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	<title>The IT Genome Project &#187; Baseline</title>
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		<title>Data Center Virtualization and Cost Reduction</title>
		<link>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/</link>
		<comments>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/#comments</comments>
		<pubDate>Mon, 01 Mar 2010 15:46:35 +0000</pubDate>
		<dc:creator>Rajesh Kadam</dc:creator>
				<category><![CDATA[Data Centers]]></category>
		<category><![CDATA[GreenIT]]></category>
		<category><![CDATA[IT Asset Management]]></category>
		<category><![CDATA[Baseline]]></category>
		<category><![CDATA[Benchmarks]]></category>
		<category><![CDATA[energy consumption]]></category>
		<category><![CDATA[Green Grid]]></category>
		<category><![CDATA[Green IT]]></category>
		<category><![CDATA[map]]></category>
		<category><![CDATA[server utilization]]></category>

		<guid isPermaLink="false">http://blog.bdna.com/?p=57</guid>
		<description><![CDATA[Virtualization and consolidation of servers and storage devices is a no-brainer—a way to reap productivity gains without sowing investment]]></description>
			<content:encoded><![CDATA[GreenIT has brought significant cost saving opportunities by way of increased productivity.  Data Centers have been quick to grab on to this . According to the Green Grid, nearly 60% virtualized their IT equipment. Another 47% consolidated and optimized their servers, 46% bought computer equipment that uses low power / low wattage processors and 40% make full use of power management tools.

Virtualization and consolidation of servers and storage devices is a no-brainer—a way to reap productivity gains without sowing investment. The House of Representatives, for example, reduced its energy consumption its data centers by 50% and lowered its installed base of servers! With the state of IT Asset Management today, it’s not uncommon for server utilization to be as low as 2% to 5%. Companies can make-do with fewer servers, increase their rate of utilization and save the energy costs that are otherwise incurred on operating the surplus servers before virtualization reduces their numbers. A growing number of options exist to lower costs—blade servers which save space and energy costs, switch to cloud computing and desktop virtualization.

For efficient utilization of energy, the devil is in the details of comparative data of consumption by each piece of equipment and the angel in the overarching view of consumption patterns. Companies need to automatically discover their many assets and all the details of their versions, brand names, parameters of power consumption, etc. They also need to categorize the data for it to be intelligible and map the relationships in the asset classes, compare their baseline consumption with the benchmarks in order to detect opportunities for cost reduction while maintaining service levels. Manual data crunching with Excel sheets is way too cumbersome and slow. Software tools for IT Asset Management are needed to automate data gathering, analysis and visualization for identifying the sources of excess costs and means to lower them.]]></content:encoded>
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		<title>IT Asset Management: Baselines and Benchmarks for Datacenters</title>
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		<title>The IT Genome Project &#187; Baseline</title>
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		<title>Data Center Virtualization and Cost Reduction</title>
		<link>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/</link>
		<comments>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/#comments</comments>
		<pubDate>Mon, 01 Mar 2010 15:46:35 +0000</pubDate>
		<dc:creator>Rajesh Kadam</dc:creator>
				<category><![CDATA[Data Centers]]></category>
		<category><![CDATA[GreenIT]]></category>
		<category><![CDATA[IT Asset Management]]></category>
		<category><![CDATA[Baseline]]></category>
		<category><![CDATA[Benchmarks]]></category>
		<category><![CDATA[energy consumption]]></category>
		<category><![CDATA[Green Grid]]></category>
		<category><![CDATA[Green IT]]></category>
		<category><![CDATA[map]]></category>
		<category><![CDATA[server utilization]]></category>

		<guid isPermaLink="false">http://blog.bdna.com/?p=57</guid>
		<description><![CDATA[Virtualization and consolidation of servers and storage devices is a no-brainer—a way to reap productivity gains without sowing investment]]></description>
			<content:encoded><![CDATA[GreenIT has brought significant cost saving opportunities by way of increased productivity.  Data Centers have been quick to grab on to this . According to the Green Grid, nearly 60% virtualized their IT equipment. Another 47% consolidated and optimized their servers, 46% bought computer equipment that uses low power / low wattage processors and 40% make full use of power management tools.

Virtualization and consolidation of servers and storage devices is a no-brainer—a way to reap productivity gains without sowing investment. The House of Representatives, for example, reduced its energy consumption its data centers by 50% and lowered its installed base of servers! With the state of IT Asset Management today, it’s not uncommon for server utilization to be as low as 2% to 5%. Companies can make-do with fewer servers, increase their rate of utilization and save the energy costs that are otherwise incurred on operating the surplus servers before virtualization reduces their numbers. A growing number of options exist to lower costs—blade servers which save space and energy costs, switch to cloud computing and desktop virtualization.

