活动简介
The 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. Modern systems, such as big data and machine learning environments, data centers and cloud infrastructures, social networks, peer-to-peer, mobile and wireless systems, cyber-physical systems, the Internet of Things or more traditional ones such as web-based or real-time systems, rely increasingly on distributed and dynamic architectures and pose a challenge to their end-to-end performance management.ICPE brings together researchers and practitioners to 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 is both on classical metrics such as response time, throughput, resource utilization, and (energy) efficiency, as well as on the relationship of such metrics to other system properties including but not limited to scalability, elasticity, availability, reliability, cost, sustainability, security and privacyibutions that use AI techniques to enhance the performance modeling, estimation, and optimization of complex.
组委会
General Chairs
- Antinisca Di Marco, University of L'Aquila, Italy
- Varsha Apte, IIT Bombay, India
Research Program Chairs
- Marin Litoiu, York University, Canada
- José Merseguer, Universidad de Zaragoza, Spain
Industry Program Chair
- David Schmidt, HPE, USA
Artifact Evaluation Chairs
- Matthew Forshaw, Newcastle, UK
- Meikel Poess, Oracle, USA
Workshop Chairs
- Davide Arcelli, University of L'Aquila, Italy
- Elena Gómez-Martínez, Universidad Autónoma de Madrid, Spain
Tutorials Chair
- Radu Calinescu, University of York, UK
- Enrico Vicario, University of Florence, Italy
Posters and Demonstrations Chair
- Tadashi Dohi, Hiroshima University, Japan
Work in Progress and Vision Track Chair
- Huaming Wu, Tianjin University, China
- Mirco Tribastone, IMT School for Advanced Studies Lucca, Italy
Awards Chairs
- André van Hoorn, University of Stuttgart, Germany
- Tilmann Rabl, TU Berlin, Germany
Finance Chair
- Manoj Nambiar, TCS Research, India
征稿信息
重要日期
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
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 microservice architectures and containers
* DevOps and Performance
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 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
* Web-based systems, e-business, Web services
* Big data systems and data analytics
* Deep-learning systems systems
* Internet of Things
* Social networks
* Cyber-physical systems
* Industrial Internet (Industry 4.0)
* Blockchain
* 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
作者指南
Authors are invited to submit original, unpublished papers that are not being considered in any other forum. A variety of contribution styles for papers is solicited including: basic and applied research papers for novel scientific insights, industrial and experience papers reporting on applying performance engineering or benchmarks in practice, and work-in-progress/vision papers for ongoing innovative work. Different acceptance criteria apply based on the expected content of the individual contribution types.
全部留言
重要日期
-
会议日期
04月07日
2019
至04月11日
2019
-
10月13日 2018
摘要截稿日期
-
10月15日 2018
初稿截稿日期
-
12月07日 2018
初稿录用通知日期
-
04月11日 2019
注册截止日期
留言