SSD and Green IT moving beyond green washing

SSD and Green IT moving beyond green washing

Keeping in mind that there is no such thing as a data or information recession, not to mention that people and data are living longer, there is the need to discuss expanding data footprints. When researching his new article over on SearchSolidstateStorage.com John Hilliard reached out to ask about SSD, Green IT, energy efficiency and effectiveness trends and perspectives (you can read the article and my comments here).

In the past when Green IT and Green storage was mentioned, discussions focused around energy avoidance along with space capacity reduction. While storage efficiency and optimization in the context of space-saving and capacity consolidation are part of Green storage, so too are storage IO consolidation with SSD. For inactive or less frequently accessed data, storage optimization and efficiency can focus on using various data footprint reduction techniques including archive, backup and data protection modernization, compression, dedupe, data management and deletion, along with storage tiering and thin provisioning among others.

SSD and IO consolidation for Green IT and productivity

On the other hand, for active data where performance is important, the focus expands to how to be more effective and boosting productivity with IO consolidation using SSD and other technologies.

Note that if your data center infrastructure is not efficient, then it is possible that for every watt of energy consumed, a watt (or more) of energy is needed to cool. However if your data center cooling is effective with a resulting low or good PUE, you may not be seeing a 1:1 watt or energy used for storage to cooling ratio as was more common a few years ago.

IMHO while reducing carbon footprints is a noble and good thing, however if that is your own focus or value proposition for a solution such as SSD or other Green technologies and techniques including data footprint reduction, you are missing many opportunities.

Have a read of John’s article that includes some of my comments on energy efficiency and effectiveness to support enhanced productivity, or the other aspect of Green IT being economic enabling to avoid missed opportunities.

Where to learn more

Various IT industry vendor and service provider links
Green and Virtual Data Center Primer
Green and Virtual Data Center links
Green IT Confusion Continues, Opportunities Missed!
Green IT deferral blamed on economic recession might be result of green gap
Supporting IT growth demand during economic uncertain times
Industry trend: People plus data are aging and living longer
Are large storage arrays dead at the hands of SSD?
EPA Energy Star for data center storage draft 3 specification
How much SSD do you need vs. want?
More storage and IO metrics that matter
What is the best kind of IO? The one you do not have to do

Speaking of speeding up business with SSD storage

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

Green IT deferral blamed on economic recession might be result of green gap

Storage I/O Industry Trends and Perspectives

I recently saw a comment somewhere that talked about Green IT being deferred or set aside due to lack of funding because of ongoing global economic turmoil. For those who see Green IT in the context of the green washing efforts that requiring spending to gain some benefits that I can understand. After all, if your goal is to simply go and be or be seen as being green, there is a cost to doing that.

With tight or shrinking IT budgets, there are other realities and while organizations may want to do the right thing helping the environment, however that is often seen as overhead to financial conscious management.

On the other hand, turn the green washing messaging off or at least dial-it back a bit as has been the case the past couple of years.

Expand the Green IT discussion or change it around a bit from that of being seen or perceived as being green by energy efficiency or avoidance to that of effectiveness, enhanced productivity, doing more with what you have or with less and there is a different opportunity.

That opportunity is to meet the financial and business goals or requirements that as a by-product help the environment. In other words, expand the focus of Green IT to that of economics and improving on resource effectiveness and the environment gets a free ride, or, Green gets self-funded.

The Green and Virtual Data Center Book addressing optimization, effectivness, productivity and economics

The challenge is what I refer to as the Green Gap, which is the disconnect between what is talked about (e.g. messaging) and thus perceived to be Green IT and where common IT opportunities exist (or missed opportunities have occurred).

Green IT or at least the tenants of driving efficiency and effectiveness to use energy more effectively, address recycling and waste, removable of hazardous substance and other items continues to thrive. However, the green washing is subsiding and overtime organizations will not be as dismissive of Green IT in the context of improving productivity, reducing complexity and costs, optimization and related themes tied to economics where the environment gets a free ride.

