Call for Contributions

Scope

The ACM/SPEC 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 distributed architectures, and raise continuously important challenges related to end-to-end performance management. This applies equally to emerging domains, such as systems of systems, interconnected and embedded systems, distributed data and intelligence, machine learning environments, human-centered computing, non-von Neumann architectures, cloud/edge/fog infrastructures, data streaming, and social networks, and also to traditional domains, such as web-based, data centers, mobile and wireless systems, and real-time systems. As a result, our systems become more complex and, therefore, more difficult to engineer and understand. We need to manage this complexity so that our systems remain reliable, trustworthy, and performant.

ICPE brings together researchers and practitioners to report state-of-the-art and in-progress research on performance engineering of software, networks, 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

Topics of interest include, but are not limited to:

Performance Measurement and Empirical Evaluation

  • Data collection techniques, simulation, measurement, instrumentation, profiling
  • Controlled experiment design, data-driven experiments, diagnostics
  • Data management and interchange, tool interoperability
  • Statistical analysis, exploration, visualization, visual data mining

Performance Benchmarking

  • Design and standardization process
  • Benchmark suites, investigative benchmarks
  • Benchmark synthesis, benchmark workload generation
  • Benchmarking energy efficiency, resilience, stability, security, and related quality metrics

Performance Modeling of Software and Systems

  • Approaches and metrics for describing performance and related quality attributes
  • Modeling languages and formalisms, modeling methods and tools
  • Explanatory and predictive models, online models
  • Model learning and extraction techniques
  • Model validation and calibration
  • Workload characterization

Design and Development Processes

  • Requirements engineering, agile and experiment-driven techniques, devops
  • Performance-oriented design, software architectures, performance patterns
  • Performance testing
  • Model-driven engineering
  • Humans in the loop, ethical concerns

Run-time Performance Management and Adaptation

  • Adaptive systems, monitoring, autotuning, elasticity and autoscaling, power management
  • Virtualization and consolidation, resource scheduling, capacity management
  • Anomaly detection, service level (definition and monitoring)

Platform-Related Optimizations

  • Parallel programming, multi-core and many-core systems
  • Compiler optimizations, managed languages, and runtime optimization
  • Performance and efficiency of hardware accelerators and novel memory systems

Systems of Interest

Systems of interest include, but are not limited to:

  • Cyber-physical domain, iot, industrial internet
  • Networked and embedded systems
  • Advanced computer architectures, including non-von Neumann
  • Communication networks, wireless and mobile
  • Peer-to-peer environments, ad-hoc networks
  • Machine learning and AI-based systems
  • SOA, microservices, web-based environments
  • Big data systems, stream, and graph processing
  • HPC systems, cloud, edge, grid, and fog
  • Social networks, multimedia systems, and applications

Types of Submissions

ICPE caters to a wide range of submission types with eight distinct submission tracks:

  • Research track for regular research papers on the conference topics
  • Industry track for contributions connecting to the industry
  • Journal-first track for contributions from recent journal publications
  • Artifact track for sharing software and data artifacts
  • Emerging research track for discussing preliminary or vision contributions
  • Poster and demo track for short, interactive contributions
  • Tutorials track for presentations by leading scientists and practitioners
  • Workshops track for specific aspects of performance engineering
  • Data challenge track for addressing the challenges presented by a performance dataset