data center

A data center is a building, a dedicated space within a building, or a group of buildings used to house computer systems and associated components, such as telecommunications and storage systems.

Since IT operations are crucial for business continuity, it generally includes redundant or backup components and infrastructure for power supply, data communication connections, environmental controls (e.g., air conditioning, fire suppression), and various security devices. A large data center is an industrial-scale operation using as much electricity as a medium town. Estimated global data center electricity consumption in 2022 was 240–340  TWh, or roughly 1–1.3% of global electricity demand. This excludes energy used for cryptocurrency mining, which was estimated to be around 110 TWh in 2022, or another 0.4% of global electricity demand. The IEA projects that data center electric use could double between 2022 and 2026. High demand for electricity from data centers, including by cryptomining and artificial intelligence, has also increased strain on local electric grids and increased electricity prices in some markets.

Data centers can vary widely in terms of size, power requirements, redundancy, and overall structure. Four common categories used to segment types of data centers are onsite data centers, colocation facilities, hyperscale data centers, and edge data centers. In particular, colocation centers often host private peering connections between their customers, internet transit providers, cloud providers, meet-me rooms for connecting customers together Internet exchange points, and landing points and terminal equipment for fiber optic submarine communication cables, connecting the internet.

History

Data centers have their roots in the huge computer rooms of the 1940s, typified by ENIAC, one of the earliest examples of a data center.Old large computer rooms that housed machines like the U.S. Army's ENIAC, which were developed pre-1960 (1945), are now referred to as ''data centers''. Early computer systems, complex to operate and maintain, required a special environment in which to operate. Many cables were necessary to connect all the components, and methods to accommodate and organize these were devised such as standard racks to mount equipment, raised floors, and cable trays (installed overhead or under the elevated floor). A single mainframe required a great deal of power and had to be cooled to avoid overheating. Security became important – computers were expensive, and were often used for military purposes.Until the early 1960s, it was primarily the government that used computers, which were large mainframes housed in rooms that today we call data centers. Basic design guidelines for controlling access to the computer room were therefore devised.

During the microcomputer industry boom of the 1980s, users started to deploy computers everywhere, in many cases with little or no care about operating requirements. However, as information technology (IT) operations started to grow in complexity, organizations grew aware of the need to control IT resources. The availability of inexpensive networking equipment, coupled with new standards for the network structured cabling, made it possible to use a hierarchical design that put the servers in a specific room inside the company. The use of the term ''data center'', as applied to specially designed computer rooms, started to gain popular recognition about this time.In the 1990s, network-connected minicomputers ( servers) running without input or display devices were housed in the old computer rooms. These new "data centers" or "server rooms" were built within company walls, co-located with low-cost networking equipment.

A boom of data centers came during the dot-com bubble of 1997–2000.There was considerable construction of data centers during the early 2000s, in the period of expanding dot-com businesses. Companies needed fast Internet connectivity and non-stop operation to deploy systems and to establish a presence on the Internet. Installing such equipment was not viable for many smaller companies. Many companies started building very large facilities, called internet data centers (IDCs), which provide enhanced capabilities, such as crossover backup: "If a Bell Atlantic line is cut, we can transfer them to ... to minimize the time of outage."

The term cloud data centers (CDCs) has been used. Increasingly, the division of these terms has almost disappeared and they are being integrated into the term ''data center''.

The global data center market saw steady growth in the 2010s, with a notable acceleration in the latter half of the decade. According to Gartner, worldwide data center infrastructure spending reached $200 billion in 2021, representing a 6% increase from 2020 despite the economic challenges posed by the COVID-19 pandemic.

The latter part of the 2010s and early 2020s saw a significant shift towards AI and machine learning applications, generating a global boom for more powerful and efficient data center infrastructure. As of March 2021, global data creation was projected to grow to more than 180 zettabytes by 2025, up from 64.2 zettabytes in 2020.

The United States is currently the foremost leader in data center infrastructure, hosting 5,381 data centers as of March 2024, the highest number of any country worldwide. According to global consultancy McKinsey & Co., U.S. market demand is expected to double to 35 gigawatts (GW) by 2030, up from 17 GW in 2022. As of 2023, the U.S. accounts for roughly 40 percent of the global market.

A study published by the Electric Power Research Institute (EPRI) in May 2024 estimates U.S. data center power consumption could range from 4.6% to 9.1% of the country's generation by 2030. As of 2023, about 80% of U.S. data center load was concentrated in 15 states, led by Virginia and Texas.

