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SD3C 2016 : International Workshop on Sustainable Data Centres and Cloud Computing | |||||||||||||||
Link: http://www.zurich.ibm.com/sd3c/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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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 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 (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: https://easychair.org/conferences/?conf=sd3c16 Organizers ========== Robert Birke, IBM Research - Zurich Laboratory, Switzerland bir[at]zurich[dot]ibm[dot]com Luca Chiaraviglio, University of Rome Sapienza, Italy luca[dot]chiaraviglio[at]uniroma1[dot]it Barry O’Sullivan, Insight Centre for Data Analytics, University College Cork, Ireland barry[dot]osullivan[at]insight-centre[dot]org |
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