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127 Posts tagged with the datacenter tag
9

I read recently that 50% of data centers will exceed capacity by 2012 - capacity being some variable combination of physical space, available power or available cooling. I am skeptical. I agree that if you project the current growth rate and available capacity and such, you could come up with the 50% number, but, we are far from status quo in our data center opportunities. I would hesitate to break out the wrecking ball. Today I see three, sort of distinct, opportunities that every data center manager should be looking at very hard before they write the big check for new real estate.

 

The first is efficiency. There are numerous avenues available here including consolidation (through virtualization), server refresh with more powerful ( and more efficient ) servers, and new approaches to cooling. If we quit thinking of the data center as a room, and start thinking of it as mainframe in a really big box, our approach to cooling can become radically different. Why make a data center comfortable? Instead just keep it within the boundaries of warranties. Nobody wants to be in there anyway. Data center optimization should be your first initiative - learn more opportunities for effiency from Werner.

 

The second path to capacity containment is external hosting. Improvements in network speed and reliability have nearly negated the need for local data centers, and many businesses already rely on geo distributed data centers. The shift to letting someone else build and run the raised floor area just makes sense. I think of the shift from self run data centers to commercially hosted data centers much like the shift from private to commercial suppliers for power and communications. It is also a shift that can be executed incrementally, moving just some of the application hosting to a service provider. A variation on this theme is the SAAS( software as a service) model - for example salesforce.com*. Virtually everyone in the application business is offering, or planning to offer soon, down the wire applications. Can you really run an email system for your staff better than a commercial system? By applying data center optimization and taking advantage of targeted hosting and SAAS, a data center owner can squeeze at least a few more years out of the current raised floor real estate.

 

For some businesses, or at least for some of their applications, commercial hosting or SAAS is not seen as viable. The application is too important a value differentiator, or the data is too big, or the work to special, or, whatever. This is especially prevalent in engineering and finance where large amounts of "top secret" compute are executed. Well, there is a solution here as well. When you need to "own every line of code, and how it is run" you can still shift some of the work to machines outside your data center and defer capacity expansion. I am referring to "cloud computing". The most recognized example of this is in the compute service offered by Amazon* that uses spare cycles in their server structure. I think we will see a growing number of large scale internet and service companies offering up clouds. With cloud computing you push a "unit of work" to be executed in a service providers compute cloud. With appropriate encryption and obfuscation, the "unit of work" can remain as secret and secure as you wish. The application, database, and work results remain under local management and control.

 

If I were looking at a shrinking capacity window( any type of capacity) in my data center, I would pay attention to these opportunities, and their variations. I would be looking very hard at my next $25,000,000 data center expansion to understand if an alternate approach and architecture could shift those funds to better use.

 

*Other brands may be claimed as the property of others

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Continuing on the theme of measuring Data Centre efficiency - power consumption of the facilities and IT load are only one element albeit a large one - that contributes to the overall efficiency of a data centre. Ultimately a DC has to deliver useful workload and the amount of workload that can be achieved within a given physical DC is an increasing challenge. Lowering server power and increasing the cooling effectiveness of a DC are one of several ways to enable more equipment to be installed into an existing facility.

 

General consensus seems to be that the servers in many data centres do not always run a maximum utilisation - many are in the 10-15% utilisation range. This results from many IT shops following a policy of hosting one workload ( application ) per server and sizing the server to support worse case usage of that workload - this leads to low average utilisation of the servers. There are several approaches that can be taken to increasing the server utilisation

 

Consolidating several applications onto the same server that have different mixes of utilisation - this is not perfect as a problem on one application could impact the others on that server causing significant business impact

 

Deploying virtualisation within the DC - this enables multiple OS/App instances to be run on the same server. There are multiple benefits here in that the server utilisation increases whilst the number of servers could potentially be decreased so reducing the overall electrical power consumption of the DC and consequently the utility bill. Another aspect of virtualisation is that to achieve the highest levels of consolidation it is best to deploy the latest generation high perf/low power servers, this can result in the removal of many older generation high power servers from the Data Centre and the deployment of a smaller number of newer more power efficient servers

 

There are circumstances where virtualisation may not be appropriate and it is necesseary to retain one workload per server - in this case an increase in the workload capacity of a DC can be achieved by replacement of older smaller servers with the latest generation high performance servers - this can enable the workload capacity of a DC to be significantly increased without building a new DC, again the side benefit here is that latest generation servers consume less power than the older servers they are replacing.

