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Intern
    Chair of Computer Science II - Software Engineering

    ACM/SPEC ICPE 2019

    11.04.2019

    10th ACM/SPEC International Conference on Performance Engineering, April 7-11 2019, Mumbai, India

    https://icpe2019.spec.org

    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. Modern systems, such as big data and machine learning environments,  data centers and cloud infrastructures, social networks, peer-to-peer, mobile and wireless systems, cyber-physical systems, the Internet of Things or more traditional ones such as web-based or real-time systems, rely increasingly on distributed and dynamic architectures and pose a challenge to their  end-to-end performance management.

    ICPE brings together researchers and practitioners to 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. The focus is both on classical metrics such as response time, throughput, resource utilization, and (energy) efficiency, as well as on the relationship of such metrics to other system properties including but not limited to scalability, elasticity, availability, reliability, cost, sustainability, security and privacy.

    This year's main theme is "performance engineering in the Artificial  Intelligence era."  We are looking for contributions that use AI techniques to enhance the performance modeling, estimation, and optimization of complex systems. At the same time we are looking for contributions that analyze and improve AI systems.

    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

    Performance and software development processes/paradigms
    * 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
    * (Model-driven) Performance requirements engineering
    * Relationship between performance and architecture
    * Collaboration of development and operation (DevOps) for performance
    * Performance and agile methods
    * Performance in Service-Oriented Architectures (SOA)
    * Performance of microservice architectures and containers
    * DevOps and Performance

    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
    * 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
    * Web-based systems, e-business, Web services
    * Big data systems and data analytics
    * Deep-learning systems systems
    * Internet of Things
    * Social networks
    * Cyber-physical systems
    * Industrial Internet (Industry 4.0)
    * Blockchain
    * Virtualization and cloud computing
    * Autonomous/adaptive systems
    * Transaction-oriented systems
    * Communication networks
    * Parallel and distributed systems
    * Embedded systems
    * Multi-core systems
    * Cluster and grid computing environments
    * High performance computing
    * Event-based systems
    * Real-time and multimedia systems
    * Low-latency systems
    * Peer-to-peer, mobile and wireless systems

    All other topics related to performance of software and systems.

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