Big Data. Big Decisions
InformationWeek
Special Coverage Series


How To Build A Modern Data Center

The Toaster Problem

(Page 2 of 2)

<
Analytics Slideshow: 2010 Data Center Operational Trends Report
(click for larger image and for full slideshow)
A site's power distribution features are not something that just any company can go back and revise to save energy. They have to be built into the original design. Vantage's Walsh Avenue campus is supplied with electricity through an on-site, 50-megawatt substation with two transformers. The substation sits on a "self-healing" transmission ring with other substations located on it. The Vantage substation could malfunction and the other substations would still ensure that the site got power it needed, he said.

Most enterprise data centers lack a 50-megawatt substation nearby. In one case, an Internet entrepreneur related how his servers went down at his co-location facility because the site was strapped for power and couldn't get more. All seemed fine until a co-lo employee to the nearby lunchroom one day, pushed down the toaster button, and the data center went dark.

Trout said that's why most data centers never tap more than 80% of the power being made available to them. They want a buffer, a margin of error, in case of an unanticipated toaster event. At the Vantage site, however, the "robust design" calls for the substation to deliver the power needed without a buffer. Trout said the data center is "using 1.0 of the electricity it brings in the building, instead of .8."

In addition, the power is stepped down from transmission line voltage at the substation to 480 volts as it's carried to different sections of the data center, instead of the 220 or 110 that would be more typical. Facebook did the same thing, Trout said, delivering 480 volts close to the servers because the technique results in less transmission line power loss. Under normal circumstances, the delivery of the power consumes a percentage of the resource due to resistance in the line. The higher the voltage, however, the less the loss. Voltage isn't literally a measure of an amount of electricity so much as an indication of the pressure behind it.

Once it's close to the server racks, it's stepped down to 12 volts and passes through a Vantage innovation, an insulated gate bipolar transistor (IGBT) unit. It's unusual to use a IGBT at this stage because it's actually a specialized semi-conductor that can allow alternating current to pass through it. If the AC power disappears, it allows a direct current supplied by batteries to instantly replace the loss.

The IGBT device acts as the key component of the Vantage data center's uninterruptible power supply. It both conveys normal AC current and can convert direct battery current, DC, into instant replacement alternating current. It has to perform this function in case of a power outage for only for 5-8 minutes, the amount of time the batteries can sustain the data center load, but that's enough to get the backup generators fired up and running, Trout said.

Neither Facebook nor Google use the IGBT approach, to the best of his knowledge. Each data center use some form of uninterruptible power supply and typically transmits 88% to 90% of the electricity coming into the data center through it. It's necessary for the UPS to sip power from the normal supply to insure that its batteries are fully charged. The Vantage IGBT approach gets 96% of the power coming through the UPS, he said.

Although Vantage is trying to use all the power coming onto its premises, it has through its design the ability to get more power from the substation. Trout called it "2n redundancies all the way to the server" or twice the amount of power needed can be delivered by the system. If one transformer in the substation dies, for example, the surviving transformer can still deliver all the power needed.

Likewise, if smaller transformers die in the step-down process, other transformers kick in to keep the servers running. It's a deliver just-in-time strategy, instead of keep (and waste) a power reserve.

The building of this distribution into Vantage's first whole sale data center on its campus, completed in mid-February, will be used again in the second phase now underway and a third still to come. Trout said the big step energy savings are occurring now, with examples like Amazon.com and Microsoft, as well as Google and Facebook, paving the way.

There will be more to come, but the art of data center design has finally gotten around to addressing its major sources of wasted power. "We may move one day from 1.07 to 1.06 or even 1.05," he said. But there will be no more announcements of 38% power savings in a new data center versus the one that came before it, he said. Today is the time for dramatic gains. Tomorrow's gains will come much harder.

« Previous Page | 1 2  


Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.