Call for Contributions
ICPE 2019 10th ACM/SPEC International Conference on Performance Engineering Sponsored by ACM SIGMETRICS, SIGSOFT, and SPEC RG Mumbai, India April 7-11, 2019 Web: https://icpe2019.spec.org/ Twitter: https://twitter.com/ICPEconf/
Research and industrial/experience abstracts submission: Oct 13, 2018 Research and industrial/experience papers submission: Oct 15, 2018 Research and industrial/experience paper notification: Dec 07, 2018 Camera-ready: Feb 15, 2019
Artifact registration: Dec 14, 2018 Artifact submission: Dec 22, 2018 Artifact notification: Feb 08, 2019
Work-in-progress/vision papers submission: Jan 11, 2019 Work-in-progress/vision paper notification: Feb 8, 2019 Camera-ready: Feb 22, 2019
Poster/demo submission: Jan 14, 2019 Poster/demo notification: Jan 28, 2019 Camera-ready: Feb 15, 2019
Workshop Proposals submission: Oct 12, 2018 Workshop Proposals Notification: Oct 29, 2018
SCOPE AND TOPICS
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 privacy.
This year's main theme is "performance engineering in the Artificial Intelligence era." We are looking for contributions that use AI techniques to enhance the performance modeling, estimation, and optimization of complex systems. At the same time we are looking for contributions that analyze and improve AI systems.
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
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.
Authors will be requested to self-classify their papers according to the provided topic areas when submitting their papers.
Submissions to all tracks need to be uploaded to ICPE's submission system and conform to the ACM submission format. For detailed submission instructions, please visit: https://icpe2019.spec.org/tracks-and-submissions.html
At least one author of each accepted paper is required to register at the full rate, attend the conference and present the paper. Presented papers will appear in the ICPE 2019 conference proceedings that will be published by ACM and included in the ACM Digital Library.
Authors of accepted research papers are invited to submit an artifact to the ACM/SPEC ICPE 2019 Artifact Track. If an artifact is accepted, it will receive one of the following badges in the text of the paper and in the ACM Digital Library: i. Artifacts Evaluated - Functional: The artifacts are complete, well-documented and allow to obtain the same results as the paper. ii. Artifacts Evaluated - Reusable: As above, but the artifacts are of such a high quality that they can be reused as is on other data sets, or for other purposes. iii. Artifacts Available: For artifacts made permanently available. This will only be awarded in conjunction with one of the Artifacts Evaluated badges.
The highest quality papers, judged by multiple relevant factors, will be recognized with an award. Authors of selected papers will be invited to submit an extended version of their work to a journal.
PROGRAM COMMITTEE (RESEARCH PAPERS)
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 Demos 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 *Tilmman Rabl, TU Berlin, Germany
Finance Chair *Manoj Nambiar, TCS Research, India
Publications Chair *Philipp Leitner, University of Gothenburg, Sweden
Publicity Chair *Abhay Pendse, Persistent Systems, India *Ana Lucia Varbanescu, University of Amsterdam, Netherland *Nikolas Herbst, University of Würzburg, Germany
Social Media Chair *Vipul Mathur, Peritus AI, India
Web Site Chair *Joydeep Mukherjee, York University, Canada
Registration Chair *Rupinder Virk, TCS, India
Local Arrangements Chair *Shruti Kunde, TCS, India