ICPE 2013 - 4th ACM/SPEC International Conference on Performance Engineering

The goal of the International Conference on Performance Engineering (ICPE) is to integrate theory and practice in the field of performance engineering by providing a forum for sharing ideas and experiences between industry and academia. ICPE is established as a joint meeting of the Association for Computing Machinery (ACM) and the Standard Performance Evaluation Corporation (SPEC). The conference brings together researchers and industry practitioners to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research on performance engineering of software and systems, including performance measurement, modeling, benchmark design, and run-time performance management.
Topics of interest include, but are not limited to:
Performance and software development processes
Performance engineering for systems including but not limited to: smart grids, cloud platforms, sensor nets, manufacturing and handling, embedded systems, transportation control systems, multi-tier systems, event-driven systems
Techniques to elicit and incorporate performance, availability, power and other extra-functional requirements in the early stages of software design
Performance engineering as risk mitigation for software projects
Agile, performance test driven, and/or model-driven performance engineering
Performance engineering in Commercial-of-the-Shelf (COTS) system development
Software performance patterns and anti-patterns
Performance modeling of software and systems
Languages and ontologies for software performance engineering
Specifying, interpreting and exploiting software performance annotations and data
Automatic model discovery during early stages of development
Methods, tools, and tool interoperability
Performance measurement, and experimental analysis
Performance measurement, monitoring, and workload characterization techniques
Test planning, tools for performance load testing, measurement, profiling and tuning
Automated model extraction for functional or partially functional systems
Performance prediction techniques for software and systems
Analytic, simulation, statistical, AI-based, and hybrid modeling methods for performance prediction
Performance prediction for multi-socket, multi-core platforms and virtualized systems
Model validation and calibration techniques
Relationship/integration/tradeoffs among QoS attributes
Benchmarking, configuration, sizing, and capacity planning
Benchmark design and benchmarking methods, metrics, and suites
Development of new, configurable, and/or scalable benchmarks
Use of benchmarks in industry and academia
System configuration, sizing and capacity planning techniques
Run-time performance/power management/optimization
Use of models for run-time configuration and/or management
Online performance prediction and model parameter estimation
Autonomic /self-adaptive resource management
Power consumption models and management techniques
Tradeoffs between performance and energy efficiency