Here are some related links:
Closing the Green Gap
Energy efficient technology sales depend on the pitch
EPA Energy Star for Data Center Storage Update
Green IT Confusion Continues, Opportunities Missed!
How to reduce your Data Footprint impact (Podcast)
Optimizing storage capacity and performance to reduce your data footprint
Performance metrics: Evaluating your data storage efficiency
PUE, Are you Managing Power, Energy or Productivity?
Saving Money with Green Data Storage Technology
Saving Money with Green IT: Time To Invest In Information Factories
Shifting from energy avoidance to energy efficiency
Storage Efficiency and Optimization: The Other Green
Supporting IT growth demand during economic uncertain times
The new Green IT: Efficient, Effective, Smart and Productive
The other Green Storage: Efficiency and Optimization
The Green and Virtual Data Center Book (CRC Press, Intel Recommended Reading)

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

Green IT, Green Gap, Tiered Energy and Green Myths

There are many different aspects of Green IT along with several myths or misperceptions not to mention missed opportunities.

There is a Green Gap or disconnect between environmentally aware, focused messaging and core IT data center issues. For example, when I ask IT professionals whether they have or are under direction to implement green IT initiatives, the number averages in the 10-15% range.

However, when I ask the same audiences who has or sees power, cooling, floor space, supporting growth, or addressing environmental health and safety (EHS) related issues, the average is 75 to 90%. What this means is a disconnect between what is perceived as being green and opportunities for IT organizations to make improvements from an economic and efficiency standpoint including boosting productivity.

 

Some IT Data Center Green Myths
Is “green IT” a convenient or inconvenient truth or a legend?

When it comes to green and virtual environments, there are plenty of myths and realities, some of which vary depending on market or industry focus, price band, and other factors.

For example, there are lines of thinking that only ultra large data centers are subject to PCFE-related issues, or that all data centers need to be built along the Columbia River basin in Washington State, or that virtualization eliminates vendor lock-in, or that hardware is more expensive to power and cool than it is to buy.

The following are some myths and realities as of today, some of which may be subject to change from reality to myth or from myth to reality as time progresses.

Myth: Green and PCFE issues are applicable only to large environments.

Reality: I commonly hear that green IT applies only to the largest of companies. The reality is that PCFE issues or green topics are relevant to environments of all sizes, from the largest of enterprises to the small/medium business, to the remote office branch office, to the small office/home office or “virtual office,” all the way to the digital home and consumer.

 

Myth: All computer storage is the same, and powering disks off solves PCFE issues.

Reality: There are many different types of computer storage, with various performance, capacity, power consumption, and cost attributes. Although some storage can be powered off, other storage that is needed for online access does not lend itself to being powered off and on. For storage that needs to be always online and accessible, energy efficiency is achieved by doing more with less—that is, boosting performance and storing more data in a smaller footprint using less power.

 

Myth: Servers are the main consumer of electrical power in IT data centers.

Reality: In the typical IT data center, on average, 50% of electrical power is consumed by cooling, with the balance used for servers, storage, networking, and other aspects. However, in many environments, particularly processing or computation intensive environments, servers in total (including power for cooling and to power the equipment) can be a major power draw.

 

Myth: IT data centers produce 2 to 8% of all global Carbon Dioxide (CO2) and carbon emissions.

Reality:  Thus might be perhaps true, given some creative accounting and marketing math in order to help build a justification case or to scare you into doing something. However, the reality is that in the United States, for example, IT data centers consume around 2 to 4% of electrical power (depending on when you read this), and less than 80% of all U.S. CO2 emissions are from electrical power generation, so the math does not quite add up. The reality is this, if no action is taken to improve IT data center energy efficiency, continued demand growth will shift IT power-related emissions from myth to reality, not to mention cause constraints on IT and business sustainability from an economic and productivity standpoint.

Myth: Server consolidation with virtualization is a silver bullet to address PCFE issues.

Reality: Server virtualization for consolidation is only part of an overall solution that should be combined with other techniques, including lower power, faster and more energy efficient servers, and improved data and storage management techniques.

