Call for Papers: ICPE 2013

Submitted by Kai Sachs
April 21 to April 24, 2013

Submitted by Kai Sachs

ICPE 2013
4th ACM/SPEC International Conference on Performance Engineering

Prague, Czech Republic, April 21-24, 2013

A Joint Meeting of WOSP/SIPEW sponsored by
ACM SIGMETRICS and ACM SIGSOFT in Cooperation with SPEC.


Research Papers Extended to 5th October 2012
Industrial / Experience Papers 23 October 2012
Poster and Demo Papers 13 November 2012
Tutorial Proposals 10 November 2012
Work-in-Progress and Vision Papers 14 January 2013


The goal of the International Conference on Performance Engineering (ICPE)
is to integrate theory and practice in the field of performance engineering
by providing a forum for sharing ideas and experiences between industry
and academia. ICPE is established as a joint meeting of the ACM Workshop
on Software and Performance (WOSP) and the SPEC International Performance
Evaluation Workshop (SIPEW). The conference brings together researchers
and industry practitioners to share and present their experiences, discuss
challenges, and 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

Topics of interest include, but are not limited to:

Performance and software development processes
* Techniques to elicit and incorporate performance, availability,
power and other extra-functional requirements throughout
the software and system lifecycle
* Agile, performance-test-driven development
* Performance engineering in Commercial-of-the-Shelf (COTS)
system, Service-Oriented Architectures (SOA), web-based
systems and services, smart systems, automated control systems,
transport systems, embedded, real-time, and mobile systems
* Performance-requirement reengineering and design for software
performance predictability
* Software performance modeling, patterns and anti-patterns

Performance modeling and prediction
* Languages, annotations, tools and methodologies to support
model-based performance engineering
* Analytical, simulation, statistical, AI-based, and hybrid modeling/
prediction methods
* Automated model discovery and model building
* Model validation and calibration techniques

Performance measurement, and experimental analysis
* Performance measurement, monitoring, and workload characterization
* Test planning, tools for performance, load testing, measurement,
profiling and tuning
* Automated model extraction for functional or partially functional
* Methodologies for performance testing and for functional testing
* Reproduction and reproducibility of performance studies

Benchmarking, configuration, sizing, and capacity planning
* Benchmark design and benchmarking methods, metrics, and suites
* Development of new, configurable, and/or scalable benchmarks
* Use of benchmarks in industry and academia
* System configuration, sizing and capacity planning techniques

System management/optimization
* Use of models for run-time configuration/management
* Online performance prediction and model parameter estimation
* Adaptive resource management

Performance in Cloud, Virtualized and multi-core systems
* Modeling, monitoring, and testing of cloud computing platforms
and applications
* Performance/management of virtualized machines, storage and networks
* Performance engineering of multi-core and parallel systems

Performance and Power
* Algorithms for combined power and performance management
* Instrumentation, profiling, modeling and measurement of power consumption
* Power/performance engineering in
grid/cluster/cloud/mobile computing systems

Performance modeling and evaluation in other domains such as:
* Web-based systems, e-business, web services, SOAs
* Transaction-oriented and event-based systems
* Embedded and autonomous systems
* Real-time and multimedia systems
* Peer-to-peer, mobile and wireless systems

Authors are invited to submit original, unpublished papers that are not
being considered in another forum. A variety of contribution styles for
papers are solicited including: basic and applied research, industrial
experience reports, and work-in-progress/vision papers. Different
acceptance criteria apply for each category, please refer to the website
for details. At least one author of each accepted paper is required to
attend the conference and present the paper. Only the accepted and
presented papers will be published in the ICPE 2013 conference
proceedings that will be published by ACM and included in the
ACM Digital Library.


Papers will be thoroughly reviewed for novelty, technical quality, scientific
soundness and relevance.
Research track submissions should be clearly indicated
in the text either as “Full Research Paper” or “Short Research Paper”.
Submissions must be in the standard ACM format for conference proceedings
Full research papers should not exceed 12 pages double column
including figures and tables; short research papers
are limited to 6 pages. Industrial/Experience papers are
limited to 8 pages double column including figures and tables.
Work-in-Progress and Vision papers should not exceed
4 pages double column including figures and tables. Research track
papers, Industry and Experience papers and Work-in-Progress and
Vision papers should be submitted via EasyChair. Tutorial proposals and
Poster and Demonstration submissions must not exceed 2 pages
and should be sent directly to the relevant chair. Detailed submission
instructions are available on the conference website.


