In the race for the title of the world’s greenest data center a lot of perhaps overly optimistic PUE claims have been made. Power usage effectiveness (PUE) is a measure of how efficiently a computer data center uses its power. While it is a step in the right direction it still fails to capture the complete picture of the data center’s energy and resource efficiency. It goes on to point out ten areas that are not being captured; some of which have significant implications.
In this post Julius discusses some of the innovations that are cropping up in forward thinking data center design ranging from the adoption of Yahoo’s chicken coop architecture that is suited for utilizing ambient air cooling; new server designs optimized for hot aisle/cold aisle architecture; and innovative approaches to power supply. While most operators do not have the deep pockets and resources of players like Facebook, Google, Yahoo or Amazon — all mentioned in this post — the kinds of forward thinking innovations being pioneered by these companies are bound to have a wider impact.
Redwood Systems has launched a network-based LED lighting technology for commercial buildings. It optimizes energy-efficiency for commercial lighting and provides comprehensive sensor data for building performance.
This is an article devoted to the idea that a revolution in software design is needed in order to produce software –or as insiders often refer to it: the code – that is both greener itself and that is designed to help other systems and products become greener… i.e. more energy and resource efficient, less wasteful, more adaptive to current conditions.
There are two often intertwined paths to follow, both of which are important for this discussion. Code itself needs to become greener; using virtual resources more efficiently and thus using fewer hardware resources and less power to accomplish the same computing tasks. Code should also be designed with a feature set that enables other products, running the code, to use less energy and to be able to time shift their energy requirements to off peak periods.
