SD3C 2017 - Third International Workshop on Sustainable Data Centres and Cloud Computing (SD3C 2017)

Data Centre (DC) energy consumption has doubled between 2000 and 2005 and grew by 50% from 2005 to 2010. On average, computing consumes 60% of total energy while cooling consumes 35%. While new technology can lead to a 40% reduction, computation and cooling typically operate without coordination or optimization. While server energy management can reduce energy use at CPU, rack, and DC level, dynamic computation scheduling is not integrated with sensing and cooling. DC cooling typically operates at constant cold air temperature to protect the hottest server racks while local fans distribute the temperature across racks. However, these local server controls are not integrated with room cooling systems so it is not possible to optimize chiller, air fans and server fans as a system. The integration of renewable energy sources (RES) 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 SD3C 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 sustainable data centre management and cloud computing include, but are not limited to, the following:
Mobile Edge Computing (MEC)
System-level optimization, cross-layer coordination
Data centres for 5G networks
Cloud and fog computing management
Load and resource modeling, management
Virtualisation
Energy and performance profiling, accounting, metrics, benchmarks, interfaces
Scheduling, run-time adaptation, feedback control
Processor, network, storage, hardware components and architecture
Principles of power management & renewable energy Integration
Performance, energy and other resource tradeoffs
Reliability and power management, energy complexity
Adaptive configuration and data
Compiler optimization, application placement strategies in storage arrays
Papers on algorithmic topics such as: Online Stochastic Optimisation; Machine Learning and Data Mining; Optimal Stopping Theory for Online Decision-making; Game Theory and Incentive Compatible Mechanism Design; Artificial Intelligence, etc. applied to challenges in the area are also within scope. In addition, papers proposing Key Performance Indicators (KPI) for energy efficiency are also welcome.