Call for Papers

Performance modeling of software

• Languages and ontologies
• Methods and tools
• Model-driven performance requirements engineering
• Relationship/integration/tradeoffs with other QoS attributes

Performance and development processes

• Software performance patterns and anti-patterns
• Software/performance tool interoperability
  (models and data interchange formats)
• Performance-oriented design, implementation
  and configuration management
• Software Performance Engineering and Model-Driven Development
• Gathering, interpreting and exploiting
  software performance annotations and data
• System sizing and capacity planning techniques

Performance modeling methodologies

• Analytical, simulation and statistical modeling methodologies
• Model validation and calibration techniques
• Automatic model extraction
• Performance modeling and analysis tools

Performance measurement, monitoring and analysis

• Performance measurement and monitoring techniques
• Analysis of measured application performance data
• Application tracing and profiling
• Workload characterization techniques
• Experimental design
• Tools for performance testing, measurement, profiling and tuning

Benchmarking

• Performance metrics and benchmark suites
• Benchmarking methodologies
• Development of parameterizable, flexible benchmarks
• Use of benchmarks in industry and academia

Run-time performance management

• Use of models at run-time
• Online performance prediction
• Autonomic resource management
• Utility-based optimization

Power and performance, energy efficiency

• Power consumption models and management techniques
• Tradeoffs between performance and energy efficiency

Performance modeling and evaluation in different environments and application domains, including, but not limited to

• Service-oriented architectures (SOA)
• Web-based systems, e-business, Web services
• Transaction-oriented systems
• Virtualization and cloud computing
• Communication networks
• Parallel and distributed systems
• Embedded and autonomous systems
• Cluster and grid computing environments
• High performance computing
• Event-based systems
• Real-time and multimedia systems
• Peer-to-peer, mobile and wireless systems