 

There are many different ways in which the workload capacity ( and hence utilisation ) of a DC can be increased , with care most can also result in a reduction in the electrical power consumed by the DC.

 

Given the right tools the utilisation of servers within a DC is 'relatively' easy to measure, so this element of DC effectiveness can be quantified. There is another major element that I believe contributes to the effectiveness of a DC - that is the processes that are in place to manage the DC and hence the way a DC can respond to the new challenges placed on it by a business unit. Gartner have an infrastructure maturity model that is useful to try and quantify how effective a DC is in responding to business needs and looks at responsiveness, Service Level Agreements, IT processes etc. Currently I do not believe many DC managers are measuring how effective their DC in terms of process and when asked to judge where they sit within a model like Gartner's many IT managers will judge themselves more efficient than they really are.

 

Are there other areas that contribute to the efficiency of a DC - I would be interested in your feedback.

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In the second comment around the right time for datacenter refresh, I'd like to look at Costs. Power is covered in the comment from Chris and I covered some comments on Space already in the discussion forum. So what it really boils down to is cost of running your existing datacenter versus the costs of throwing the servers out and replacing them. It is clear also from the other comments, that it doesn't make sense to throw out servers which are utilized in average 15% and have them replaced by new servers, which are 5 times faster and utilize the servers 3%... Great achievement hu?... Server Refresh makes therefore most sense to do only when consolidating the environment. How do I consolidate the environment? By using virtualization. See Helmuts blog and the whole theme next week on that topic.

 

Therefore let's look at the real cost factors, when refreshing the servers:

 

  • Cost of new hardware: That is obviously a significant capital expenditure and starting at about 2000$ for a reasonable DP server. But the trick is also that a lot of server companies offer financing models which make this an operational expenditure. But key is also to understand, that by consolidating your servers at the same time the depreciation costs of the servers may actually decrease, as you have less hardware to depreciate!

  • Maintenance costs: Again, reducing the number of servers running given applications, and at the same time unifying the environment helps significantly to reduce the maintenance costs. This can be a significant step in unifying on a given OS or hardware platform.

  • Power consumption: Similar to utilization, it doesn't make sense to just look at the power consumption by server, but at the consumption by performance and therefore I can save about 38% in power bills, on a given workload vs. the previous generation hardware and about a 10th of the power of hardware which is 2-3years old. Again, obviously only, if I do this in combination of consolidating the servers. Trick often is, that those costs are often not taken into consideration, as those are not billed to the IT department but to the facilities group. So it becomes an executive decision to ensure they are looked at!.

  • Switching costs. Obviously very hard to measure, as this depends on the environment of the customer. And I talked to the customer who said: "No I will never touch this AS400 system, as it just runs and runs and runs." On the other hand I had a customer who replaced just those AS400 systems and saw huge synergistic effects, because he put the application on a standard based architecture and was able to finally integrate it in the other production system and therefore have one reporting and analytics tool.

 

I try to make a long story short. This is not something you do very often, but you don't get married every year either. But most of the time it's worth going through the efforts. So thinking about replacing the servers which are older than 2-3years is definitely worth while and often an effort which pays off in the first year!

 

 

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Agility in the Datacenter

Posted by Helmut Ott Nov 19, 2007

Since this is the first time I'm blogging on this web site, let me briefly introduce myself. I'm working at Intel since 1984 and started right after University to develop software mainly for the Industrial Automation Industry (way back with good old iRMX for Multibus I/II). After a couple of years of running IT for several Intel sales Offices in EMEA, I'm now running a team of Technical PreSales people to work with End Customers in the Enterprise space.