 

Myth: Hardware costs more to power than to purchase.

Reality: Currently, for some low-cost servers, standalone disk storage, or entry level networking switches and desktops, this may be true, particularly where energy costs are excessively high and the devices are kept and used continually for three to five years. A general rule of thumb is that the actual cost of most IT hardware will be a fraction of the price of associated management and software tool costs plus facilities and cooling costs. For the most part, at least as of this writing, small standalone individual hard disk drives or small entry level volume servers can be bought and then used in locations that have very high electrical costs over a three  to five year time frame.

 

Regarding this last myth, for the more commonly deployed external storage systems across all price bands and categories, generally speaking, except for extremely inefficient and hot running legacy equipment, the reality is that it is still cheaper to power the equipment than to buy it. Having said that, there are some qualifiers that should also be used as key indicators to keep the equation balanced. These qualifiers include the acquisition cost  if any, for new, expanded, or remodeled habitats or space to house the equipment, the price of energy in a given region, including surcharges, as well as cooling, length of time, and continuous time the device will be used.

For larger businesses, IT equipment in general still costs more to purchase than to power, particularly with newer, more energy efficient devices. However, given rising energy prices, or the need to build new facilities, this could change moving forward, particularly if a move toward energy efficiency is not undertaken.

There are many variables when purchasing hardware, including acquisition cost, the energy efficiency of the device, power and cooling costs for a given location and habitat, and facilities costs. For example, if a new storage solution is purchased for $100,000, yet new habitat or facilities must be built for three to five times the cost of the equipment, those costs must be figured into the purchase cost.

Likewise, if the price of a storage solution decreases dramatically, but the device consumes a lot of electrical power and needs a large cooling capacity while operating in a region with expensive electricity costs, that, too, will change the equation and the potential reality of the myth.

 

Tiered Energy Sources
Given that IT resources and facilitated require energy to power equipment as well as keep them cool, electricity are popular topics associated with Green IT, economics and efficiency with lots of metrics and numbers tossed around. With that in mind, the U.S. national average CO2 emission is 1.34 lb/kWh of electrical power. Granted, this number will vary depending on the region of the country and the source of fuel for the power-generating station or power plant.

Like IT tiered resources (Servers, storage, I/O networks, virtual machines and facilities) of which there are various tiers or types of technologies to meet various needs, there are also multiple types of energy sources. Different tiers of energy sources vary by their cost, availability and environmental characteristics among others. For example, in the US, there are different types of coal and not all coal is as dirty when combined with emissions air scrubbers as you might be lead to believe however there are other energy sources to consider as well.

Coal continues to be a dominant fuel source for electrical power generation both in the United States and abroad, with other fuel sources, including oil, gas, natural gas, liquid propane gas (LPG or propane), nuclear, hydro, thermo or steam, wind and solar. Within a category of fuel, for example, coal, there are different emissions per ton of fuel burned. Eastern U.S. coal is higher in CO2 emissions per kilowatt hour than western U.S. lignite coal. However, eastern coal has more British thermal units (Btu) of energy per ton of coal, enabling less coal to be burned in smaller physical power plants.

If you have ever noticed that coal power plants in the United States seem to be smaller in the eastern states than in the Midwest and western states, it’s not an optical illusion. Because eastern coal burns hotter, producing more Btu, smaller boilers and stockpiles of coal are needed, making for smaller power plant footprints. On the other hand, as you move into the Midwest and western states of the United States, coal power plants are physically larger, because more coal is needed to generate 1 kWh, resulting in bigger boilers and vent stacks along with larger coal stockpiles.

On average, a gallon of gasoline produces about 20 lb of CO2, depending on usage and efficiency of the engine as well as the nature of the fuel in terms of octane or amount of Btu. Aviation fuel and diesel fuel differ from gasoline, as does natural gas or various types of coal commonly used in the generation of electricity. For example, natural gas is less expensive than LPG but also provides fewer Btu per gallon or pound of fuel. This means that more natural gas is needed as a fuel to generate a given amount of power.

