Workshop on energy-aware scheduling in distributed computing platforms

Current large scale IT systems are becoming pervasive. Data centers are used from web searches to protein analysis. Energy consumption of these systems is part of the fastest growing of the energy consumption systems. As an example, worldwide cloud computing systems’ consumption fits between the electricity consumption of Germany and Russia and would rank 6th as a country. With the rise of smart cities, and the connexion of all objects from fridges to heaters, IT systems energy consumption will rise even faster. With the rise of high level services, from Internet of Things, to HPC systems passing through Cloud systems, more and more possibilities are offered and the quality of the decision systems have a large impact on their energy consumption. Consuming such quantities of energy produces a lot of heat. Thermal-aware management aims to improve power consumption efficiency by coordinating resource management and thermal based decisions.