[AISWorld] ICPE 2016: Joint Call for Workshop Papers
Alexander Wert
alexander.wert at novatec-gmbh.de
Sun Nov 1 23:58:48 EST 2015
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JOINT CALL FOR WORKSHOP PAPERS
ICPE 2016
7th ACM/SPEC International Conference on Performance Engineering
A Joint Meeting of WOSP/SIPEW sponsored by ACM SIGMETRICS, SIGSOFT,
and SPEC
Delft, The Netherlands
12-18 March 2016
http://icpe2016.spec.org
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WORKSHOPS
The following workshops are organized in conjunction with ICPE 2016:
- 5th International Workshop on Large-Scale Testing (LT 2016)
- 2nd International Workshop on Performance Analysis of Big data
Systems (PABS 2016)
- 2nd Workshop on Challenges in Performance Methods for Software
Development (WOSP-C 2016)
A brief overview of all workshops is given below. For more information,
visit the conference website at
https://icpe2016.spec.org/conference-workshops.html
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5TH INTERNATIONAL WORKSHOP ON LARGE-SCALE TESTING (LT 2016)
ABSTRACT
Many large-scale software systems (e.g., e-commerce websites,
telecommunication infrastructures, enterprise systems, etc.) must
service hundreds, thousands or even millions of concurrent requests.
Many field problems of these systems originate in their inability to
scale to field workloads, rather than feature bugs. In addition to
conventional functional testing, these systems must be tested with large
volumes of concurrent requests (called the load) to ensure the quality
of these systems. Large-scale testing includes all different objectives
and strategies of testing large-scale software systems using load.
Examples of large-scale testing are live upgrade testing, load testing,
high availability testing, operational profile testing, performance
testing, reliability testing, stability testing and stress testing.
Large-scale testing is a difficult task requiring a great understanding
of the system under test. Practitioners face many challenges such as
tooling (choosing and implementing the testing tools), environments
(software and hardware setup) and time (limited time to design, test,
and analyze). Yet, little research is done in the software engineering
domain concerning this topic. Moreover, prior large-scale testing
research is largely focused on telecommunication applications and
web-based e-commerce systems. Industry is focused primarily on creating
tools to automatically drive specified load into the system under test
(e.g., LoadRunner or Apache JMeter). In this workshop, we intend to
bring together industrial practitioners and researchers to establish and
grow an academic research community around this important and practical
research topic. Especially as large-scale testing is gaining more
importance, due to an increasing number of systems (on-premise and/or
cloud-based systems) that need to serve thousands or millions of users.
WORKSHOP WEB SITE INCLUDING A DETAILED CALL FOR PAPERS
http://lt2016.eecs.yorku.ca
IMPORTANT DATES
Intent to submit 16 November 2015
Submit by: 23 November 2015
Notification to authors: 4 December 2015
Camera-ready copy: 8 December 2015
Presentation track: 1 February 2016
Talk notifications: 8 February 2016
Workshop date: 12 March 2016
SUBMISSION
We solicit the following two tracks of submissions: technical papers
(maximum 4 pages) and presentation track for industry or experience
talks (maximum 700 words extended abstract). Technical papers should
follow the standard ACM SIG proceedings format and need to be submitted
electronically via EasyChair. Short abstracts for the presentation track
need to be submitted as "abstract only" submissions via EasyChair.
ORGANIZERS
Christian Vögele, fortiss GmbH, Germany
Zhen Ming (Jack) Jiang, York University, Canada
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2ND INTERNATIONAL WORKSHOP ON PERFORMANCE ANALYSIS OF BIG DATA SYSTEMS
(PABS 2016)
ABSTRACT
Today, big data systems deal with volume, velocity, variety and veracity
of the application data which may be deployed on dedicated single high
performance systems (such as Netezza), dedicated commodity based
clusters or shared architectures such as clouds. We witness an explosive
growth in the complexity, diversity, number of deployments and
capabilities of big data processing systems such as Map-Reduce, Hbase,
Hive, Cassandra, Big Table, Hyracks, Dryad, Pregel and Mongo DB. The big
data system may use new operating system designs, advanced data
processing algorithms, parallelization of application, high performance
computing architectures such as GPUs etc. and clusters to improve the
performance. Looking at the volume of data to mine, and complex
architectures, one may need to monitor, analyze, identify or predict
bottlenecks to optimize the system and improve its performance.
The workshop on performance analysis of big data systems (PABS) aims at
providing a platform for scientific researchers, academicians and
practitioners to discuss techniques, models, benchmarks, tools and
experiences while dealing with performance issues in big data systems.
The primary objective is to discuss performance bottlenecks and
improvements during big data analysis using different paradigms,
architectures and technologies such as Map-Reduce, Hbase, MPP, Big
Table, NOSQL, graph based models and any other new upcoming paradigms.
We propose to use this platform as an opportunity to discuss systems,
architectures, tools, and optimization algorithms that are parallel in
nature and hence make use of advancements to improve the system
performance. This workshop shall focus on the performance challenges
imposed by big data systems and on the different state-of-the-art
solutions proposed to overcome these challenges.
WORKSHOP WEB SITE INCLUDING A DETAILED CALL FOR PAPERS
http://ripsac.web2labs.net/pabs
IMPORTANT DATES
Submit by: 25 November 2015
Notification to authors: 8 December 2015
Camera-ready copy: 10 December 2015
Workshop date: 12 March 2016
SUBMISSION
Submissions describing original, unpublished recent results related to
the workshop theme, up to 6 pages in standard ACM format can be submitted
through the EasyChair conference system.
ORGANIZERS
Rekha Singhal, Performance Engineering Research Centre, TCS Innovations
Lab, India
Dheeraj Chahal, Performance Engineering Research Centre, TCS
Innovations Lab, India
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2ND WORKSHOP ON CHALLENGES IN PERFORMANCE METHODS FOR SOFTWARE
DEVELOPMENT (WOSP-C 2016)
ABSTRACT
There are new challenges to product performance due to changes in
software and in the development process. Faster development means less
time for performance planning. The need for scalability and adaptability
increases the pressure while introducing new sources of delay in the use
of middleware. Model-driven engineering, component engineering and
software development tools offer opportunities, but their exploitation
requires effort and carries risks.
This second edition of WOSP-C will explore the challenges and seek to
identify the most promising lines of attack on them, through a
combination of research and experience papers, vision papers describing
new initiatives and ideas, and discussion sessions. Papers describing
new projects and approaches are particularly welcome. As implied by the
title, the workshop focus is on methods usable anywhere across the life
cycle, from requirements to design, testing and evolution of the
product. The discussions will attempt to map the future of the field.
This workshop repeats some aspects of WOSP98, the initial Workshop on
Software and Performance, which successfully identified the issues of
that time. The acronym WOSP-C reflects this. There will be sessions
which combine papers on research/experience/vision papers with
substantial discussion on issues raised by the papers or the attendees.
About a third of the time will be devoted to discussion on identifying
the key problems and the most fruitful lines of future research.
WORKSHOP WEB SITE INCLUDING A DETAILED CALL FOR PAPERS
http://wosp-c.ipd.kit.edu
IMPORTANT DATES
Submit by: 20 November 2015
Notification to authors: 1 December 2015
Camera-ready copy: 8 December 2015
Workshop date: 12 or 13 March 2016
SUBMISSION
6-page papers in ACM format, describing research results, experience,
visions or new initiatives may be submitted via EasyChair.
ORGANIZERS
Anne Koziolek (Chair), Davide Arcelli, Alberto Avritzer, Andre Bondi,
Steffen Becker, Raffaela Mirandola, Murray Woodside.
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