For efficient utilization of energy, the devil is in the details of comparative data of consumption by each piece of equipment and the angel in the overarching view of consumption patterns. Companies need to automatically discover their many assets and all the details of their versions, brand names, parameters of power consumption, etc. They also need to categorize the data for it to be intelligible and map the relationships in the asset classes, compare their baseline consumption with the benchmarks in order to detect opportunities for cost reduction while maintaining service levels. Manual data crunching with Excel sheets is way too cumbersome and slow. Software tools for IT Asset Management are needed to automate data gathering, analysis and visualization for identifying the sources of excess costs and means to lower them.]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>IT Asset Management: Baselines and Benchmarks for Datacenters</title>
		<link>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/</link>
		<comments>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/#comments</comments>
		<pubDate>Mon, 01 Mar 2010 15:46:35 +0000</pubDate>
		<dc:creator>Rajesh Kadam</dc:creator>
				<category><![CDATA[Data Centers]]></category>
		<category><![CDATA[GreenIT]]></category>
		<category><![CDATA[IT Asset Management]]></category>
		<category><![CDATA[Baseline]]></category>
		<category><![CDATA[Benchmarks]]></category>
		<category><![CDATA[energy consumption]]></category>
		<category><![CDATA[Green Grid]]></category>
		<category><![CDATA[Green IT]]></category>
		<category><![CDATA[map]]></category>
		<category><![CDATA[server utilization]]></category>

		<guid isPermaLink="false">http://blog.bdna.com/?p=57</guid>
		<description><![CDATA[Virtualization and consolidation of servers and storage devices is a no-brainer—a way to reap productivity gains without sowing investment]]></description>
			<content:encoded><![CDATA[GreenIT has brought significant cost saving opportunities by way of increased productivity.  Data Centers have been quick to grab on to this . According to the Green Grid, nearly 60% virtualized their IT equipment. Another 47% consolidated and optimized their servers, 46% bought computer equipment that uses low power / low wattage processors and 40% make full use of power management tools.

Virtualization and consolidation of servers and storage devices is a no-brainer—a way to reap productivity gains without sowing investment. The House of Representatives, for example, reduced its energy consumption its data centers by 50% and lowered its installed base of servers! With the state of IT Asset Management today, it’s not uncommon for server utilization to be as low as 2% to 5%. Companies can make-do with fewer servers, increase their rate of utilization and save the energy costs that are otherwise incurred on operating the surplus servers before virtualization reduces their numbers. A growing number of options exist to lower costs—blade servers which save space and energy costs, switch to cloud computing and desktop virtualization.

For efficient utilization of energy, the devil is in the details of comparative data of consumption by each piece of equipment and the angel in the overarching view of consumption patterns. Companies need to automatically discover their many assets and all the details of their versions, brand names, parameters of power consumption, etc. They also need to categorize the data for it to be intelligible and map the relationships in the asset classes, compare their baseline consumption with the benchmarks in order to detect opportunities for cost reduction while maintaining service levels. Manual data crunching with Excel sheets is way too cumbersome and slow. Software tools for IT Asset Management are needed to automate data gathering, analysis and visualization for identifying the sources of excess costs and means to lower them.]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The IT Genome Project &#187; Baseline</title>
	<atom:link href="http://blog.bdna.com/tag/baseline/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.bdna.com</link>
	<description>BDNA is The IT Genome Company™.</description>
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			<item>
		<title>Data Center Virtualization and Cost Reduction</title>
		<link>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/</link>
		<comments>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/#comments</comments>
		<pubDate>Mon, 01 Mar 2010 15:46:35 +0000</pubDate>
		<dc:creator>Rajesh Kadam</dc:creator>
				<category><![CDATA[Data Centers]]></category>
		<category><![CDATA[GreenIT]]></category>
		<category><![CDATA[IT Asset Management]]></category>
		<category><![CDATA[Baseline]]></category>
		<category><![CDATA[Benchmarks]]></category>
		<category><![CDATA[energy consumption]]></category>
		<category><![CDATA[Green Grid]]></category>
		<category><![CDATA[Green IT]]></category>
		<category><![CDATA[map]]></category>
		<category><![CDATA[server utilization]]></category>

		<guid isPermaLink="false">http://blog.bdna.com/?p=57</guid>
		<description><![CDATA[Virtualization and consolidation of servers and storage devices is a no-brainer—a way to reap productivity gains without sowing investment]]></description>
			<content:encoded><![CDATA[GreenIT has brought significant cost saving opportunities by way of increased productivity.  Data Centers have been quick to grab on to this . According to the Green Grid, nearly 60% virtualized their IT equipment. Another 47% consolidated and optimized their servers, 46% bought computer equipment that uses low power / low wattage processors and 40% make full use of power management tools.

