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Cloud computing has become a critical infrastructure for modern society, likeelectric power grids and roads. As the backbone of the modern economy, itoffers subscription-based computing services anytime, anywhere, on apay-as-you-go basis. Its use is growing exponentially with the continueddevelopment of new classes of applications driven by a huge number of emergingnetworked devices. However, the success of Cloud computing has created a newglobal energy challenge, as it comes at the cost of vast energy usage.Currently, data centres hosting Cloud services world-wide consume more energythan most countries. Globally, by 2025, they are projected to consume 20% ofglobal electricity and emit up to 5.5% of the world's carbon emissions. Inaddition, a significant part of the energy consumed is transformed into heatwhich leads to operational problems, including a reduction in systemreliability and the life expectancy of devices, and escalation in coolingrequirements. Therefore, for future generations of Cloud computing to addressthe environmental and operational consequences of such significant energyusage, they must become energy-efficient and environmentally sustainable whilecontinuing to deliver high-quality services.  In this paper, we propose a vision for learning-centric approach for theintegrated management of new generation Cloud computing environments to reducetheir energy consumption and carbon footprint while delivering service qualityguarantees. In this paper, we identify the dimensions and key issues ofintegrated resource management and our envisioned approaches to address them.We present a conceptual architecture for energy-efficient new generation Cloudsand early results on the integrated management of resources and workloads thatevidence its potential benefits towards energy efficiency and sustainability.

Energy-Efficiency and Sustainability in New Generation Cloud Computing:  A Vision and Directions for Integrated Management of Data Centre Resources  and Workloads