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ICPE 2022 : ACM/SPEC International Conference on Performance Engineering

ICPE 2022 : ACM/SPEC International Conference on Performance Engineering

Beijing , China

Submission Deadline: Friday 30 Sep 2022

Conference Dates: Apr 09, 2022 - Apr 13, 2022

Impact Score 2.97


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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 2.97
Contributing Top Scientist: 25
Papers published by Top Scientists 30
Research Ranking (Computer Science) 262

Conference Call for Papers

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
Traceability of software and performance artifacts
Control of software performance evolution
Performance and software development processes/paradigms

Software performance testing
Software performance (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
Performance and agile methods
Performance in (micro)service-based and serverless systems
Software and system scalability and its impact on performance
Performance measurement, monitoring, and analysis

Application tracing and profiling
Workload characterization techniques
Experimental design
Tools and techniques for performance testing, measurement, profiling and tuning,
and analysis of the resulting data

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, including but not limited to:

Cyber-physical systems
Internet of Things and Industrial Internet (Industry 4.0)
Communication networks, and embedded, mobile, and wireless systems
Web-based systems, e-business, Web services
Big data systems and data analytics
Machine Learning and Deep-learning systems
Social networks
Peer-to-peer systems, including emerging areas such as Blockchain
Autonomous/adaptive systems
Transaction-oriented and database systems
Parallel and distributed systems
Multi-core, HPC, and other parallel systems
Cluster, cloud/edge/fog, and grid computing environments
Control and event-based systems
Real-time and multimedia systems
All other topics related to the performance engineering of software and systems.

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