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SD3C 2016 : International Workshop on Sustainable Data Centres and Cloud Computing


When Dec 6, 2016 - Dec 9, 2016
Where Shanghai, Cina
Submission Deadline Aug 7, 2016
Notification Due Sep 7, 2016
Final Version Due Sep 21, 2016
Categories    sustainability   energy   datacenter

Call For Papers


Call for Papers - Submission Due Date (extended): August 7, 2016

International Workshop on Sustainable Data Centres and Cloud Computing (SD3C'16)
Shanghai, China, December 6-9, 2016

held in conjunction with UCC 2016:

9th IEEE/ACM International Conference on Utility and Cloud Computing

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
- 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 (extended): August 7, 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:


Robert Birke, IBM Research - Zurich Laboratory, Switzerland

Luca Chiaraviglio, University of Rome Sapienza, Italy

Barry O’Sullivan, Insight Centre for Data Analytics, University College
Cork, Ireland

Related Resources

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SI: Cloud-Big Data (SIMPAT) 2018   Special Issue on Modeling and Simulation of Cloud Computing and Big Data, Simulation Modelling Practice and Theory, Elsevier
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