Virtualization and consolidation of servers and storage devices is a no-brainer—a way to reap productivity gains without sowing investment. The House of Representatives, for example, reduced its energy consumption its data centers by 50% and lowered its installed base of servers! With the state of IT Asset Management today, it’s not uncommon for server utilization to be as low as 2% to 5%. Companies can make-do with fewer servers, increase their rate of utilization and save the energy costs that are otherwise incurred on operating the surplus servers before virtualization reduces their numbers. A growing number of options exist to lower costs—blade servers which save space and energy costs, switch to cloud computing and desktop virtualization.

For efficient utilization of energy, the devil is in the details of comparative data of consumption by each piece of equipment and the angel in the overarching view of consumption patterns. Companies need to automatically discover their many assets and all the details of their versions, brand names, parameters of power consumption, etc. They also need to categorize the data for it to be intelligible and map the relationships in the asset classes, compare their baseline consumption with the benchmarks in order to detect opportunities for cost reduction while maintaining service levels. Manual data crunching with Excel sheets is way too cumbersome and slow. Software tools for IT Asset Management are needed to automate data gathering, analysis and visualization for identifying the sources of excess costs and means to lower them.]]></content:encoded>
			<wfw:commentRss>http://blog.bdna.com/data-center-virtualization-and-cost-reduction/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>IT Asset Management: Baselines and Benchmarks for Datacenters</title>
		<link>http://blog.bdna.com/it-asset-management-baselines-and-benchmarks-for-datacenters/</link>
		<comments>http://blog.bdna.com/it-asset-management-baselines-and-benchmarks-for-datacenters/#comments</comments>
		<pubDate>Mon, 01 Feb 2010 21:25:46 +0000</pubDate>
		<dc:creator>Ido Sarig</dc:creator>
				<category><![CDATA[IT Asset Management]]></category>
		<category><![CDATA[asset discovery]]></category>
		<category><![CDATA[Baseline]]></category>
		<category><![CDATA[benchmark]]></category>
		<category><![CDATA[CIO]]></category>
		<category><![CDATA[datacenters]]></category>
		<category><![CDATA[IT Budgets]]></category>
		<category><![CDATA[metrics]]></category>
		<category><![CDATA[server consolidation]]></category>
		<category><![CDATA[Uptime Institute]]></category>

		<guid isPermaLink="false">http://blog.bdna.com/?p=67</guid>
		<description><![CDATA[The times call for solutions that help determine the metrics of baseline consumption of resources in data centers and the benchmarks to be achieved.

]]></description>
			<content:encoded><![CDATA[IT Asset Management for cost reduction, which has often been an afterthought, has risen to be the top priority for IT investment allocations in 2010. While IT budgets will remain flat in 2010, the share of expenditures on cost reduction and corresponding technologies for consolidation, virtualization and alignment with business will increase by all accounts. The investment on projects for lowering operating costs increased the most by a whooping <a href="http://www.cio.com/documents/cache/pdfs/2010/2010_State_of_the_CIO_Gatefold.pdf">19% percentage points</a> from 39% in 2009 to 58% in 2010. Server consolidation and virtualization has been accorded the highest priority at <a href="http://searchcio.techtarget.com/news/article/0,289142,sid182_gci1376269,00.html">46% of the allocation</a>. The times call for solutions that help determine the metrics of baseline consumption of resources in data centers and the benchmarks to be achieved.

Companies can find cues for cost control by comparing industry averages with their own metrics. The data for standards for the <a href="http://www.itworld.com/green-it/60542/how-benchmark-data-center-energy-costs?page=0,1">overall efficiency of the data center</a> are prepared by the Uptime Institute and energy efficiency from the Green Grid. Startling insights are uncovered when the number crunching is completed. The Uptime Institute, for example, revealed that 19 datacenters it surveyed wasted <a href="http://www.ebizq.net/topics/int_sbp/features/11740.html?&amp;pp=1">1.9 watts of electricity</a> for every watt they consume!

The hard work is in measuring the devilish details of baseline numbers of their own data centers. The data, if it collected at all, is manually updated, scattered in the departments who own the specific IT assets and is likely hard to slice and dice. If the measurements are done manually, an expense of <a href="http://www.ebizq.net/topics/int_sbp/features/11740.html?&amp;pp=1">250 hours</a> of work for a facility with 1000 servers is incurred. Without automation of asset discovery and collation of data, the task of estimating the baseline numbers is overwhelming and most companies don’t even try.

Companies can distinguish themselves by using innovative methods for estimating the baselines and the benchmarks. <a href="http://communities.intel.com/docs/DOC-4755">Intel</a> experimented with more granular measurements of energy efficiency than those available from the Green Grid by determining the metrics for individual servers and the impact the consumption of useful energy and workloads have on their capacity utilization. The improvements were dramatic. For the period March 2008 to May 2009, it was able to replace older servers with more efficient new servers so that installed number of servers decreased by 14.2% while the compute capacity (EDA MIPS) increased by 96.4% and energy efficiency (EDA MIPS/kW) increased by 309%!  Without software to automate the measurements and the reporting of data, the servers would have continued to be underutilized.]]></content:encoded>
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