Requirements for modern data centers

Modernization and data center transformation enhances performance and energy efficiency.

Information security is also a concern, and for this reason, a data center has to offer a secure environment that minimizes the chances of a security breach. A data center must, therefore, keep high standards for assuring the integrity and functionality of its hosted computer environment.

Industry research company International Data Corporation (IDC) puts the average age of a data center at nine years old. Gartner, another research company, says data centers older than seven years are obsolete. The growth in data (163 zettabytes by 2025) is one factor driving the need for data centers to modernize.

Focus on modernization is not new: concern about obsolete equipment was decried in 2007, and in 2011 Uptime Institute was concerned about the age of the equipment therein.In May 2011, data center research organization Uptime Institute reported that 36 percent of the large companies it surveyed expect to exhaust IT capacity within the next 18 months. By 2018 concern had shifted once again, this time to the age of the staff: "data center staff are aging faster than the equipment."

Meeting standards for data centers

The Telecommunications Industry Association's Telecommunications Infrastructure Standard for Data Centers specifies the minimum requirements for telecommunications infrastructure of data centers and computer rooms including single tenant enterprise data centers and multi-tenant Internet hosting data centers. The topology proposed in this document is intended to be applicable to any size data center.

Telcordia GR-3160, ''NEBS Requirements for Telecommunications Data Center Equipment and Spaces'', provides guidelines for data center spaces within telecommunications networks, and environmental requirements for the equipment intended for installation in those spaces. These criteria were developed jointly by Telcordia and industry representatives. They may be applied to data center spaces housing data processing or Information Technology (IT) equipment. The equipment may be used to:
* Operate and manage a carrier's telecommunication network
* Provide data center based applications directly to the carrier's customers
* Provide hosted applications for a third party to provide services to their customers
* Provide a combination of these and similar data center applications

Data center transformation

Data center transformation takes a step-by-step approach through integrated projects carried out over time. This differs from a traditional method of data center upgrades that takes a serial and siloed approach. The typical projects within a data center transformation initiative include standardization/consolidation, virtualization, automation and security.
* Standardization/consolidation: Reducing the number of data centers and avoiding ''server sprawl'' (both physical and virtual) often includes replacing aging data center equipment, and is aided by standardization.
* Virtualization: Lowers capital and operational expenses, reduces energy consumption. Virtualized desktops can be hosted in data centers and rented out on a subscription basis. Investment bank Lazard Capital Markets estimated in 2008 that 48 percent of enterprise operations will be virtualized by 2012. Gartner views virtualization as a catalyst for modernization.
* Automating: Automating tasks such as provisioning, configuration, patching, release management, and compliance is needed, not just when facing fewer skilled IT workers.
* Securing: Protection of virtual systems is integrated with the existing security of physical infrastructures.

Raised floor

A raised floor standards guide named GR-2930 was developed by Telcordia Technologies, a subsidiary of Ericsson.

Although the first raised floor computer room was made by IBM in 1956, and they've "been around since the 1960s", it was the 1970s that made it more common for computer centers to thereby allow cool air to circulate more efficiently.

The first purpose of the raised floor was to allow access for wiring.

Lights out

The ''lights-out'' data center, also known as a darkened or a dark data center, is a data center that, ideally, has all but eliminated the need for direct access by personnel, except under extraordinary circumstances. Because of the lack of need for staff to enter the data center, it can be operated without lighting. All of the devices are accessed and managed by remote systems, with automation programs used to perform unattended operations. In addition to the energy savings, reduction in staffing costs and the ability to locate the site further from population centers, implementing a lights-out data center reduces the threat of malicious attacks upon the infrastructure.

Noise levels

Generally speaking, local authorities prefer noise levels at data centers to be "10 dB below the existing night-time background noise level at the nearest residence."

OSHA regulations require monitoring of noise levels inside data centers if noise exceeds 85 decibels. The average noise level in server areas of a data center may reach as high as 92-96 dB(A).

Residents living near data centers have described the sound as "a high-pitched whirring noise 24/7", saying "It's like being on a tarmac with an airplane engine running constantly ... Except that the airplane keeps idling and never leaves."

External sources of noise include HVAC equipment and energy generators.

