Modius Data Center Blog

How much better can it get? Data Center Energy Efficiency

Posted by Mark Harris on Fri, Jun 04, 2010 @ 11:34 AM

I was flipping through the 2007 report to congress issued by Jonathan Koomey ("Report to Congress on Server and Data Center Energy Efficiency Public Law 109-431") and on Page 10 came across a very easy to read, but impactful diagram which provides some great insight into the future of the IT industry, and can be discussed in terms of end-users as well.

I suspect that this chart could be applied more or less to ANY individual company in their quest for energy efficiency. If there is some level of 'greening' at play in a corporation, then this chart can be a crystal ball into your 5 possible futures.

You can see from the diagram varying impacts on energy consumption, (starting at the top) going from taking NO NEW ACTION, all the way through DOING EVERYTHING POSSIBLE. I would suggest today that most companies are somewhere approaching the "Improved Operations Scenerio". If you look above, you'll see this green curve essentially takes the overhead out of operations, but does very little to have any significant long term effect on the SLOPE of the curve.

In the chart, the "State of the Art Scenerio" is a good depiction of what is POSSIBLE (expected) if all business processes are tuned and all equipment is refreshed with the latest. This would create a real-time infrastructure ("RTI" as defined by Gartner) that self-tunes itself based upon demand. Most importantly... It would also lower the most basic cost per transaction. A CPU cycle would actually cost less!

These are very exciting times ahead...

Topics: Data-Center-Best-Practices, Energy Efficiency, data center monitoring, data center analysis, data center energy monitoring, Energy-Efficiency-and-Sustainability, data center energy efficiency

Silicon Carbide Chips could Make Data Center Cooling Obsolete!

Posted by Mark Harris on Mon, May 03, 2010 @ 05:05 AM

Imagine a computer processing chip that could run at any speed, without any cooling. Imagine that this processor could be mass produced using existing technologies, and using off-the-shelf substrate materials. Well, this is not fantasy and I was reminded the other day about the work NASA has been doing for a few years...

It is true! Nasa has been demonstrating a set of chip technologies that have been able to operate at over 1000-degrees F for extended periods of time. While this is remarkable for NASA, now adjust your focal point to the usage of this technology for standard IT purposes. Cooling as we know it today would be a thing of the past. We might have cooling just for the human occupied areas, and perhaps some filtering still required, but here we'd see data centers running happily at over 100 degrees F.

http://arstechnica.com/hardware/news/2007/09/nasa-designs-new-ultra-high-temperature-chips.ars

Finally PUE of 1.00! Curious reading to be sure...

Topics: data center cooling, Data Center PUE, Cooling-Airflow, data center energy efficiency

Data Center Energy Monitoring: The 4 Most Common Approaches

Posted by Mark Harris on Thu, Apr 29, 2010 @ 05:09 AM

Understanding the power consumption of any given discrete device in the data center may be accomplished in a number of ways including measurement and modeling technologies. While many approaches have been tried over the years, today there are four main ways to determine the power being consumed.

  • Faceplate Values. Each manufacturer places a service value ‘plate’ which identifies things like model and serial numbers, manufacturer’s contact information, safety certifications and power requirements. The power requirements are usually listed as the voltage range acceptable for the included power supplies, as well as the maximum current to be drawn by any configuration and working condition of the device. For a complex device, this faceplate power consumption value is listed as the maximum possible and may be 4 or 5 times the actual power being drawn in normal operating conditions. Since this is printed information required on every device, it essentially has no additive administrative no-cost.

  • iPDU Monitoring per outlet. Newer environments have begun to deploy measured or metered power distribution devices within each rack. These iPDU have enough intelligence to allow network inquiries to be made of the iPDU itself, with the most granular of these devices offering discrete values for the power being consumed PER-OUTLET. These PER-OUTLET iPDUs make ideal sources of raw power consumption values, although they tend to be costly to do so.

  • Monitoring via operating system service. Most modern hardware telco, server and switch designs and their associated operating systems include what is known as ‘System Services’ or ‘Daemons’ which are intended to allow access to granular operating information. In most modern cases, device drivers are included in the standard software builds which enable power consumption metrics to be read from the actual power supply unit, assuming that the power supply was instrumented in hardware when the device was manufactured. In cases where this hardware instrumentation exists, there are no additive costs to gaining access to the power consumption for these devices across an IT infrastructure.

  • Modeling the device. It could be argued that a tremendous portion of the installed IT equipment that was purchased more than 3 years ago has little or no instrumentation capability in hardware. In these cases it is impossible to programmatically read power consumption metrics. Instead one approach has been to model the power consumed based upon a model of the hardware configuration of the device. Mostly for servers, it could be argued that a good approximation for a device can be calculated by knowing an inventory of components inside each device, and then the power consumption of each of those components. Coupled with some workload information and a fair assessment of consumption can be derived.
It should be noted that each and every Enterprise will likely find themselves dealing with MULTIPLE approaches (from the above list) in determining power consumption.  Some devices and configurations will lend themselves to highly granular network inquiry, while other older devices may need to be modeled to determine power.  It is these sources of power consumption that will need to be gathered, normalized and then ultimately fed into some form of higher value asset or resource management suite.

 

Topics: data center energy monitoring, data center energy efficiency, Measurements-Metrics, data center infrastructure

Latest Modius Posts

Posts by category

Subscribe via E-mail