The increasing amount of energy consumption of today’s IT solutions significantly contributes to green house gas emissions. “Green Computing” or “Green IT” emphasizes the need for reducing the environmental impacts of IT solutions by reducing their energy consumption and, consequently, their green house gas emissions. Among others, green computing can be achieved in software and by software. While greening by software aims at saving energy (or other resources) by the help of software, greening in software aims at reducing the environmental impact caused by the software itself. The GIBSE workshop aims to bring together academic and industrial researchers to share their experience in achieving the green-ness in and by software.
Call for Papers
The submissions are encouraged in, but not limited to, the following topics:
- Green-ness in software engineering:
- Methods and techniques to elicit and model green-ness requirements
- Methods and techniques to identify and analyze the trade-offs among the green-ness requirements themselves and other quality attributes
- Methods and techniques to model and analyze the green-ness attributes of software architecture and their trade-offs
- Dedicated programming infrastructures, component models, compilers, and linguistic constructs to achieve green-ness in the implementations
- Methods and techniques to represent green-ness requirements in test scenarios
- Method and techniques to test the green-ness of software
- Crosscutting nature of green-ness attributes and the aspect-oriented techniques to cope with it
- Green-ness by software engineering:
- Design of self-energy-adaptive system architectures
- Estimating and measuring the energy-consumption of system at design and runtime
- Design and run-time energy models for self-energy-adaptive system
- Multi-objective optimization of energy and other quality attributes
The workshop participants will be selected based on their experience and ideas
related to this new and emerging field. You are invited to apply for
attendance by sending a full-paper (5 pages), work-in-progress paper (3 pages),
tool demonstration paper (3 pages) or a position paper (3 pages) in PDF.
The paper must conform to the
ACM SIGPLAN formatting guidelines.
Submissions will be reviewed by at least 3 PC members. The authors will be
notified about acceptance before the AOSD 2014 early registration deadline. A
primary deliverable of the workshop is a report that clearly outlines (1) the
research issues and challenges in terms of specific research problems in the
area, and (2) a synopsis of existing solutions that target some well-defined
aspect of greenness in or by software. Potential attendees are strongly
encouraged to submit position papers that clearly identify research issues and
challenges, present techniques that address well-defined problems in the area,
and are supported by small demos.
Submissions can be made through the submission page on EasyChair.
With this workshop, we intend to raise the interest in the topic and bring together junior and senior researchers working in this field. It is our intention to receive submissions from researchers new to the field as well as experienced researchers and practitioners. For the former, we want to offer a platform for discussing their ideas and receiving feedback on them. This will be supported by question and answer sessions as well as by group discussions. The planned workshop agenda interleaves presentations of accepted papers, lightning talks about green computing by participants without accepted papers, and discussions. To stimulate participants we intend to invite at least one expert in the field for a keynote talk.
- Paper Submission deadline: January 26, 2013
- Notification of acceptance: February 16, 2014
- Camera-ready copies of accepted papers: February 24, 2014
- Somayeh Malakuti (Technical University of Dresden)
- Christoph Bockisch (University of Twente)
- Uwe Assmann (Technical University of Dresden)
- Sebastian Götz (Technical University of Dresden)
- Steven te Brinke (University of Twente)
- Birgit Penzenstadler (Donald Bren School of Information and Computer Science, University of California, Irvine)
Contact: Somayeh Malakuti (somayeh.malakuti AT tu-dresden.de)