Центр обработки данных: устройство и эволюция

Building or room used to house computer servers and related equipment

A data center (American English) or data centre (Commonwealth English) 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 small 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. 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.

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. 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. Basic design guidelines for controlling access to the computer room were therefore devised. During the boom of the microcomputer industry, and especially during 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. A boom of data centers came during the dot com bubble of 1997–2000. 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." Data centers typically cost a lot to build and maintain.

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. 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. By 2018 concern had shifted once again, this time to the age of the staff: "data center staff are aging faster than the equipment."

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.

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. 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.

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.

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 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.

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.

Air flow management addresses the need to improve data center computer cooling efficiency by preventing the recirculation of hot air exhausted from IT equipment and reducing bypass airflow. There are several methods of separating hot and cold airstreams, such as hot/cold aisle containment and in row cooling units.

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.

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 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.

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", They also said that lifecycle emissions should be considered, that is including embodied emissions, such as in buildings. 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.

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. 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.

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. 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. Cooling it at or below wastes money and energy. 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.

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.

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 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.

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.

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.

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.

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.

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".

For quick deployment or 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 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.