Recently, while researching small, 10 to 12 kWh standby generators for my office, I learned about some of the differences between propane and natural gas. What I found was that with natural gas as fuel, a given generator produced about 10.5 kWh, whereas the same unit attached to a LPG or propane fuel source produced 12 kWh. The trade off was that to get as much power as possible out of the generator, the higher cost LPG was the better choice. To use lower cost fuel but get less power out of the device, the choice would be natural gas. If more power was needed, than a larger generator could be deployed to use natural gas, with the trade off of requiring a larger physical footprint.

Oil and gas are not used as much as fuel sources for electrical power generation in the United States as in other countries such as the United Kingdom. Gasoline, diesel, and other petroleum based fuels are used for some power plants in the United States, including standby or peaking plants. In the electrical power G and T industry as in IT, where different tiers of servers and storage are used for different applications there are different tiers of power plants using different fuels with various costs. Peaking and standby plants are brought online when there is heavy demand for electrical power, during disruptions when a lower cost or more environmentally friendly plant goes offline for planned maintenance, or in the event of a trip or unplanned outage.

CO2 is commonly discussed with respect to green and associated emissions however there are other so called Green Houses Gases including Nitrogen Dioxide (NO2) and water vapors among others. Carbon makes up only a fraction of CO2. To be specific, only about 27% of a pound of CO2 is carbon; the balance is not. Consequently, carbon emissions taxes schemes (ETS), as opposed to CO2 tax schemes, need to account for the amount of carbon per ton of CO2 being put into the atmosphere. In some parts of the world, including the EU and the UK, ETS are either already in place or in initial pilot phases, to provide incentives to improve energy efficiency and use.

Meanwhile, in the United States there are voluntary programs for buying carbon offset credits along with initiatives such as the carbon disclosure project. The Carbon Disclosure Project (www.cdproject.net) is a not for profit organization to facilitate the flow of information pertaining to emissions by organizations for investors to make informed decisions and business assessment from an economic and environmental perspective. Another voluntary program is the United States EPA Climate Leaders initiative where organizations commit to reduce their GHG emissions to a given level or a specific period of time.

Regardless of your stance or perception on green issues, the reality is that for business and IT sustainability, a focus on ecological and, in particular, the corresponding economic aspects cannot be ignored. There are business benefits to aligning the most energy efficient and low power IT solutions combined with best practices to meet different data and application requirements in an economic and ecologically friendly manner.

Green initiatives need to be seen in a different light, as business enables as opposed to ecological cost centers. For example, many local utilities and state energy or environmentally concerned organizations are providing funding, grants, loans, or other incentives to improve energy efficiency. Some of these programs can help offset the costs of doing business and going green. Instead of being seen as the cost to go green, by addressing efficiency, the by products are economic as well as ecological.

Put a different way, a company can spend carbon credits to offset its environmental impact, similar to paying a fine for noncompliance or it can achieve efficiency and obtain incentives. There are many solutions and approaches to address these different issues, which will be looked at in the coming chapters.

What does this all mean?
There are real things that can be done today that can be effective toward achieving a balance of performance, availability, capacity, and energy effectiveness to meet particular application and service needs.

Sustaining for economic and ecological purposes can be achieved by balancing performance, availability, capacity, and energy to applicable application service level and physical floor space constraints along with intelligent power management. Energy economics should be considered as much a strategic resource part of IT data centers as are servers, storage, networks, software, and personnel.

The bottom line is that without electrical power, IT data centers come to a halt. Rising fuel prices, strained generating and transmission facilities for electrical power, and a growing awareness of environmental issues are forcing businesses to look at PCFE issues. IT data centers to support and sustain business growth, including storing and processing more data, need to leverage energy efficiency as a means of addressing PCFE issues. By adopting effective solutions, economic value can be achieved with positive ecological results while sustaining business growth.

Some additional links include:

Want to learn or read more?

Check out Chapter 1 (Green IT and the Green Gap, Real or Virtual?) in my book “The Green and Virtual Data Center” (CRC) here or here.

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

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