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Predictive Modeling: If the Prognose tools really work the will become datacenter essentials

By | June 29, 2011, 9:04am PDT

Summary: Predictive modeling in the datcenter may be coming of age.

Romonet today announced their Prognose software suite, as set of tools that allow datacenter operators to develop a predictive modeling capability  for energy and capacity within their datacenters. This is a first in the datacenter world, as the software can not only be used in existing installations where there is data available to use to predict future performance, but also on new builds, where the datacenter is still in the design stage. Romonet is utilizing PUE as the model for determining the energy efficiency of the datacenter.

Using the layout Editor, the Prognose user enters the configuration of the equipment and the datacenter using the supplied reference devices from the software library. The user can start with a clean slate or modify one of the provided datacenter templates.  Once the datacenter has been modeled in the Layout Editor, the Prognose simulator can be run to allow the user to add infrastructure devices, change the parameters for the canned devices, load IT devices, and add detail information on items such as energy tariffs and climate data.

The Prognose suite does not include monitoring tools, so if the user wants to have up to the minute data on an existing facility they would need to have those tools available separately. The information used by the simulator is that provided in the Prognose database, unless updated by the user.

Romonet refers to their technology as data center predictive modeling, giving the industry a new (DCPM) acronym to add to their lexicon. And if actual widespread use of this technology shows that the modeling is accurate and reflective of the physical changes made in the infrastructure, it will be an acronym that gets a lot of use.  “What if” modeling scenarios have proven their value in many industries; the datacenter world is crying out from a reliable way to do this type of analysis in a rapidly changing market.

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With more than 20 years of published writings about technology, as well as industry stints as everything from a database developer to CTO, David Chernicoff has earned the term "veteran" in the technology world.

Disclosure

David Chernicoff

David does not invest in the technology he covers. As a freelance author and technologist he has had contract work with many vendors in the industry. Beyond the term of these short-term contracts there is no business or fiduciary arrangement with any technology vendor. David does not enter into contracts that would limit his freedom of expression in any way, nor is he remunerated for discussing any vendor. All comments in his blog writings are solely the opinions of David Chernicoff.

Biography

David Chernicoff

With more than 20 years of published writings about technology, as well as industry stints as everything from a database developer to CTO, David Chernicoff has earned the term "veteran" in the technology world. Currently the principal of an independent consulting business and an active freelance writer, David has most recently been a Senior Contributing Editor for Windows IT Pro magazine, having also been the Lab Director for Windows NT Magazine, Technical Director of PC Week Labs, the author or co-author of a number of books on different versions of Windows, a plethora of eBooks on various technology topics, and of approximately 3000 magazine articles in print and on the web.
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RE: Predictive Modeling: If the Prognose tools really work the will become datacenter essentials
FAULKNE 13th Oct
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Good day to confirm this comment I would appreciate T h e b e s t o f Z D N e t d e l i v e r e d your website very nice to everyone Yes, Oracle is the only one with shared-disk architecture, but that is there advantage. It means you can add or remove nodes and the database lives on. In a shared nothing architecture, if you lose a node, you lose the system. I'm sure Oracle appreciates EMC highlighting their advantage.I also desire to signal in your RSS feeds. Thank you as soon as once again and maintain up the great operate Awesome post! Thank you very much || thanks for nice content this is really benefit to me.

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