 

When working with End Customers in the IT space, we often hear about the requirements of reducing costs but at the same time being more agile. Particularly in the Datacenter this is important to achieve, in order to quickly adapt to changing business requirement and thus swiftly enabling business opportunity through IT. On the way to get to real Business Agility through IT, Gartner has defined the Infrastructure Maturity Model**. This consists of 6 stages with the ultimate goal to deliver Business Agility in almost real time. Before a company can get there however, one important stage is to get to a virtualized infrastructure.

 

 

In the storage area we have seen quite some progress in this space which has been adopted already in a lot of medium and large companies. On the server side, I can see server virtualization being one of the hot topics, which almost every company is looking into or even deploying currently in order to achieve this datacenter agility at least in the infrastructure area.

 

 

In the past, people typically have used virtualization at large SMP machines to better utilize those; more recently virtualization was used to consolidate (mostly older) servers/application onto 4 way Intel Architecture based Servers to avoid a zoo of different machines and OS Revisions IT has to support. However from the cost efficiency perspective, it is also appropriate to consider using 2-way servers in virtualization too. When we discuss this with end customers, we sometimes got the concern that the ratio of Memory/CPU-Core is not good enough. While we have a great deal of Processor performance, particularly through the Quad Core Technology, which is available in Intel's XeonTM Processors since more than a year now, the memory capacity at the DP machines could not always live up to the desired ratio. Recently however there are some new DP Servers on the market (i.e. the Sun Microsystems x4150, http://www.sun.com), which implemented the full specification of the memory interface providing up to 64GB of Memory for Dual Processor Server hosting 8 Cores altogether. While I can hear you saying already that this would need the most expensive Memory Modules (4GB ones), I can tell you, that I was pleasantly surprised about an offer I got recently from one of our suppliers to get the full 64GB, for one of our lab servers, for less than 5900Euros (8400 US$, as you see I coming from Europe). 32GB of Memory would have been just below 2100 Euros (2940US$, 2GB Modules). Obviously prices may vary, but I just wanted to give a ball park figure what the costs are for a DP server containing 4-8GB/Core Memory. So with these types of systems you should be easily able to expand your 4-way system virtualization pool at much reduced cost.

 

 

But don't get me wrong here, I'm not promoting that the complete server virtualization pool in a DC should only consist of 2-way systems, I just wanted to point out that with the decrease of cost of the higher density Memory modules and the increase in the number of Memory slots in Dual Processor server space, you have a nice option to select that server type, that fits the best to your needs. If you have for instance applications that need a lot of aggregated CPU Performance or a lot of I/O Performance you sure would be better off using a 4-way server. But I'm sure there will be a blog soon covering the considerations of using 2-way or 4-way servers in the virtualization space.

 

 

If you agree in my train of thoughts, one thing must appear as obvious to you. Analysis of the computing resources used by your current applications and capacity planning to meet the need of your future business is the key to success for your virtualization strategy. And here we come back to the Gartner model. As IT you can only become a business value, if you understand the business needs of your company.

 

 

When speaking about agility you obviously have to have the possibility to easily migrate a Virtual Machine from a 2-way System to a 4 way system. With the recent introduction of the Intel XeonTM 7300 processor based 4 way servers this is possible too. Xeon 5100/5300 processors are sharing the same micro-architecture (Intel CoreTM Architecture) as the 4-way servers (Xeon 7300 Processor), which means you can live migrate VMs from DP to MP systems very easily. This live migration is offered in the various management suites from Virtualization Software vendors. In VMware's ESX (http://www.vmware.com/products/server_virtualization.html) this is called vMotion, at Virtual Iron (http://www.virtualiron.com/solutions/virtual_infrastructure_management.cfm) for instance it is called LiveMigrate.

