SD3C 2016 - International Workshop on Sustainable Data Centres and Cloud Computing (SD3C'16)

International Workshop on Sustainable Data Centres and Cloud Computing (SD3C'16)
Shanghai, China, December 6-9, 2016
http://www.zurich.ibm.com/sd3c
held in conjunction with UCC 2016:
9th IEEE/ACM International Conference on Utility and Cloud Computing
http://computing.derby.ac.uk/ucc2016
Data centre energy consumption doubled between 2000 and 2005 and grew by 50%
from 2005 to 2010. On average, computing consumes 60% of the total energy,
whereas cooling consumes 35%. Although new technologies can lead to a 40%
reduction, computation and cooling typically operate without coordination or
optimisation. Server energy management can reduce energy consumption at the
CPU, rack, and DC levels, but dynamic computation scheduling is not integrated
with sensing and cooling. Data centre cooling typically operates at a constant
cold air temperature to protect the hottest server racks while local fans
distribute the temperature across the racks. However, these local server
controls are not integrated with room cooling systems, so it is not possible to
optimise chiller, air fans and server fans as a system. The integration of
renewable energy sources has received limited interest from the DC community
due to lack of interoperability of generation, storage and heat recovery and
installation and maintenance cost versus payback. The adoption of new
technologies related to computing, cooling, generation, energy storage, and
waste heat recovery individually requires sophisticated controls, but no single
manufacturer provides a complete system so integration between control systems
does not exist.
The objective of this workshop is to bring together researchers and
technologists from academia and industry to explore the topic of sustainability
of data centre and cloud computing, particularly from an energy perspective.
Topics of interest related to data centre management and cloud computing
include, but are not limited to, the following:
Topics of Interest
===
Topics of interest related to data centre management and cloud computing
include, but are not limited to, the following:
- Mobile Edge Computing (MEC)
- Data centres for 5G networks
- Cloud and fog computing management
- Virtualisation
- Energy and performance profiling, accounting
- Metrics, benchmarks, interfaces
- Principles of power management
- Performance, energy and other resource trade-offs, energy complexity
- Compiler optimization, application design
- System-level optimization, cross-layer coordination
- Load and resource modeling, management
- Scheduling, run-time adaptation, feedback control
- Processor, network, storage, hardware components and architecture
- Reliability and power management
- Adaptive configuration and data placement strategies in storage arrays
Papers on algorithmic topics applied to challenges in the area are also within
scope:
- Online Stochastic Optimisation
- Machine Learning and Data Mining
- Optimal Stopping
- Theory for Online Decision-making
- Game Theory and Incentive Compatible Mechanism Design
- Artificial Intelligence
Important Dates
===
Paper submission: July 23, 2016
Notification of acceptance: Septembre 7, 2016
Final manuscript due: Septembre 21, 2016
Submission Guidelines
===
Manuscripts must be limited to 6 pages in IEEE 8.5"×11" double-column format.
Accepted papers will be submitted to IEEE to be published in the same volume as
the main conference. Submitted papers may not have been previously published
in or under consideration for publication in another journal or conference.
One full registration (non-student, non-workshop) at UCC 2016 is necessary for
all accepted papers and each accepted paper must be presented by one of the
authors. Papers without a registration and/or not presented at the workshop
will not be published.
Manuscripts should be submitted via:
https://easychair.org/conferences/?conf=sd3c16
Organizers
===
Robert Birke, IBM Research - Zurich Laboratory, Switzerland
bir-AT-zurich[dot]ibm[dot]com
Luca Chiaraviglio, CNIT, Italy
luca[dot]chiaraviglio-AT-cnit[dot]it
Barry O’Sullivan, Insight Centre for Data Analytics, University College
Cork, Ireland
barry[dot]osullivan-AT-insight-centre[dot]org
Program Committee
===
Marco Beccuti, Università di Torino, Italy
Roberto Bruschi, CNIT, Italy
Ton Engbersen, IBM Research - Zurich, Switzerland
Paolo Giaccone, Politecnico di Torino, Italy
Marco Gribaudo, Politecnico di Milano, Italy
Diarmuid Grimes, Insight Centre, Ireland
Stefano Gualandi, AntOptima SA, Italy
Jairo Gutierrez, Auckland University of Technology, New Zealand
Esa Hyytiä, University of Iceland, Iceland
Deepak Mehta, United Technologies Research Center, Ireland
Shaolei Ren, University of California Riverside, USA
Fabrice Roudet, Eaton, Switzerland
Bhuvan Urgaonkar, Penn State University, USA