Petr Tuma, Charles University, Czech Republic
Giuliano Casale, Imperial College London, UK

J. Nelson Amaral, University of Alberta, Canada
Tony Field, Imperial College London, UK

Seetharami R. Seelam, IBM Research, USA

Mirco Tribastone, Ludwig-Maximilians University of Munich, Germany

Kaustubh Joshi, AT&T Labs Research, USA

Evgenia Smirni, College of William and Mary, USA

Lubomir Bulej, Charles University, Czech Republic

John Murphy, University College Dublin, Ireland
Kai Sachs, SAP Research, Germany

Lucy Cherkasova, HP Labs, USA
Vittorio Cortellessa, Universita’ dell’Aquila, Italy

Research Track

Martin Arlitt, HP Labs, USA, and University of Calgary, Canada
Alberto Avritzer, Siemens Corporate Research, USA
Steffen Becker, University of Paderborn, Germany
Anne Benoit, ENS Lyon – LIP, France
Steve Blackburn, ANU, Australia
Andre Bondi, Siemens Corporate Research, USA
Edson Borin, Universidade de Campinas, Brazil
Jeremy Bradley, Imperial College London, UK
Lydia Chen, IBM Zurich, Switzerland
Lucy Cherkasova, Hewlett-Packard Laboratories, USA
Lawrence Chung, University of Texas at Dallas, USA
Susanna Donatelli, Universita’ di Torino, Italy
Sandhya Dwarkadas, University of Rochester, USA
Dick Epema, Delft University of Technology, Netherlands
Dror Feitelson, Hebrew University, Israel
Sebastian Fischmeister, University of Waterloo, Canada
Stephen Gilmore, University of Edinburgh, UK
Lars Grunske, TU Kaiserslautern, Germany
Wilhelm Hasselbring, University of Kiel, Germany
Michael Hind, IBM T.J. Watson Research Center, USA
Robert Hundt, Google Inc., USA
Alexandru Iosup, TU Delft, The Netherlands
Stephen Jarvis, University of Warwick, UK
Carlos Juiz, University of the Balearic Islands, Spain
David Kaeli, Northeastern University, USA
William Knottenbelt, Imperial College London, UK
Samuel Kounev, Karlsruhe Institute of Technology, Germany
Heiko Koziolek, ABB Corporate Research, Germany
Anirban Mahanti, NICTA, Australia
Pat Martin, Queen’s University, Canada
Daniel Menasce, George Mason University, USA
Raffaela Mirandola, Politecnico di Milano, Italy
David Pearce, Victoria University of Wellington, N. Zealand
Dorina Petriu, Carleton University, Canada
Meikel Poess, Oracle Corporation, USA
Lawrence Rauchwerger, Texas A&M University, USA
Ralf Reussner, Karlsruhe Institute of Technology, Germany
George Riley, Georgia Institute of Technology, USA
Alma Riska, EMC, USA
Jerry Rolia, HP Labs, USA
Peter Sweeney, IBM T.J. Watson Research Center, USA
Mirco Tribastone, Ludwig-Maximilians University of Munich, Germany
Catia Trubiani, Universita’ dell’Aquila, Italy
Carey Williamson, University of Calgary, Canada
Murray Woodside, Carleton University, Canada
Peng Wu, IBM T. J. Watson Research Center, USA
Xiaoyun Zhu, VMware, USA

Industrial Track
Walter Bays, Oracle Corporation, USA
Andrew Bond, Red Hat, USA
Winnie Cheng, American Express, USA
Pankaj K. Garg, ZeeSource, USA
Klaus-Dieter Lange, HP, USA
Elmoustapha Ould-Ahmed-Vall, Intel, USA
Meikel Poess, Oracle Corporation, USA
Kai Sachs, SAP AG, Germany
Connie U. Smith, Performance Engineering Services, USA
Ian Whalley, Google, USA