Data center design

The field of data center design has been growing for decades in various directions, including new construction big and small along with the creative re-use of existing facilities, like abandoned retail space, old salt mines and war-era bunkers.
* a 65-story data center has already been proposed
* the number of data centers as of 2016 had grown beyond 3 million USA-wide, and more than triple that number worldwide

Local building codes may govern the minimum ceiling heights and other parameters. Some of the considerations in the design of data centers are:

* Size - one room of a building, one or more floors, or an entire building;
* Capacity - can hold up to or past 1,000 servers;
* Other considerations - Space, power, cooling, and costs in the data center;
* Mechanical engineering infrastructure - heating, ventilation and air conditioning ( HVAC); humidification and dehumidification equipment; pressurization;
* Electrical engineering infrastructure design - utility service planning; distribution, switching and bypass from power sources; uninterruptible power source (UPS) systems; and more.

Design criteria and trade-offs

* Availability expectations: The costs of avoiding downtime should not exceed the cost of the downtime itself
* Site selection: Location factors include proximity to power grids, telecommunications infrastructure, networking services, transportation lines and emergency services. Other considerations should include flight paths, neighboring power drains, geological risks, and climate (associated with cooling costs).
** Often, power availability is the hardest to change.

High availability

Various metrics exist for measuring the data-availability that results from data-center availability beyond 95% uptime, with the top of the scale counting how many ''nines'' can be placed after ''99%''.

Modularity and flexibility

Modularity and flexibility are key elements in allowing for a data center to grow and change over time. Data center modules are pre-engineered, standardized building blocks that can be easily configured and moved as needed.

A modular data center may consist of data center equipment contained within shipping containers or similar portable containers. Components of the data center can be prefabricated and standardized which facilitates moving if needed.

Electrical power

Backup power consists of one or more uninterruptible power supplies, battery banks, and/or diesel / gas turbine generators.

To prevent single points of failure, all elements of the electrical systems, including backup systems, are typically given redundant copies, and critical servers are connected to both the ''A-side'' and ''B-side'' power feeds. This arrangement is often made to achieve N+1 redundancy in the systems. Static transfer switches are sometimes used to ensure instantaneous switchover from one supply to the other in the event of a power failure.

Low-voltage cable routing

Options include:
* Data cabling can be routed through overhead cable trays
* Raised floor cabling, both for security reasons and to avoid the extra cost of cooling systems over the racks.
* Smaller/less expensive data centers may use anti-static tiles instead for a flooring surface.

Airflow and environmental control

Airflow management is the practice of achieving data center cooling efficiency by preventing the recirculation of hot exhaust air and by reducing bypass airflow. Common approaches include hot-aisle/cold-aisle containment and the deployment of in-row cooling units which position cooling directly between server racks to intercept exhaust heat before it mixes with room air.

Maintaining suitable temperature and humidity levels is critical to preventing equipment damage caused by overheating. Overheating can cause components, usually the silicon or copper of the wires or circuits to melt, causing connections to loosen, causing fire hazards. Typical control methods include:

* Air conditioning
* Indirect cooling, such as the use of outside air,Indirect systems can reduce or eliminate the need for mechanical chillers or conventional air conditioners, resulting in energy savings. Indirect Evaporative Cooling (IDEC) units, and seawater cooling.

Humidity control not only prevents moisture-related issues: importantly, excess humidity can cause dust to adhere more readily to fan blades and heat sinks, impeding air cooling leading to higher temperatures.

Aisle containment

Cold aisle containment is done by exposing the rear of equipment racks, while the fronts of the servers are enclosed with doors and covers. This is similar to how large-scale food companies refrigerate and store their products.
Computer cabinets/ Server farms are often organized for containment of hot/cold aisles. Proper air duct placement prevents the cold and hot air from mixing. Rows of cabinets are paired to face each other so that the cool and hot air intakes and exhausts don't mix air, which would severely reduce cooling efficiency.

Alternatively, a range of underfloor panels can create efficient cold air pathways directed to the raised-floor vented tiles. Either the cold aisle or the hot aisle can be contained.

Another option is fitting cabinets with vertical exhaust duct chimneys. Hot exhaust pipes/vents/ducts can direct the air into a Plenum space above a Dropped ceiling and back to the cooling units or to outside vents. With this configuration, traditional hot/cold aisle configuration is not a requirement.

Fire protection

Data centers feature fire protection systems, including passive and Active Design elements, as well as implementation of fire prevention programs in operations. Smoke detectors are usually installed to provide early warning of a fire at its incipient stage.

