Tag: measurement

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Data Center Infrastructure Management (DCIM) and IRM

StorageIO industry trends cloud, virtualization and big data

There are many business drivers and technology reasons for adopting data center infrastructure management (DCIM) and infrastructure Resource Management (IRM) techniques, tools and best practices. Today’s agile data centers need updated management systems, tools, and best practices that allow organizations to plan, run at a low-cost, and analyze for workflow improvement. After all, there is no such thing as an information recession driving the need to move process and store more data. With budget and other constraints, organizations need to be able to stretch available resources further while reducing costs including for physical space and energy consumption.

The business value proposition of DCIM and IRM includes:

DCIM, Data Center, Cloud and storage management figure

Data Center Infrastructure Management or DCIM also known as IRM has as their names describe a focus around management resources in the data center or information factory. IT resources include physical floor and cabinet space, power and cooling, networks and cabling, physical (and virtual) servers and storage, other hardware and software management tools. For some organizations, DCIM will have a more facilities oriented view focusing on physical floor space, power and cooling. Other organizations will have a converged view crossing hardware, software, facilities along with how those are used to effectively deliver information services in a cost-effective way.

Common to all DCIM and IRM practices are metrics and measurements along with other related information of available resources for gaining situational awareness. Situational awareness enables visibility into what resources exist, how they are configured and being used, by what applications, their performance, availability, capacity and economic effectiveness (PACE) to deliver a given level of service. In other words, DCIM enabled with metrics and measurements that matter allow you to avoid flying blind to make prompt and effective decisions.

DCIM, Data Center and Cloud Metrics Figure

DCIM comprises the following:

  • Facilities, power (primary and standby, distribution), cooling, floor space
  • Resource planning, management, asset and resource tracking
  • Hardware (servers, storage, networking)
  • Software (virtualization, operating systems, applications, tools)
  • People, processes, policies and best practices for management operations
  • Metrics and measurements for analytics and insight (situational awareness)

The evolving DCIM model is around elasticity, multi-tenant, scalability, flexibility, and is metered and service-oriented. Service-oriented, means a combination of being able to rapidly give new services while keeping customer experience and satisfaction in mind. Also part of being focused on the customer is to enable organizations to be competitive with outside service offerings while focusing on being more productive and economic efficient.

DCIM, Data Center and Cloud E2E management figure

While specific technology domain areas or groups may be focused on their respective areas, interdependencies across IT resource areas are a matter of fact for efficient virtual data centers. For example, provisioning a virtual server relies on configuration and security of the virtual environment, physical servers, storage and networks along with associated software and facility related resources.

You can read more about DCIM, ITSM and IRM in this white paper that I did, as well as in my books Cloud and Virtual Data Storage Networking (CRC Press) and The Green and Virtual Data Center (CRC Press).

Ok, nuff said, for now.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

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Saving Money with Green IT: Time To Invest In Information Factories

There is a good and timely article titled Green IT Can Save Money, Too over at Business Week that has a familiar topic and theme for those who read this blog or other content, articles, reports, books, white papers, videos, podcasts or in-person speaking and keynote sessions that I have done..

I posted a short version of this over there, here is the full version that would not fit in their comment section.

Short of calling it Green IT 2.0 or the perfect storm, there is a resurgence and more importantly IMHO a growing awareness of the many facets of Green IT along with Green in general having an economic business sustainability aspect.

While the Green Gap and confusion still exists, that is, the difference between what people think or perceive and actual opportunities or issues; with growing awareness, it will close or at least narrow. For example, when I regularly talk with IT professionals from various sized, different focused industries across the globe in diverse geographies and ask them about having to go green, the response is in the 7-15% range (these are changing) with most believing that Green is only about carbon footprint.

On the other hand, when I ask them if they have power, cooling, floor space or other footprint constraints including frozen or reduced budgets, recycling along with ewaste disposition or RoHS requirements, not to mention sustaining business growth without negatively impacting quality of service or customer experience, the response jumps up to 65-75% (these are changing) if not higher.

That is the essence of the green gap or disconnect!