 

 

So those of you, who carefully read Intel's announcement, might rightfully save that all the above is true but now Intel introduced the new Xeon 5200/5400 series using still the same Intel CoreTM Micro architecture, but with an extended instruction set, particularly for the SSE instructions. ...and you are right. If an application uses these new instructions you cannot do a live migrate of a VM from, say a Xeon 5400, back to a Xeon 5300 based system. But here the Intel Architecture offers some hooks (technologies) to still make this possible. For VMware for instance we have implemented a new functionality called VT Flex Migration. Since ESX has such a long experience in the Virtualization of Intel Architecture, it still uses Binary translation for 32 Bit OSs instead of Intel's VT-x (the hardware supported Virtualization). In VT-x Intel offers to mask some CPU functionality so that the OS/Application, when running in a virtualized environment, only sees a certain instruction set and thus can easily be live migrated from a Xeon 5400 to a Xeon 5300 Processor based system. So VMMs like for instance Virtual Iron or Xen (http://www.xensource.com/) may use this feature because they require VT-x. In order to enable the same functionality in ESX, Intel worked closely with VMware and implemented a hardware hook for VMware to allow even in Binary Translation (meaning outside VT-x) to mask certain capabilities (here SSE4) to be seen by the OS, hence making sure the OS uses only those instructions also available in Xeon 5100/5300/7300 Processors.

 

 

With this in mind you can setup a very powerful combination of 2-way and 4-way Intel Architecture servers being able to be shared in a virtualized Server pool and allowing live migration between them as the basis for a flexible and agile infrastructure. What you need on top of this now is the Management Software orchestrating the use of this server pool. Those are products like VMware's Infrastructure 3 or their Management and Automation tools such as Virtual Center. At Virtual Iron for instance this would be their Virtualization Manager. Those tools allow you to set rules and policies to automatically react on changes in the virtualization pool, such as a change of CPU load or memory requirements, to allow an automated move of VMs between the servers to still fulfill SLAs.

 

 

So I hope I was able to share my view of an agile infrastructure in the Datacenter, I realize that this is quite a hardware centric view of it, but after all I still work for Intel and server system oriented topics are the majority of my job.

 

 

I'm looking forward to hear your opinion or questions about it.

 

 

Best regards,

 

 

Helmut

 

 

 

 

 

*Other brands may be claimed as the property of others

 

 

**Source: Gartner, Inc. "Infrastructure Maturity Model," by Tom Bittman. Gartner Data Center Summit, 2006.

 

 

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Watt do you care about more?

the Power Consumption of your servers (watts) or the Power Efficiency of your servers (performance / watt)

... or maybe you prefer the Performance per Watt per SqFt argument

 

 

 

I have spent a lot of my time the last several years discussing this topic with IT professionals around the world - and there are a lot of varying opinions.

 

 

I believe that Performance per Watt is a better measure of overall value for the data center and server room.

The power consumed by a server is an important measure, but power only comparisons can be misleading.

 

 

Example: If server ‘A' consumes 50W less power than server ‘B', then it can save IT $79 per year per server in power and cooling costs (assumes $0.08 kW/hr power costs and cooling costs equal to power costs). Scale that $79 savings per server across a data center with thousands of servers and it can be a pretty impressive number.

 

 

However, if a server with 50W lower power delivers lower application performance ... is the power savings worth it? The answer of course depends ... but generally in my experience the answer is a resounding No.

 

 

Example: What if server A (the 50W lower power server) underperforms server B by 33% in performance. This means that you need to deploy more ‘A' Servers to get the same performance as ‘B' Servers. In fact, with a 33% performance advantage, you need only 3 ‘B' servers for every 4 ‘A' servers. The higher performance per Watt delivered by server B reduces acquisition costs, reduces power consumption (less servers) and minimizes space and eases manageability. This example is shown graphically above

 

 

What do you think? What power and performance metrics do you look at before purchasing servers

... Lower Power or Higher Performance per Watt?

 

 

 

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Data Center Efficiency

Posted by Lorie Wigle Nov 14, 2007

Over the past months, you have likely heard about the challenges that data centers in the U.S. and world wide are facing. Energy costs - typically around 10% of an IT budget-could account for 50% of the average IT budget in just a few years.1 59% of ITs cite power and cooling as a growth limiter. 2 While those challenges may seem daunting, Intel sees many opportunities to improve energy efficiency in nearly every aspect of data center operation that consumes power.