Although the main room usually does not allow Wet Pipe-based Systems due to the fragile nature of Circuit-boards, there still exist systems that can be used in the rest of the facility or in cold/hot aisle air circulation systems that are closed systems, such as:
* Sprinkler systems
* Misting, using high pressure to create extremely small water droplets, which can be used in sensitive rooms due to the nature of the droplets.
However, there also exist other means to put out fires, especially in Sensitive areas, usually using Gaseous fire suppression, of which Halon gas was the most popular, until the negative effects of producing and using it were discovere

Security

Physical access is usually restricted. Layered security often starts with fencing, bollards and mantraps. Video camera surveillance and permanent security guards are almost always present if the data center is large or contains sensitive information. Fingerprint recognition mantraps are starting to be commonplace.

Logging access is required by some data protection regulations; some organizations tightly link this to access control systems. Multiple log entries can occur at the main entrance, entrances to internal rooms, and at equipment cabinets. Access control at cabinets can be integrated with intelligent power distribution units, so that locks are networked through the same appliance.

Energy use

Energy use is a central issue for data centers. Power draw ranges from a few kW for a rack of servers in a closet to several tens of MW for large facilities. Some facilities have power densities more than 100 times that of a typical office building. For higher power density facilities, electricity costs are a dominant operating expense and account for over 10% of the total cost of ownership (TCO) of a data center.

Greenhouse gas emissions

In 2020, data centers (excluding cryptocurrency mining) and data transmission each used about 1% of world electricity. Although some of this electricity was low carbon, the IEA called for more "government and industry efforts on energy efficiency, renewables procurement and RD&D", as some data centers still use electricity generated by fossil fuels. They also said that lifecycle emissions should be considered, that is including ''embodied'' emissions, such as in buildings. Data centers are estimated to have been responsible for 0.5% of US greenhouse gas emissions in 2018. Some Chinese companies, such as Tencent, have pledged to be carbon neutral by 2030, while others such as Alibaba have been criticized by Greenpeace for not committing to become carbon neutral. Google and Microsoft now each consume more power than some fairly big countries, surpassing the consumption of more than 100 countries.

Energy efficiency and overhead

The most commonly used energy efficiency metric for data centers is power usage effectiveness (PUE), calculated as the ratio of total power entering the data center divided by the power used by IT equipment.

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PUE measures the percentage of power used by overhead devices (cooling, lighting, etc.). The average USA data center has a PUE of 2.0, meaning two watts of total power (overhead + IT equipment) for every watt delivered to IT equipment. State-of-the-art data centers are estimated to have a PUE of roughly 1.2. Google publishes quarterly efficiency metrics from its data centers in operation. PUEs of as low as 1.01 have been achieved with two phase immersion cooling.

The U.S. Environmental Protection Agency has an Energy Star rating for standalone or large data centers. To qualify for the ecolabel, a data center must be within the top quartile in energy efficiency of all reported facilities. The Energy Efficiency Improvement Act of 2015 (United States) requires federal facilities—including data centers—to operate more efficiently. California's Title 24 (2014) of the California Code of Regulations mandates that every newly constructed data center must have some form of airflow containment in place to optimize energy efficiency.

The European Union also has a similar initiative: EU Code of Conduct for Data Centres.

Energy use analysis and projects

The focus of measuring and analyzing energy use goes beyond what is used by IT equipment; facility support hardware such as chillers and fans also use energy.

In 2011, server racks in data centers were designed for more than 25 kW and the typical server was estimated to waste about 30% of the electricity it consumed. The energy demand for information storage systems is also rising. A high-availability data center is estimated to have a 1 megawatt (MW) demand and consume $20,000,000 in electricity over its lifetime, with cooling representing 35% to 45% of the data center's total cost of ownership. Calculations show that in two years, the cost of powering and cooling a server could be equal to the cost of purchasing the server hardware. Research in 2018 has shown that a substantial amount of energy could still be conserved by optimizing IT refresh rates and increasing server utilization. Research for optimizing task scheduling is also underway, with researchers looking to implement energy-efficient scheduling algorithms that could reduce energy consumption by anywhere between 6% to 44%.

