Conference Information
ICPE 2022: International Conference on Performance Engineering
Submission Date:
2021-10-14 Extended
Notification Date:
Conference Date:
Beijing, China
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Call For Papers

The International Conference on Performance Engineering (ICPE) is the leading international forum for presenting and discussing novel ideas, innovations, trends, and experiences in the field of performance engineering. Today’s systems are complex, rely increasingly on dynamic architectures, and raise continuously important challenges related to end-to-end performance management. This applies equally to emerging domains, such as cyber-physical systems, and the Internet of Things, big data and machine learning environments, cloud/edge/fog infrastructures, and social networks, and also to traditional domains, such as web-based, data centers, mobile and wireless systems, and real-time systems.

ICPE brings together researchers and practitioners to report state-of-the-art and in-progress research on performance engineering of software and systems, including but not limited to performance modeling, analysis, measurement, benchmark design, and run-time performance management. The focus is both on classical metrics such as response time, throughput, resource utilization, and (energy) efficiency, and on the relationship of such metrics to other system properties including but not limited to scalability, elasticity, availability, reliability, cost, sustainability, security, and privacy.


Topics of interest include, but are not limited to:

Performance modeling of software

    Languages and ontologies
    Methods and tools
    Relationship/integration/tradeoffs with other QoS attributes
    Analytical, simulation, and statistical modeling methodologies
    Machine learning and neural networks
    Model validation and calibration techniques
    Automatic model extraction
    Performance modeling and analysis tools
    Traceability of software and performance artifacts
    Control of software performance evolution

Performance and software development processes/paradigms

    Software performance testing
    Software performance (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
    (Model-driven) Performance requirements engineering
    Relationship between performance and architecture
    Performance and agile methods
    Performance in (micro)service-based and serverless systems
    Software and system scalability and its impact on performance

Performance measurement, monitoring, and analysis

    Application tracing and profiling
    Workload characterization techniques
    Experimental design
    Tools and techniques for performance testing, measurement, profiling and tuning,
    and analysis of the resulting data


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

Run-time performance management and adaptation

    Machine learning and runtime performance decisions
    Context modeling and analysis
    Runtime model estimation
    Use of models at run-time
    Online performance prediction
    Autonomic resource management
    Utility-based optimization
    Capacity management

Power and performance, energy efficiency

    Power consumption models and management techniques
    Tradeoffs between performance and energy efficiency
    Performance-driven resource and power management

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

    Cyber-physical systems
    Internet of Things and Industrial Internet (Industry 4.0)
    Communication networks, and embedded, mobile, and wireless systems
    Web-based systems, e-business, Web services
    Big data systems and data analytics
    Machine Learning and Deep-learning systems
    Social networks
    Peer-to-peer systems, including emerging areas such as Blockchain
    Autonomous/adaptive systems
    Transaction-oriented and database systems
    Parallel and distributed systems
    Multi-core, HPC, and other parallel systems
    Cluster, cloud/edge/fog, and grid computing environments
    Control and event-based systems
    Real-time and multimedia systems

All other topics related to the performance engineering of software and systems.
Last updated by Durant Thorvalds in 2021-10-09
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