model Driven
Engineering, DSML, code generation
 Event Driven Architecture Scenario DSML
 Perspectives
 Integrate other non-functional properties (e.g. security,
fault tolerance)
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