[ecoop-info] Call for Papers ICPE 2012 - Work in Progress/Vision track papers due January 10, 2012

[Rob Bell Jr]

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Updated submission information, apologies for any duplicate emails
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      International Conference on Performance Engineering (ICPE) 2012
                     Work in Progress and Vision Track
                      April 22-25, 2012, Boston, USA

Important dates

	Work-in-progress/vision paper submissions: January 10, 2012

Websites:
	http://www.icpe-conference.org
	http://icpe2012.ipd.kit.edu

Submission Site:
	http://icpe2012.ipd.kit.edu/submission

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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 Association for
Computing   Machinery   (ACM)   and  the  Standard  Performance  Evaluation
Corporation (SPEC). 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 management.  Topics of
interest include:

Performance and software development processes
	- Performance engineering for systems including but not limited to:
smart grids, cloud platforms, sensor nets, manufacturing and handling,
embedded systems, transportation control systems, multi-tier systems,
event-driven systems
	- Techniques to elicit and incorporate performance, availability,
power and other extra-functional requirements in the early stages of
software design
	- Performance engineering as risk mitigation for software projects
	- Agile, performance test driven, and/or model-driven performance
engineering
	- Performance engineering in Commercial-of-the-Shelf (COTS) system
development
	- Software performance patterns and anti-patterns
Performance modeling of software and systems
	- Languages and ontologies for software performance engineering
	- Specifying, interpreting and exploiting software performance
annotations and data
	- Automatic model discovery during early stages of development
	- Methods, tools, and tool interoperability
Performance measurement, and experimental analysis
	- Performance measurement, monitoring, and workload characterization
techniques
	- Test planning, tools for performance load testing, measurement,
profiling and tuning
	- Automated model extraction for functional or partially functional
systems
Performance prediction techniques for software and systems
	- Analytic, simulation, statistical, AI-based, and hybrid modeling
methods for performance prediction
	- Performance prediction for multi-socket, multi-core platforms and
virtualized systems
	- Model validation and calibration techniques
	- Relationship/integration/tradeoffs among QoS attributes
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
Run-time performance/power management/optimization
	- Use of models for run-time configuration and/or management
	- Online performance prediction and model parameter estimation
	- Autonomic /self-adaptive resource management
	- Power consumption models and management techniques
	- Tradeoffs between performance and energy efficiency

Authors  are  invited  to  submit original, unpublished papers that are not
being  considered  in  another  forum. 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 2012 conference
proceedings.   The  conference  proceedings  will  be  published by ACM and
included  in the ACM Digital Library.  Extended versions of selected papers
will  be  considered for publication in a special issue of a journal (to be
announced).

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Work-in-Progress and Vision Papers Submission track

The  goal  of the work-in-progress and vision track is two-fold: i) provide
the  opportunity  for  attendees to present and discuss preliminary results
from  their  latest  work obtaining some early feedback from the community,
ii)  provide  the  opportunity  to  present position papers on emerging hot
topics  in  the  field  of  performance engineering motivating new research
directions.  Authors of accepted papers will be given 15 minutes to present
their paper followed by a 10 minute discussion.

Work-in-progress   papers   present   promising  preliminary  results  from
work-in-progress  that  has  not  been  validated  in  full.  Although full
validation is not required, the work presented should be advanced enough as
to allow attendees to appreciate its scope and significance.

Vision  papers  present emerging research challenges and long-term research
directions on hot topics relevant to the performance engineering community.
Submissions  should  clearly  present  the  research  questions  and  their
rationale  sketching  possible  approaches to their resolution. The goal of
such papers is to motivate new research and generate debate and discussions
on the latest challenges in the field of performance engineering.

All  contributions  must  be original, not published, accepted or submitted
for   publication   elsewhere.   Accepted   papers  will  be  published  as
post-proceedings in the ACM Digital Library.

Papers   submitted   in   this   track   should  be  clearly  indicated  as
"Work-in-Progress  Paper" or "Vision Paper", respectively. Submissions must
be  in the standard ACM format for conference proceedings. Papers should be
4  pages double column or less including figures and tables. Papers must be
submitted in PDF format via the conference submission system.


                           Organizing Committee
General Chairs
David Kaeli, Northeastern University, USA
Jerry Rolia, HP Labs, USA

Program Chairs
Lizy Kurian John, UT Austin, USA
Diwakar Krishnamurthy, University of Calgary, Canada

Industrial Chair
John Henning, Oracle, USA

Tutorial Chair
Stephen Dawson, SAP Research, UK

Demos and Posters Chair
Ningfang Mi, Northeastern University, USA

Publication Chair
Pankaj Garg, ZeeSource, USA

Finance Chair
Kai Sachs, SAP, Germany

Registration Chair
Xiaoyun Zhu, VMware, USA

Publicity Chairs
Rob Bell, IBM, USA
Greg Franks, Carleton University, Canada

Awards Chairs
Rema Hariharan, AMD, USA
Virgilio Almeida, UFMG, Brazil

Web Chair
Michael Faber, KIT, USA

                             Program Committee

Martin Arlitt – HP Labs, USA
Jose Nelson Amaral – University of Alberta, Canada
Alberto Avritzer – Siemens Corporate Research, USA
Simonetta Balsamo - Università Ca' Foscari di Venezia, Italy
Giuliano Casale – Imperial College, UK
Lawrence Chung, University of Texas at Dallas, USA
Jeanine Cook – New Mexico State University, USA
Vittorio Cortellessa - Universita' dell'Aquila, Italy
Susanna Donatelli - University of Torino, Italy
Lieven Eeckhout - Ghent University, Belgium
Manoj Franklin - University of Maryland, USA
Rema Hariharan – AMD, USA
John Henning – Oracle, USA
Ravi Iyer – Intel Research, USA
Mathew Jacob – IISC, India
Carlos Juiz - Universitat de les Illes Balears, Spain
Dimitris Kaseridis - ARM, USA
Samuel Kounev – KIT, Germany
Klaus Lange – HP, USA
David Lilja, University of Minnesota, USA
Jenny Liu – PNNL, USA
Catalina Llado - Universitat de les Illes Balears, Spain
Anirbhan Mahanti – NICTA, Australia
Pat Martin- Queen’s University, Canada
Rapphaela Mirandola - Politecnico di Milano, Italy
Dorina Petriu – Carleton University, Canada
Ralf Reussner – KIT, Germany
Alma Riska – EMC, USA
Kai Sachs – SAP, Germany
Seetharami Seelam – IBM Research, USA
Anand Sivasubramanian – Penn State University, USA
Mark Squillante – IBM Research, USA
Malgorzata Steinder – IBM Research, USA
Bronis Supinski – LLNL, USA
Pat Teller – University of Texas at El Paso, USA
Mirco Tribastone – LMU, Germany
Petr Tuma – Charles University, Czech Republic
Akshat Verma – IBM Research, India
Tom Wenisch – University of Michigan, USA
Zhibin Yu – Huazhong University, China