Granted carbon dioxide or CO2 reduction is important along with NO2, water vapors and other related issues, however there is also the need to do more with what is available, stretch resources and footprints do be more productive in a shrinking footprint. Keep in mind that there is no such thing as an information, data or processing recession with all indicators pointing towards the need to move, manage and store larger amounts of data on a go forward basis. Thus, the need to do more in a given footprint or constraint, maximizing resources, energy, productivity and available budgets.

Innovation is the ability to do more with less at a lower cost without compromise on quality of service or negatively impacting customer experience. Regardless of if you are a manufacturer, or a service provider including in IT, by innovating with a diverse Green IT focus to become more efficient and optimized, the result is that your customers become more enabled and competitive.

By shifting from an avoidance model where cost cutting or containment are the near-term tactical focus to an efficiency and productivity model via optimization, net unit costs should be lowered while overall service experience increase in a positive manner. This means treating IT as an information factory, one that needs investment in the people, processes and technologies (hardware, software, services) along with management metric indicator tools.

The net result is that environmental or perceived Green issues are addressed and self-funded via the investment in Green IT technology that boosts productivity (e.g. closing or narrowing the Green Gap). Thus, the environmental concerns that organizations have or need to address for different reasons yet that lack funding get addressed via funding to boost business productivity which have tangible ROI characteristics similar to other lean manufacturing approaches.

Here are some additional links to learn more about these and other related themes:

Have a read over at Business Week about how Green IT Can Save Money, Too while thinking about how investing in IT infrastructure productivity (Information Factories) by becoming more efficient and optimized helps the business top and bottom line, not to mention the environment as well.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

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PUE, Are you Managing Power, Energy or Productivity?

With a renewed focus on Green IT including energy Efficiency and Optimization of servers, storage, networks and facilities, is your focus on managing power, energy, or, productivity?

For example, do you use or are interested in metrics such as Greengrid PUE or 80 Plus efficient power supplies along with initiatives such as EPA Energy Star for servers and emerging Energy Star for Data Center for Storage in terms of energy usage?

Or are you interested in productivity such as amount of work or activity that can be done in a given amount of time,or how much information can be stored in a given footprint (power, cooling, floor space, budget, management)?

For many organizations, there tends to be a focus and in both managing power along with managing productivity. The two are or should interrelated, however there are some disconnects with some emphasis and metrics. For example, the Green grid PUE is a macro facilities centric metric that does not show the productivity, quality or measure of services being delivered by a data center or information factory. Instead, PUE provides a gauge of how the habitat, that is the building and power distribution along with cooling are efficient with respect to the total energy consumption of IT equipment.

As a refresher, PUE is a macro metric that is essentially a ratio of how much total power or energy goes into a facility vs. the amount of energy used by IT equipment. For example, if 12Kw (smaller room/site) or 12Mw (larger site) are required to power an IT data center or computer room for that matter, and of that energy load, 6kWh or 6Mw, the PUE would be 2. A PUE of 2 is an indicator that 50% of energy going to power a facility or computer room goes towards IT equipment (servers, storage, networks, telecom and related equipment) with the balance going towards running the facility or environment which typically has had the highest percentage being HVAC/cooling.

In the case of EPA Energy Star for Data Centers which initially is focused on the habitat or facility efficiency, the answer is measuring and managing energy use and facility efficiency as opposed to productivity or useful work. The metric for EPA Energy Star for Data Center initially will be Energy Usage Effectiveness (EUE) that will be used to calculate a ratting for a data center facility. Those data centers in the top25 percentile will qualify for Energy Star certification.

Note the word energy and not power which means that the data center macro metric based on Green grid PUE rating looks at all source of energy used by a data center and not just electrical power. What this means is that a macro and holistic facilities energy consumption could be a combination of electrical power, diesel, propane or natural gas or other fuel sources to generate or create power for IT equipment, HVAC/Cooling and other needs. By using a metric that factor in all energy sources, a facility that uses solar, radiant, heat pumps, economizers or other techniques to reduce demands on energy will make a better rating.

By using a macro metric such as EUE or PUE (ratio = Total_Power_Used / IT_Power_Needs), a starting point is available to decide and compare efficiency and cost to power or energize a facility or room also known as a habitat for technology.

