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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

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 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.