Review - Sustainable Design: A Critical Guide

I have a copy of the Sustainable Design: A Critical Guide.

The book is new and has two 5-star reviews so far an amazon.com.

Sustainable Design: A Critical Guide [Paperback]

David Bergman (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)  Like(5)

To me the ultimate test was what the author says about LEED.  

Is he being critical of LEED?  Yes.

But it has been criticized for devolving into more of a game in which racking up the most points sometimes takes precedence over producing the greenest building.

The author does a good job of listing some other issues with LEED and makes a final point.

Another criticism of LEED is that the certification process can be very expensive and time consuming.

The author looks at many of the issues with a critics eye on what to do and why.

If you are looking for a guide to greener/sustainable design, this book is worth checking out.

 

The Real Data Center, lessons from The Real CSI, How reliable is the science behind forensics

PBS Frontline has a video on The Real CSI.

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Watch The Real CSI on PBS. See more from FRONTLINE.

Watching this video brings into questions of science behind fingerprints, blood tests and bite marks.

The one method that has trumped a bunch of these techniques is DNA testing.

It is interesting talking to the people who  have lots of data center experience, and in some ways it feels like these are the people who haved figured out the science of data centers, and what really works.

in the same way that fingerprints and blood testing are popular and accepted by the mass public, it doesn't necessary mean there is science behind the techniques.

Are you practicing data center science or using the common accepted methods?  There is a difference.

 

Be creative with constraints, awesome designs address constraints

I am working on a system design with some others and we are on to some cool things because we have chose some interesting design constraints that are creating a different user experience.

Some data centers designs have had very little constraints as they had plenty of budget and time.  Yet, some of the most interesting designs are when constraints are made that force the team to be more creative.

For an idea of what is meant consider this blog post.

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For a lot of designers constraints are kryptonite or a barbed wire fence that is a prison for their design freedom. But design constraints shouldn’t be viewed as problems to be overcome, rather, constraints or restrictions are probably the best tool for creativity.Constraints are good: they give you direction and they challenge you to be better. Constraints force you to try new things and to experiment more.

Victor Hugo said “Necessity is the mother of all invention” and he is right, we invent stuff to solve problems. Invention and creativity go hand in hand, without creativity nothing would be invented. In design, constraints create necessity and their sole purpose is to challenge our very creativity and make us examine design in different ways.

Open Data Map movement demonstrates innovation opportunity for Open Sourced Data Center Initiative

Tim Berners- Lee has a 6 minute TED presentation on the year open data went worldwide.

Map and location services are top scenarios for mobile devices.  Google and Microsoft have their maps.  Nokia bought Navteq and MetaCarta.  Apple bought PlaceBase.  With all the companies creating services, volunteers using an open approach to collaborate can beat the proprietary services.

The MercuryNews reports on Open Street Maps.

Volunteers create new digital maps

By Mike Swift

mswift@mercurynews.com

Posted: 04/09/2010 09:08:55 PM PDT

Updated: 04/10/2010 01:36:26 PM PDT

Ron Perez hikes by a waterfall while a portable GPS device records his tracks as... (Jim Gensheimer)

When Brian "Beej" Hall first heard about an audacious volunteer effort to create an Internet map of every street and path in every city and village on the planet, he was hooked. At the time, the nascent effort had only a few American members, and the U.S. map was essentially a digital terra incognita.

Just a few years later, the Berkeley software engineer is editing digital maps so precise they include drinking fountains and benches in the Bay Area parks where he hikes, and the mapping community has swelled to more than 240,000 global members. The effort, OpenStreetMap, is a kind of grass-roots Wikipedia for maps that is transforming how map data is collected, shared and used — from the desktop to smartphones to car navigation.

The reporter makes the observation of how a nonprofit community can change the map business.

But increasingly, the nonprofit community collaboration model behind OpenStreetMap, which shares all the cartographic data in its maps for free, is also changing the business of mapping, just as Wikipedia changed the business of reference. More and more, the accuracy of searches on Google Maps or directions issued by your car's navigational device are based on data collected by volunteers like Hall and other members of OpenStreetMap's do-it-yourself army.

Part of the reason why OpenStreetMap is popular is the fact that the end users are creating the maps.

OpenStreetMap users say that because their data is collected by people who actually live in a place, it is more likely to be accurate.

"It's the people's map," said Paul Jarrett, director of mapping for CloudMade.

If you are interested in the use of OpenStreetMap in Haiti go here.