 

Intel's recently announced Harpertown processors, based on 45nm technology, go a long way toward helping address the issues data centers are facing. Because they deliver up to 2X the performance-per-watt of prior Intel® Dual-Core processors in the same power envelope in the same socket, Intel Xeon® processor 5400 series enables a data center to double its compute capacity or maintain its current compute capacity using half the number of servers. Either way, the energy efficient performance improvements that are delivered are quite impressive.

 

 

What is often lost in the discussion of processor power and performance is the fact that they are small but important part of a larger data center system. This system is comprised of the IT equipment (servers, networking, and storage) as well as non-IT support equipment (power delivery, cooling and air handling, and other environmental controls). By looking at the data center holistically, IT organizations can better manage increased compute demands, lower their energy costs and reduce total cost of ownership.

 

 

The IT industry, driven by the work of groups such as The Green Grid, is developing a series of metrics to assess data center efficiency as the ratio of useful work output divided by total power consumed by the entire facility3. This holistic view of where the energy is being used has identified large energy efficiency gains in the operational practices of getting power to the IT equipment, where in many cases as little as 50% of the energy is going to the IT equipment.

 

 

There are number of approaches to increase data center efficiency based on this holistic view, and they vary widely in terms of investment required and energy savings. In addition to our energy efficient processors and systems, Intel is working collaboratively with industry partners and government organizations to accelerate development and adoption of technologies, products and best practices that can improve data center operations. Examples of options to consider include:

 

 

  • Purchasing higher efficiency power supplies and mother board components

  • Installing higher efficiency Uninterruptible Power Supplies and other power conversion equipment

  • Monitoring energy consumption and environmental conditions to develop operational energy policies

  • Employing Virtualization to increase utilization and consolidate servers in ratios up to 30:1

  • Use of hot & cold aisle layouts and floor vent tiles to prevent hot air from mixing with cold air

  • For a more detailed list of ways to increase the efficiency of your data center, click here

 

How well do you understand the total energy consumption and efficiency of your IT facility? It's likely that there are a number of ways that you can improve your operations to handle the increasing rack densities and growing demand for compute capacity - and make the CFO happy because the power bill goes down as well...

 

1. Source: Gartner, May 2007

2. Intel DC Users Group 06

3. The Green Grid Data Center Power Efficiency Metric. http://www.thegreengrid.org/gg_content/TGG_Data_Center_Power_Efficiency_Metrics_PUE_and_DCiE.pdf

 

 

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Eco-Technology - what does this term mean and why would Intel use it instead of "Green Computing" or something more common?

 

Moore's Law gives us the ability to deliver more performance and greater energy efficiency with each generation of microprocessors - and reducing the energy consumption of our products is far and away the biggest impact Intel can have on carbon footprint.

 

We recently completed an analysis of a high-performance computing configuration that was originally deployed in 2002 (coming in at number 17 in the Top500 Supercomputer list for that year) and is still in use today. This configuration consists of 512 servers fit out into 25 racks using 128 kW and delivers 3.68 TFlops peak on the LINPACK benchmark. Today, that cluster could be replaced with a single rack of roughly 53 blade servers drawing 21 kW and still giving us that 3.7 TFlops of performance (Energy efficiency in the data center). More on whether that level of density is appropriate for everyone later.....

 

 

Think of the incredible increase in productivity - and new innovations - that have been made possible by this phenomenal growth in compute capacity. The explosion of information that's available at our fingertips and the evolution of many aspects of our global economy to bits instead of physical materials.

 

 

And that's really the point of "Eco-Technology" which is defined as an "eco-sensitive" approach to technology that takes into consideration sustainability in both manufacture and end-use of technology.

 

 

So we're increasing both the energy efficiency of our products and we're eliminating potentially harmful materials such as lead and halogen from our manufacturing, but we're also as an industry continuing to contribute to productivity and transformation. Both are important.

 

As companies explore their IT Sustainability programs and we all work to define what green computing should mean, what are your thoughts on how to balance the imperative to do more work, deliver more business value with the rising costs of energy and our collective desire to slow climate change? The US Environmental Protection Agency is contemplating Energy Star for servers. If you were in charge, what criteria would you use to award the label?

 

 

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