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Maria Korolov
Contributing writer

5 ways to boost server efficiency

Feature
Jul 05, 20239 mins
Data CenterGreen ITServers

Right-sizing workloads, upgrading to newer servers, and managing power consumption can help enterprises reach their data center sustainability goals.

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IT is under greater pressure to address energy efficiency in the data center, particularly as global regulations aimed at sustainability come into play. A key area of focus is improving server efficiency.

Servers can consume more than half of the energy in modern data centers, which makes server efficiency attractive to companies looking to hit carbon-neutral sustainability targets. Plus, reducing energy usage can save money.

“Ever-larger data centers have mushroomed across the globe in line with an apparently insatiable demand for computing and storage capacity,” said Uptime Institute in its 2023 data center predictions report. “The associated energy use is not only expensive – and generating massive carbon emissions – but is also putting pressure on the grid.”

To help enterprises reach their energy-efficiency goals, Uptime Institute has identified five ways to boost server efficiency:

  1. Upgrade to a newer server generation. For decades, server energy efficiency has consistently improved thanks to improved efficiency of processors that power them.
  2. Pick servers with high compute capacity. This is measured in number of transactions per second. Those are the most energy efficient.
  3. Go for high core count. In general, efficiency improves with the number of cores, although there is some tapering off at the highest end.
  4. Be aware of power-consumption tradeoffs. While a server can be more energy efficient, its actual overall power consumed (Watts) can increase even as its efficiency (transactions per second per Watt) increases.
  5. Embrace power-management features. This can be done in two ways: by reducing core CPU voltage and frequency as utilization increases, and by moving unneeded cores to idle state.

Strategies for more efficient server utilization

For its analysis, Uptime focused on servers that use AMD EPYC or Intel Xeon processors, and it examined server generations from 2017, 2019, and 2021 using data from The Green Grid’s SERT database (additional details on the SERT data can be found at the end of the article). Here’s more on the firm’s guidelines to help enterprises analyze and understand the potential for server efficiency improvements.

Jump two server generations for a major energy efficiency boost

Older servers are less energy efficient than new ones, says Jay Dietrich, Uptime Institute’s research director of sustainability. For example, Intel servers’ efficiency improved by 34% between 2017 and 2019 for CPUs running at 50% utilization, according to a recent report he co-authored. And AMD-based servers saw a whopping 140% improvement, he says.

Upgrading from 2019 to 2021 CPU-based servers will increase efficiency by 32% for Intel servers, and by 47% for AMD servers. The improved efficiency numbers cut across all levels of utilization.

When comparing AMD and Intel servers, Intel servers were more efficient in 2017 at all levels of CPU utilization, but since 2019 AMD has leapt ahead. With 2021 servers running at 50% utilization, the average AMD server is 74% more efficient than an Intel.

Underused servers hamper performance

Just like a car idling in traffic, servers that aren’t running at full capacity are just wasting energy.

According to a 2022 Uptime Institute data-center survey, only 47% of companies got 50% or better server utilization, up from 36% in 2020. Those numbers might be inflated some because companies that responded may have reported just their best-performing servers—for example those only running batch jobs, which might push utilization as high as 80%, Dietrich says.

Utilization rates in general, though, would likely be lower because many applications don’t run consistently. Business and enterprise software, for example, are used heavily during working hours but much less after hours. The utilization of servers can be increased by having the ones hosting business apps run less time-sensitive workloads during off-peak hours.

The effort is worth it. Doubling low CPU utilization (20% to 30%) to higher levels of (40% to 60%) can boost average efficiency dramatically, Uptime says.

For maximum impact, companies should look at increasing utilization while also upgrading servers to the latest models. According to Uptime, combining increased utilization with a server refresh, efficiency can more than double. That means an increase of 100% or more in workload processed for the same amount of energy. When done at scale, this can result in significant capital and operational savings, reduce energy requirements, and improve sustainability performance.

On the flip side, directly replacing a legacy server with a higher capacity one without also increasing the legacy workload actually reduces utilization rates, says Dietrich, thereby undoing some of the benefits of the upgrade.