We chose to tell the story of 'OpenStreetMap - Project Haiti'.
We all followed the crisis that unfolded following the Haiti earthquake, many of us chose to donate money, a few were flown out and deployed as part of the relief effort. But what practical impact can many have without being there in Haiti itself? Well, during this crisis a remarkable story unfolded; of how people around the world could virtually collaborate and contribute to the on-the-ground operations.

OpenStreetMap - Project Haiti 1

With the little existing physical, political and social infrastructure  now destroyed or damaged, the situation was especially challenging for aid agencies arriving on the ground. Where are the areas most in need of assistance, how do we get there, where are people trapped under buildings, which roads are blocked? This information is important to the rescue agencies immediately after the event, and to the longer rebuilding process. In many developing countries, there is a lack of good mapping data and particularly after a crisis, when up-to-date information is critical to managing events as they evolve.
Enter OpenStreetMap, the wiki map of the world, CrisisMappers and an impromptu community of volunteers who collaborated to produce the most authoritative map of Haiti in existence. Within hours of the event people were adding detail to the map, but on January 14th high resolution sattelite imagery of Haiti was made freely available and the Crisis Mapping community were able to trace roads, damaged buildings, and enter camps of displaced people into OpenStreetMap. This is the story of OpenStreetMap - Project Haiti:

There are many who think the Open Source Data Center Initiative will not work.  There are a lot of people who thought OpenStreetMaps wouldn't work too.

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Long Now, Long View, Long Lived Data Center, a 10,000 year clock - a 10,000 year data center?

I am currently thinking of rules for the ontology in data center designs.  Translated, I am trying to figure out the principles, components, and relationships for the Open Source Data Center Initiative. 

This is a complex topic to try and explain, but I found an interesting project the Long Now started by a bunch of really smart people, Jeff Bezos, Esther Dyson, Mitch Kapor, Peter Schwartz, and Steward Brand.  Here is a video discussing the idea of a 10,000 year clock.

 

But, what I found interesting was their long term approach and transparency that we will be using in the Open Source Data Center Initiative.  And, now thinking a Long View is part of what we have as principles.

Here are the principles of the Long Now Clock that make a lot of sense to use data center design.


These are the principles that Danny Hillis used in the initial stages of designing a 10,000 Year Clock. We have found these are generally good principles for designing anything to last a long time.

Longevity

With occasional maintenance, the clock should reasonably be expected to display the correct time for the next 10,000 years.

Maintainability

The clock should be maintainable with bronze-age technology.

Transparency
It should be possible to determine operational principles of the clock by close inspection.
Evolvability
It should be possible to improve the clock with time.
Scalability
It should be possible to build working models of the clock from table-top to monumental size using the same design.

Some rules that follow from the design principles:

Longevity:
Go slow
Avoid sliding friction (gears)
Avoid ticking
Stay clean
Stay dry
Expect bad weather
Expect earthquakes
Expect non-malicious human interaction
Dont tempt thieves
Maintainability and transparency:
Use familiar materials
Allow inspection
Rehearse motions
Make it easy to build spare parts
Expect restarts
Include the manual
Scalability and Evolvabilty:
Make all parts similar size
Separate functions
Provide simple interfaces

Why think about a 10,000 year clock, because thinking about slowness teaches us things we don't have time when think only of speed.

Hurry Up and Wait

The Slow Issue > Jennifer Leonard on January 5, 2010 at 6:30 am PST

018-futurists-1

We asked some of the world’s most prominent futurists to explain why slowness might be as important to the future as speed.

Julian Bleecker
Julian Bleecker, a designer, technologist, and co-founder of the Near Future Laboratory, devises “design-to-think experiments” that focus on interactions away from conventional computer settings. “When sitting at a screen and keyboard, everything is tuned to be as fast as possible,” he says. “It’s about diminishing time to nothing.”
So he asks, “Can we make design where time is inescapable and not be brought to zero? Would it be interesting if time were stretched, or had weight?” To test this idea, Bleeker built a Slow Messaging Device, which automatically delayed electronic (as in, e-mail) messages. Especially meaningful messages took an especially long time to arrive.

Read more: http://www.good.is/post/hurry-up-and-wait#ixzz0jmOEcLg4

The biggest unknown problems in data centers are those things that we didn't think were going to happen in the future.  And, this leaves the door open to over-engineering, increasing cost, brittleness of systems, and delays.  Taking a Long View what will the future possibly look like can help you see things you normally wouldn't.

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