Conference Information
ICPE 2018 : International Conference on Performance Engineering
https://icpe2018.spec.org/
Submission Date:
2017-10-16
Notification Date:
2017-12-08
Conference Date:
2018-04-09
Location:
Berlin, Germany
Years:
9
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Conference Location
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Call For Papers
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. Nowadays, complex systems of all types, like Web-based systems, data centers and cloud infrastructures, social networks, peer-to-peer, mobile and wireless systems, cyber-physical systems, the Internet of Things, real-time and embedded systems, have increasingly distributed and dynamic system architectures that provide high flexibility, however, also increase the complexity of managing end-to-end application performance. ICPE 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. The focus of ICPE is both on classical metrics such as response time, throughput, resource utilization, and (energy) efficiency, as well as on the relationship to other system properties including but not limited to scalability, elasticity, availability, reliability, and security.

A variety of contribution styles is solicited. ICPE 2018 features the following tracks:

    Research Papers Track
    Industry and Experience Track
    Artifact Evaluation Track
    Posters and Demonstrations
    Tutorials Track
    Workshops Track
    Work in Progress and Vision Track
    Doctoral Symposium

See the submission information for each track for further details.

This year's main theme is "continuous performance assurance in agile delivery"
Topics of Interest

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
    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 micro-service architectures and containers

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 monitoring

    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, deep-learning systems, and other data analytics systems
    Internet of Things
    Social networks
    Cyber-physical systems
    Industrial Internet (Industry 4.0)
    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.
Last updated by Dou Sun in 2017-09-16
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