ENERGY-SIM 2018 - The Fourth International Workshop on Energy-aware Simulation and Modelling

The energy impact of IT infrastructures is a significant resource issue for many organisations. The Natural Resources Defence Council estimates that US data centers alone consumed 91 billion kilowatt-hours of electrical energy in 2013 – enough to power the households of New York twice-over – and this is estimated to grow to 139 billion kilowatt-hours by 2020. However, this is an underestimation as this figure fails to take into account other countries and all other computer usage. There are calls for reducing computer energy consumption to bring it in line with the amount of work being performed – so-called energy proportional computing. In order to achieve this we need to understand both where the energy is being consumed within a system and how modifications to such systems will affect the functionality (such as QoS) and the energy consumption. Monitoring and changing a live system is often not a practical solution. There are cost implications in doing so, and it normally requires significant time in order to fully ascertain the long-term trends. There is also the risk that any changes could lead to detrimental impacts, either in terms of the functionality of the system or in the energy consumed. This can lead to a situation where it is considered too risky to perform anything other than the most minor tweaks to a system. The use of modelling and simulation provides an alternative approach to evaluating where energy is being consumed, and assessing the impact of changes to the system. It also offers the potential for much faster turn-around and feedback, along with the ability to evaluate the impact of many different options simultaneously.
ENERGY-SIM 2018 seeks original work that is focused on addressing new research and development challenges, developing new techniques, and providing case studies, related to energy-aware simulation and modelling.
Specific topics of interest to ENERGY-SIM 2018 include, but are not limited to, the following:
Simulation/Modelling for energy reduction
Estimation of energy consumption
Evaluation of techniques to reduce consumption
Simulation/Modelling for smart-grids
Simulation/Modelling of micro- and macro-level energy generation and supply
Simulation/Modelling of smart-grid deployments
Simulation/Modelling of energy in computer systems
Data centre simulation/modelling
Individual component simulation/modelling
Multi-scale system simulation/modelling
Simulation/Modelling for energy in the Internet of Things
Simulation/Modelling of Internet of Things systems including battery operated systems
Simulation/Modelling of energy scavenging approaches
Performance and validation of energy-aware simulations and modelling
Benchmarking and analytical results
Empirical studies
Theoretical foundations of energy-aware simulation/modelling
Theoretical models for energy-aware simulation/modelling
Energy-aware simulation/modelling packages and tools
Energy-aware simulation/modelling packages under development from the community