[Storage-research-list] [Icpe] ACM/SPEC ICPE 2019: Call for Contributions - Work-in-Progress, Poster, Demo, Tutorials Deadlines approaching

[Ana Lucia Varbanescu]

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                           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 at 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