DEEP-SaM - Energy-Efficient Provisioning Policies for Computing Environments
GECON '09 Proceedings of the 6th International Workshop on Grid Economics and Business Models
Uncovering energy-efficiency opportunities in data centers
IBM Journal of Research and Development
Low-energy automated scheduling of computing resources
Proceedings of the 1st ACM/IEEE workshop on Autonomic computing in economics
STACEE: enhancing storage clouds using edge devices
Proceedings of the 1st ACM/IEEE workshop on Autonomic computing in economics
Hotspot diagnosis on logical level
Proceedings of the 7th International Conference on Network and Services Management
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In this paper we discuss a novel sensing and measurement technology which allows visualizing the 3D temperature and heat distributions in a data center or other complex thermal system. Specifically, we leverage the high spatial resolution of IBM's Mobile Measurement Technology (MMT). We show that substantially improvements in energy efficiency can be obtained by the MMT method.