It takes additional planning to increase utilization while also doing a hardware upgrade, but the result is not just better efficiency, but possibly fewer servers because the necessary number of new machines may be less.

Load up more powerful servers

Buying more powerful hardware can also result in better energy efficiency. But capacity needs to be put to work. Without a major workload consolidation, the business case to upgrade old servers remains dubious, Uptime warned. “Newer generation servers tend to only deliver major efficiency gains when they carry larger workloads. A simple one-to-one machine migration may result in little to no efficiency improvement,” Uptime warned.

For AMD servers in particular, efficiency improves sharply as server work capacity increases. Upgrading from a low-end server that handles two million SSJs to a high-end server that can do more than eight million can double server efficiency. For Intel servers, there are still efficiency benefits, though they are less dramatic, Uptime says.

Increase server cores to improve efficiency

Another way to improve efficiency dramatically is increasing the number of processor cores. In the case of 2021 AMD servers, as the number of server cores increases from eight to 64, the efficiency triples, Uptime found. For Intel, the increase was less but still significant for 2021 machines.

It’s important to note that not all workloads are capable of using all available cores, says Dietrich. “Some workloads will work most efficiently on, say, a 12-core processor,” he says. So it’s important to match processors’ ability with the needs of the applications running on the server in order to gain the most efficiency.

In some cases, hypervisors and virtual machines can be used to maximize usage, he says, but not all applications lend themselves to these environments.

IT power management is often overlooked

Power-management features of servers can improve the energy-efficiency equation, according to Uptime’s research, boosting server efficiency by at least 10%. The way this works is that CPU voltage and frequency can be increased or decreased, and unused cores can move into a low-power idle state. Many organizations don’t use these features, however, because of performance worries or latency issues.

According to the Uptime Institute report, power management can increase latency by 20 to 80 microseconds, which is unacceptable for some types of workloads, such as financial trading. “And there are some applications where you might decide not to use it because it will cause performance or response time problems,” Dietrich says. But there are other applications where delays won’t have a business impact.

“The biggest mistake is that some operators are risk averse,” Dietrich says. “They think that if they’re going to save a couple of hundred bucks a server on their energy bill but are risking breaking their SLA which will cost them a million dollars, they’re not going to turn [power management] on.”

Dietrich recommends that when companies buy new servers and run their performance tests, make sure they test whether power management affects the applications adversely or not. “If it doesn’t bother them, then you can use power management,” he says. “You can implement a set of power-management functions that will let you save energy and still provide response time and performance that your customers want.”

Andy Lawrence, executive director of research at Uptime, noted in a blog post that the efficiency benefits of IT power management are well established and understood, yet few operators use it. “IT power management has long been overlooked as a means of improving data center efficiency,” Lawrence wrote. “Uptime Intelligence’s data shows that in most cases, concerns about IT performance are far outweighed by the reduction in energy use. Managers from both IT and facilities will benefit from analyzing the data, applying it to their use cases and, unless there are significant technical and performance issues, using power management as a default.”

How Uptime measured server efficiency

Uptime analyzed the efficiency of 429 server platforms using The Green Grid’s Server Efficiency Rating Tool (SERT) database. The Green Grid is a consortium whose goal is to create tools, provide technical expertise, and advocate for energy and resource efficiency in data center environments.

The SERT suite is an industry standard for measuring server efficiency; mandatory server efficiency requirements set by the EU’s Ecodesign Directive and the US Energy Star program specify that servers report the SERT overall efficiency metric.

Uptime analyzed AMD and Intel server data from the SERT database, noting that different processor types have advantages and disadvantages depending on the workload. Uptime focused on servers that use AMD EPYC or Intel Xeon processors, and analyzed server generations from 2017, 2019, and 2021.

The institute ran the servers through their paces with a simulated enterprise online transaction-processing application that stresses processors and memory. That simulation is the SERT worklet server-side Java (SSJ). Uptime says it was chosen in part because SSJ data is available for eight levels (rather than just four levels) of server utilization (12.5%, 25%, 37.5%, 50%, 62.5%, 75%, 87.5% and 100%), which allows for a more granular analysis.