In 2011, Facebook, Rackspace and others founded the Open Compute Project (OCP) to develop and publish open standards for greener data center computing technologies. As part of the project, Facebook published the designs of its server, which it had built for its first dedicated data center in Prineville. Making servers taller left space for more effective heat sinks and enabled the use of fans that moved more air with less energy. By not buying commercial off-the-shelf servers, energy consumption due to unnecessary expansion slots on the motherboard and unneeded components, such as a graphics card, was also saved. In 2016, Google joined the project and published the designs of its 48V DC shallow data center rack. This design had long been part of Google data centers. By eliminating the multiple transformers usually deployed in data centers, Google had achieved a 30% increase in energy efficiency. In 2017, sales for data center hardware built to OCP designs topped $1.2 billion and are expected to reach $6 billion by 2021.

Power and cooling analysis

Power is the largest recurring cost to the user of a data center. Cooling at or below wastes money and energy. Furthermore, overcooling equipment in environments with a high relative humidity can expose equipment to a high amount of moisture that facilitates the growth of salt deposits on conductive filaments in the circuitry.

A power and cooling analysis, also referred to as a thermal assessment, measures the relative temperatures in specific areas as well as the capacity of the cooling systems to handle specific ambient temperatures. A power and cooling analysis can help to identify hot spots, over-cooled areas that can handle greater power use density, the breakpoint of equipment loading, the effectiveness of a raised-floor strategy, and optimal equipment positioning (such as AC units) to balance temperatures across the data center. Power cooling density is a measure of how much square footage the center can cool at maximum capacity. The cooling of data centers is the second largest power consumer after servers. The cooling energy varies from 10% of the total energy consumption in the most efficient data centers and goes up to 45% in standard air-cooled data centers.

Energy efficiency analysis

An energy efficiency analysis measures the energy use of data center IT and facilities equipment. A typical energy efficiency analysis measures factors such as a data center's Power Use Effectiveness (PUE) against industry standards, identifies mechanical and electrical sources of inefficiency, and identifies air-management metrics. However, the limitation of most current metrics and approaches is that they do not include IT in the analysis. Case studies have shown that by addressing energy efficiency holistically in a data center, major efficiencies can be achieved that are not possible otherwise.

Computational Fluid Dynamics (CFD) analysis

This type of analysis uses sophisticated tools and techniques to understand the unique thermal conditions present in each data center—predicting the temperature, airflow, and pressure behavior of a data center to assess performance and energy consumption, using numerical modeling. By predicting the effects of these environmental conditions, CFD analysis of a data center can be used to predict the impact of high-density racks mixed with low-density racks and the onward impact on cooling resources, poor infrastructure management practices, and AC failure or AC shutdown for scheduled maintenance.

Thermal zone mapping

Thermal zone mapping uses sensors and computer modeling to create a three-dimensional image of the hot and cool zones in a data center.

This information can help to identify optimal positioning of data center equipment. For example, critical servers might be placed in a cool zone that is serviced by redundant AC units.

Green data centers

Data centers use a lot of power, consumed by two main usages: The power required to run the actual equipment and then the power required to cool the equipment. Power efficiency reduces the first category.

Cooling cost reduction through natural means includes location decisions: When the focus is avoiding good fiber connectivity, power grid connections, and people concentrations to manage the equipment, a data center can be miles away from the users. Mass data centers like Google or Facebook don't need to be near population centers. Arctic locations that can use outside air, which provides cooling, are becoming more popular.

Renewable electricity sources are another plus. Thus countries with favorable conditions, such as Canada, Finland, Sweden, Norway, and Switzerland are trying to attract cloud computing data centers.

Singapore lifted a three-year ban on new data centers in April 2022. A major data center hub for the Asia-Pacific region, Singapore lifted its moratorium on new data center projects in 2022, granting 4 new projects, but rejecting more than 16 data center applications from over 20 new data centers applications received. Singapore's new data centers shall meet very strict green technology criteria including "Water Usage Effectiveness (WUE) of 2.0/MWh, Power Usage Effectiveness (PUE) of less than 1.3, and have a "Platinum certification under Singapore's BCA-IMDA Green Mark for New Data Centre" criteria that clearly addressed decarbonization and use of hydrogen cells or solar panels.

Direct current data centers

Direct current data centers are data centers that produce direct current on site with solar panels and store the electricity on site in a battery storage power station. Computers run on direct current and the need for inverting the AC power from the grid would be eliminated. The data center site could still use AC power as a grid-as-a-backup solution. DC data centers could be 10% more efficient and use less floor space for inverting components.

