Call for Contributions
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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/
Contact Email: icpeconf2019@gmail.com
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IMPORTANT DATES
Poster and Demo Papers
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Submission: Jan 14, 2019
Notification: Jan 28, 2019
Camera-ready paper submission: Feb 18, 2019
Tutorials
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Proposal submission: Jan 14, 2019
Notification: Jan 28, 2019
Camera-ready paper submission: Feb 18, 2019
Work-in-Progress
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Paper submission: Jan 11, 2019
Notification: Feb 08, 2019
Camera-ready paper submission: Feb 18, 2019
All dates are given in Anywhere on Earth (AoE).
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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
All other topics related to performance of software and systems.
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SUBMISSION GUIDELINES
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.
AUTHORS TAKE NOTE: The official publication date is the date the
proceedings are made available in the ACM Digital Library. This date may
be up to two weeks prior to the first day of your conference. The
official publication date affects the deadline for any patent filings
related to published work. (For those rare conferences whose proceedings
are published in the ACM Digital Library after the conference is over,
the official publication date remains the first day of the conference.)
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PROGRAM COMMITTEE (RESEARCH PAPERS)
Jose Nelson Amaral, University of Alberta, Canada
Cristiana Amza, University of Toronto, Canada
Alberto Avritzer, EsulabSolutions, Inc., USA
Steffen Becker, University of Stuttgart, Germany
Umesh Bellur, IIT Bombay, India
Simona Bernardi, Universidad de Zaragoza, Spain
Cor-Paul Bezemer, University of Alberta, Canada
Andre Bondi, Software Performance and Scalability Consulting LLC, USA
Radu Calinescu, University of York, UK
Lucy Cherkasova, ARM Research, USA
Vittorio Cortellessa, University of L'Aquila, Italy
Vittoria De Nitto Personé, University of Rome Tor Vergata, Italy
Tadashi Dohi, Hiroshima University, Japan
Hamoun Ghanbari, Amazon, Canada
Abel Gómez, Universitat Oberta de Catalunya, Spain
Wilhelm Hasselbring, Kiel University, Germany
André van Hoorn, University of Stuttgart, Germany
Alexandru Iosup, Vrije Universiteit Amsterdam and TU Delft, The Netherlands
Zhen Ming Jack Jiang, York University, Canada
Evangelia Kalyvianaki, University of Cambridge, UK
Hamzeh Khazaei, University of Alberta, Canada
Samuel Kounev, University of Würzburg, Germany
Anne Koziolek, Karlsruhe Institute of Technology, Germany
Diwakar Krishnamurthy, University of Calgary, Canada
Patrick P. C. Lee, The Chinese University of Hong Kong, Hong Kong
Jim Zhanwen Li, NICTA, Australia
Yan Liu, Concordia University, Canada
Catalina M. Lladó, Universitat Illes Balears, Spain
Andrea Marin, University of Venice, Italy
Stefano Marrone, Università degli Studi della Campania "Luigi
Vanvitelli", Italy
Daniel Menasce, George Mason University, USA
Ningfang Mi, Northeastern University, USA
Raffaela Mirandola, Politecnico di Milano, Italy
John Murphy, University College Dublin, Ireland
Juan F. Perez, Universidad del Rosario, Colombia
Diego Perez-Palacin, Linnaeus University, Sweden
Dorina Petriu, Carleton University, Canada
Evgenia Smirni, College of William and Mary, USA
Mark Stoodley, IBM, Canada
Nigel Thomas, Newcastle University, UK
Mirco Tribastone, IMT Institute for Advanced Studies Lucca, Italy
Catia Trubiani, Gran Sasso Science Institute, Italy
Petr Tuma, Charles University, Czech Republic
Ana Lucia Varbanescu, University of Amsterdam, The Netherlands
Enrico Vicario, University of Florence, Italy
Murray Woodside, Carleton University, Canada
Huaming Wu, Tianjin University, China
Feng Yan, University of Nevada, Reno, USA
Xiaoyun Zhu, Cloudera, USA
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ORGANIZING COMMITTEE
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
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