Tuesday, 2017-09-19

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Call for Papers

The goal of the International Conference on Performance Engineering (ICPE) is to bridge the gap between theory and practice in the field of performance engineering by providing a forum for sharing ideas and experiences between industry and academia. The conference will bring 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.

Various different kinds of papers are sought: basic and applied research, industrial experience reports, work-in-progress and vision papers with different criteria for each category. Authors are invited to submit original, unpublished papers that are not being considered in another forum. Duplicate submissions will be rejected without review. At least one author of each accepted paper is required to attend the conference and present the paper. Only the accepted and presented papers will be published in the ICPE 2011 Conference Proceedings.

The conference proceedings will be published by ACM and included in the ACM Digital Library. Additionally, the abstracts of accepted papers in the research and industrial/experience tracks will be published in SIGMETRICS PER and SIGSOFT SEN.

Extended versions of selected papers will be considered for publication in a Special Issue of the Journal Software and Systems Modeling (SoSyM). The best conference paper will receive a BEST PAPER AWARD.

Topics of interest include (but are not limited to) the following areas:

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