Managing Productivity of Information Factories (E.g. Data Centers)
What EUE and PUE do not reflect or indicate is how much data is processed, moved and stored by servers, storage and networks within a facility. On the other hand or extreme from macro metrics are micro or component metrics that gauge energy usage on an individual device basis. Some of these micro metrics may have activity or productivity indicator measurements associated with them, some don’t. Where these leave a big gap and opportunity is to fill the span between the macro and micro.

This is where work is being done by various industry groups including SNIA GSI, SPC and SPEC among others along with EPA Energy Star among others to move beyond macro PUE indicators to more granular effectiveness and efficiency metrics that reflect productivity. Ultimately productivity is important to gauge,  the return on investment and business value of how much data can be processed by servers, moved via networks or stored on storage devices in a given energy footprint or cost.

In Figure 1 are shown four basic approaches (in addition to doing nothing) to energy efficiency. One approach is to avoid energy usage, similar to following a rationing model, but this approach will affect the amount of work that can be accomplished. Another approach is to do more work using the same amount of energy, boosting energy efficiency, or do same amount of work (or storage data) however with less energy.

Tiered Storage
Figure 1 the Many Faces of Energy Efficiency Source: The Green and Virtual Data Center(CRC)

The energy efficiency gap is the difference between the amount of work accomplished or information stored in a given footprint and the energy consumed. In other words, the bigger the energy efficiency gap, the better, as seen in the fourth scenario, doing more work or storing more information in a smaller footprint using less energy. Clock here to read more about Shifting from energy avoidance to energy efficiency.

Watch for new metrics looking at productivity and activity for servers, storage and networks ranging from MHz or GHz per watt, transactions or IOPS per watt, bandwidth, frames or packets processed per watt or capacity stored per watt in a given footprint. One of the confusing metrics is Gbytes or Tbytes per watt in that it can mean storage capacity or bandwidth, thus, understand the context of the metric. Likewise watch for metrics that reflect energy usage for active along with in-active including idle or dormant storage common with archives, backup or fixed content data.

What this all means is that work continues on developing usable and relevant metrics and measurement not only for macro energy usage, also, to gauge the effectiveness of delivering IT services. The business value proposition of driving efficiency and optimization including increased productivity along with storing more information in a given footprint is to support density and business sustainability.

 

Additional resources and where to learn in addition to those mentioned above include:

EPA Energy Star for Data Center Storage

Storage Efficiency and Optimization – The Other Green

Performance = Availability StorageIOblog featured ITKE guest blog

SPC and Storage Benchmarking Games

Shifting from energy avoidance to energy efficiency

Green IT Confusion Continues, Opportunities Missed!

Green Power and Cooling Tools and Calculators

Determining Computer or Server Energy Use

Examples of Green Metrics

Green IT, Power, Energy and Related Tools or Calculators

Chapter 10 (Performance and Capacity Planning)
Resilient Storage Networks (Elsevier)

Chapter 5 (Measurement, Metrics and Management of IT Resources)
The Green and Virtual Data Center (CRC)

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

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U.S. EPA Looking for Industry Input on Energy Star for Storage

Following up on previous blog posts, here is some information that the U.S. EPA is looking for comments from industry on an Energy Start for enterprise storage program following on the heels of the Energy Star for Server program.

US EPA Energy Star LogoUS EPA Energy Star wants and needs you!
U.S. EPA Energy Star Wants and Needs You!

Here’s the message received from the EPA via their mailing list this past week (in italics below):

Dear Enterprise Storage Equipment Manufacturers and Other Interested Parties:

Please see the attached letter from the U.S. Environmental Protection Agency (EPA) announcing their intent to pursue development of an ENERGY STAR specification for Enterprise Storage equipment.  If you have any questions or concerns, please contact Andrew Fanara, EPA, at fanara.andrew@epa.gov or Stephen Pantano, ICF International, at spantano@icfi.com.

Thank you for your support of ENERGY STAR.