Energy reuse

It is very difficult to reuse the heat which comes from air-cooled data centers. For this reason, data center infrastructures are more often equipped with heat pumps.

An alternative to heat pumps is the adoption of liquid cooling throughout a data center. Different liquid cooling techniques are mixed and matched to allow for a fully liquid-cooled infrastructure that captures all heat with water. Different liquid technologies are categorized in 3 main groups, indirect liquid cooling (water-cooled racks), direct liquid cooling (direct-to-chip cooling) and total liquid cooling (complete immersion in liquid, see server immersion cooling). This combination of technologies allows the creation of a thermal cascade as part of temperature chaining scenarios to create high-temperature water outputs from the data center.

Impact on electricity prices

Cryptomining and the artificial intelligence boom of the 2020s has also led to increased demand for electricity, that the IEA expects could double global overall data center demand for electricity between 2022 and 2026. The US could see its share of the electricity market going to data centers increase from 4% to 6% over those four years. Bitcoin used up 2% of US electricity in 2023. This has led to increased electricity prices in some regions, particularly in regions with lots of data centers like Santa Clara, California and upstate New York. Data centers have also generated concerns in Northern Virginia about whether residents will have to foot the bill for future power lines. It has also made it harder to develop housing in London. A Bank of America Institute report in July 2024 found that the increase in demand for electricity due in part to AI has been pushing electricity prices higher and is a significant contributor to electricity inflation.

Dynamic infrastructure

Dynamic infrastructure provides the ability to intelligently, automatically and securely move workloads within a data center anytime, anywhere, for migrations, provisioning, to enhance performance, or building co-location facilities. It also facilitates performing routine maintenance on either physical or virtual systems all while minimizing interruption. A related concept is Composable Infrastructure, which allows for the dynamic reconfiguration of the available resources to suit needs, only when needed.

Side benefits include
* reducing cost
* facilitating business continuity and high availability
* enabling cloud and grid computing.

Network infrastructure

Communications in data centers today are most often based on networks running the Internet protocol suite. Data centers contain a set of routers and switches that transport traffic between the servers and to the outside world which are connected according to the data center network architecture. Redundancy of the internet connection is often provided by using two or more upstream service providers (see Multihoming).

Some of the servers at the data center are used for running the basic internet and intranet services needed by internal users in the organization, e.g., e-mail servers, proxy servers, and DNS servers.

Network security elements are also usually deployed: firewalls, VPN gateways, intrusion detection systems, and so on. Also common are monitoring systems for the network and some of the applications. Additional off-site monitoring systems are also typical, in case of a failure of communications inside the data center.

Software/data backup

Non-mutually exclusive options for data backup are:
* Onsite
* Offsite

Onsite is traditional, and one of its major advantages is immediate availability.

Offsite backup storage

Data backup techniques include having an encrypted copy of the data offsite. Methods used for transporting data are:
* Having the customer write the data to a physical medium, such as magnetic tape, and then transporting the tape elsewhere.
* Directly transferring the data to another site during the backup, using appropriate links.
* Uploading the data "into the cloud".

Modular data center

For quick deployment or IT disaster recovery, several large hardware vendors have developed mobile/modular solutions that can be installed and made operational in a very short amount of time.

Micro data center

Micro data centers (MDCs) are access-level data centers which are smaller in size than traditional data centers but provide the same features. They are typically located near the data source to reduce communication delays, as their small size allows several MDCs to be spread out over a wide area. MDCs are well suited to user-facing, front end applications. They are commonly used in edge computing and other areas where low latency data processing is needed.

Data centers in space

Data centers in space is a proposed idea to place a data center in outer space in low Earth orbit. The theoretical advantages are that of space-based solar power, in addition to aiding in weather forecasting and weather prediction computation from weather satellites, and the ability to freely scale up.

Challenges include temperature fluctuations, cosmic rays, and micrometeorites.

See also

Notes

References

External links

* - Research, development, demonstration, and deployment of energy-efficient technologies and practices for data centers
* - FAQ: 380VDC testing and demonstration at a Sun data center.

White Paper
- Property Taxes: The New Challenge for Data Centers

The European Commission H2020 EURECA Data Centre Project
- Data centre energy efficiency guidelines, extensive online training material, case studies/lectures (under events page), and tools.

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Applications of distributed computing
Cloud storage
Computer networking

Data management
Distributed data storage systems
Distributed data storage
Heating, ventilation, and air conditioning
Servers (computing)
Infrastructure