Here’s the intro letter excerpted from the above email notification (in italics below):

April 23, 2009

Dear Enterprise Storage Equipment Manufacturers and Other Interested Parties:

This letter is intended to inform all stakeholders that the U.S. Environmental Protection Agency (EPA) intends to continue its efforts towards the development of an ENERGY STAR® specification for enterprise data storage equipment. Following is an outline of EPA’s general goals and next steps.


ENERGY STAR is a voluntary partnership between government, businesses, and purchasers designed to encourage the manufacture, purchase, and use of efficient products to help protect the environment. Products that earn the ENERGY STAR prevent greenhouse gas emissions by meeting strict energy efficiency guidelines. Manufacturers that qualify their products to meet ENERGY STAR requirements may use the label as a tool to educate their customers about the enhanced value of these products.

To date:
•More than 2,000 manufacturers are partnering with ENERGY STAR,
•More than 40,000 product models carry the ENERGY STAR label across more than 50 product categories,
•More than 70% of Americans recognize the ENERGY STAR label,
•Consumers have purchased more than 2.5 billion ENERGY STAR qualified products, and
•Americans, with the help of ENERGY STAR, saved enough energy in 2008 to avoid greenhouse gas emissions equivalent to those from 29 million cars — while saving $19 billion on utility bills.

In the last several years, the energy saving opportunities in data centers have been well documented. However, barriers to energy efficiency still persist and need to be addressed. EPA is pursuing a dual strategy to overcome these challenges by helping purchasers more easily identify energy efficient IT equipment with the use of the ENERGY STAR designation, and by encouraging organizations to benchmark the energy performance of their data centers.


In pursuit of this strategy, EPA will introduce an ENERGY STAR Computer Server specification in the coming weeks. In addition, EPA recently conducted a scoping effort to evaluate enterprise storage products for inclusion in the ENERGY STAR program. EPA reviewed available market research and facilitated discussions with product manufacturers, industry associations, and other interested parties. EPA concluded that IT purchasers would benefit from access to standardized information about the energy performance of storage equipment made available through the ENERGY STAR program. As a result, EPA intends to begin the specification development process. Details on this process will be forthcoming in the next several weeks.

To be added to the enterprise storage e-mail distribution list, please send your full contact information to Stephen Pantano at spantano@icfi.com. To stay informed about the ENERGY STAR specification development process for computer servers and other EPA data center initiatives please visit: www.energystar.gov/datacenters.


Thank you for your continued support of ENERGY STAR and please direct additional questions to Andrew Fanara at fanara.andrew@epa.gov or Stephen Pantano of ICF International, at spantano@icfi.com.

Sincerely,

Andrew Fanara
U.S. Environmental Protection Agency, Climate Protection Partnerships Division ENERGY STAR Program Manager

My take on the Energy Star programs is that as long as they add value including reflecting how energy is effectively used both when IT equipment such as servers and storage are in use, as well as in energy saving or avoidance modes are reflected, they can and should be a good thing.

However industry will need to work together across different trade and focus groups as well as factor in how supporting metrics will be applicable and reflective thus accepted by IT data center environments. This means metrics and measurements for both active or working while in use energy efficiency modes such as IOPS, bandwidth, messages or transactions, files or videos per watt of energy, as well as metrics for in-active or dormant data such as capacity per watt per usable footprint. Check out Chapter 5 (Measurements and Metrics) in "The Green and Virtual Data Center" (CRC) to learn more.

Various industry trade and focus groups including Storage Performance Council (SPC), SNIA GSI, Green Grid, SPEC and others are working on various metrics and aligning themselves to work with EPA. If you are in an IT data center involved with servers or storage, consider getting involved with one or more of these groups to help influence and shape what these programs will look like or affect your organization in the future.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

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Geek Gadgets: Kill A Watt Meter

For the geek who has or thinks they have all the newest and greatest toys and gadgets add this Kill A Watt Meter available from venues including Amazon to your list if you don’t have one already to see how much electric power your gadgets are consuming.

Kill A Watt Meter via Amazon.com

Mine has already come in handy for sizing and load balancing circuits around the house, sizing an APC battery backed UPS for some home electronics and other uses.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved