The physical environment of a data center is rigorously controlled. "Air conditioning is used to control the temperature and humidity in the data center. "ASHRAE's "Thermal Guidelines for Data Processing Environments" recommends a temperature range of 18–27 °C (64–81 °F), a dew point range of −9 to 15 °C (16 to 59 °F), and ideal relative humidity of 60%, with an allowable range of 40% to 60% for data center environments. The temperature in a data center will naturally rise because the electrical power used heats the air. Unless the heat is removed, the ambient temperature will rise, resulting in electronic equipment malfunction. By controlling the air temperature, the server components at the board level are kept within the manufacturer's specified temperature/humidity range. Air conditioning systems help control "humidity by cooling the return space air below the "dew point. Too much humidity, and water may begin to "condense on internal components. In case of a dry atmosphere, ancillary humidification systems may add water vapor if the humidity is too low, which can result in "static electricity discharge problems which may damage components. Subterranean data centers may keep computer equipment cool while expending less energy than conventional designs.
Modern data centers try to use economizer cooling, where they use outside air to keep the data center cool. At least one data center (located in "Upstate New York) will cool servers using outside air during the winter. They do not use chillers/air conditioners, which creates potential energy savings in the millions. Increasingly indirect air cooling is being deployed in data centers globally which has the advantage of more efficient cooling which lowers power consumption costs in the data center. Many newly constructed data centers are also using Indirect Evaporative Cooling (IDEC) units as well as other environmental features such as sea water to minimize the amount of energy needed to cool the space.
Telcordia GR-2930, NEBS: Raised Floor Generic Requirements for Network and Data Centers, presents generic engineering requirements for raised floors that fall within the strict NEBS guidelines.
There are many types of commercially available floors that offer a wide range of structural strength and loading capabilities, depending on component construction and the materials used. The general types of "raised floors include stringer, stringerless, and structural platforms, all of which are discussed in detail in GR-2930 and summarized below.
- Stringered raised floors - This type of raised floor generally consists of a vertical array of steel pedestal assemblies (each assembly is made up of a steel base plate, tubular upright, and a head) uniformly spaced on two-foot centers and mechanically fastened to the concrete floor. The steel pedestal head has a stud that is inserted into the pedestal upright and the overall height is adjustable with a leveling nut on the welded stud of the pedestal head.
- Stringerless raised floors - One non-earthquake type of raised floor generally consists of an array of pedestals that provide the necessary height for routing cables and also serve to support each corner of the floor panels. With this type of floor, there may or may not be provisioning to mechanically fasten the floor panels to the pedestals. This stringerless type of system (having no mechanical attachments between the pedestal heads) provides maximum accessibility to the space under the floor. However, stringerless floors are significantly weaker than stringered raised floors in supporting lateral loads and are not recommended.
- Structural platforms - One type of structural platform consists of members constructed of steel angles or channels that are welded or bolted together to form an integrated platform for supporting equipment. This design permits equipment to be fastened directly to the platform without the need for toggle bars or supplemental bracing. Structural platforms may or may not contain panels or stringers.
Data centers typically have "raised flooring made up of 60 cm (2 ft) removable square tiles. The trend is towards 80–100 cm (31–39 in) void to cater for better and uniform air distribution. These provide a "plenum for air to circulate below the floor, as part of the air conditioning system, as well as providing space for power cabling.
Raised floors and other metal structures such as cable trays and ventilation ducts have caused many problems with "zinc whiskers in the past, and likely are still present in many data centers. This happens when microscopic metallic filaments form on metals such as zinc or tin that protect many metal structures and electronic components from corrosion. Maintenance on a raised floor or installing of cable etc. can dislodge the whiskers, which enter the airflow and may short circuit server components or power supplies, sometimes through a high current metal vapor "plasma arc. This phenomenon is not unique to data centers, and has also caused catastrophic failures of satellites and military hardware.
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 fully duplicated, 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
Data cabling is typically routed through overhead "cable trays in modern data centers. But some["who?] are still recommending under raised floor cabling for security reasons and to consider the addition of cooling systems above the racks in case this enhancement is necessary. Smaller/less expensive data centers without raised flooring may use anti-static tiles for a flooring surface. Computer cabinets are often organized into a "hot aisle arrangement to maximize airflow efficiency.
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. This allows investigation, interruption of power, and manual fire suppression using hand held fire extinguishers before the fire grows to a large size. An "active fire protection system, such as a "fire sprinkler system or a "clean agent fire suppression gaseous system, is often provided to control a full scale fire if it develops. High sensitivity smoke detectors, such as "aspirating smoke detectors, activating "clean agent fire suppression gaseous systems activate earlier than fire sprinklers.
- Sprinklers = structure protection and building life safety.
- Clean agents = business continuity and asset protection.
- No water = no collateral damage or clean up.
Passive fire protection elements include the installation of "fire walls around the data center, so a fire can be restricted to a portion of the facility for a limited time in the event of the failure of the active fire protection systems. Fire wall penetrations into the server room, such as cable penetrations, coolant line penetrations and air ducts, must be provided with fire rated penetration assemblies, such as "fire stopping.
Physical security also plays a large role with data centers. Physical access to the site is usually restricted to selected personnel, with controls including a layered security system often starting 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 on any of the systems within. The use of finger print recognition "mantraps is starting to be commonplace.
Energy use is a central issue for data centers. Power draw for data centers 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. By 2012 the cost of power for the data center is expected to exceed the cost of the original capital investment.
Greenhouse gas emissions
In 2007 the entire "information and communication technologies or ICT sector was estimated to be responsible for roughly 2% of global "carbon emissions with data centers accounting for 14% of the ICT footprint. The US EPA estimates that servers and data centers are responsible for up to 1.5% of the total US electricity consumption, or roughly .5% of US GHG emissions, for 2007. Given a business as usual scenario greenhouse gas emissions from data centers is projected to more than double from 2007 levels by 2020.
Siting is one of the factors that affect the energy consumption and environmental effects of a datacenter. In areas where climate favors cooling and lots of renewable electricity is available the environmental effects will be more moderate. Thus countries with favorable conditions, such as: Canada, Finland, Sweden, Norway  and Switzerland, are trying to attract cloud computing data centers.
In an 18-month investigation by scholars at Rice University's Baker Institute for Public Policy in Houston and the Institute for Sustainable and Applied Infodynamics in Singapore, data center-related emissions will more than triple by 2020. 
The most commonly used metric to determine the energy efficiency of a data center is "power usage effectiveness, or PUE. This simple ratio is the total power entering the data center divided by the power used by the IT equipment.
Total facility power consists of power used by IT equipment plus any overhead power consumed by anything that is not considered a computing or data communication device (i.e. cooling, lighting, etc.). An ideal PUE is 1.0 for the hypothetical situation of zero overhead power. The average data center in the US has a PUE of 2.0, meaning that the facility uses two watts of total power (overhead + IT equipment) for every watt delivered to IT equipment. State-of-the-art data center energy efficiency is estimated to be roughly 1.2. Some large data center operators like "Microsoft and "Yahoo! have published projections of PUE for facilities in development; "Google publishes quarterly actual efficiency performance from data centers in operation.
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 of energy efficiency of all reported facilities.
European Union also has a similar initiative: EU Code of Conduct for Data Centres
Energy use analysis
Often, the first step toward curbing energy use in a data center is to understand how energy is being used in the data center. Multiple types of analysis exist to measure data center energy use. Aspects measured include not just energy used by IT equipment itself, but also by the data center facility equipment, such as chillers and fans.
Power and cooling analysis
Power is the largest recurring cost to the user of a data center. 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.
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.
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 in the 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 of 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. The first category is addressed by designing computers and storage systems that are increasingly power-efficient. To bring down cooling costs data center designers try to use natural ways to cool the equipment. Many data centers are located near good fiber connectivity, power grid connections and also people-concentrations to manage the equipment, but there are also circumstances where the data center can be miles away from the users and don't need a lot of local management. Examples of this are the 'mass' data centers like Google or Facebook: these DC's are built around many standardized servers and storage-arrays and the actual users of the systems are located all around the world. After the initial build of a data center staff numbers required to keep it running are often relatively low: especially data centers that provide mass-storage or computing power which don't need to be near population centers.Data centers in arctic locations where outside air provides all cooling are getting more popular as cooling and electricity are the two main variable cost components.
Communications in data centers today are most often based on "networks running the "IP "protocol suite. Data centers contain a set of "routers and "switches that transport traffic between the servers and to the outside world. "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, etc. 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 center infrastructure management
"Data center infrastructure management (DCIM) is the integration of information technology (IT) and facility management disciplines to centralize monitoring, management and intelligent capacity planning of a data center's critical systems. Achieved through the implementation of specialized software, hardware and sensors, DCIM enables common, real-time monitoring and management platform for all interdependent systems across IT and facility infrastructures.
Depending on the type of implementation, DCIM products can help data center managers identify and eliminate sources of risk to increase availability of critical IT systems. DCIM products also can be used to identify interdependencies between facility and IT infrastructures to alert the facility manager to gaps in system redundancy, and provide dynamic, holistic benchmarks on power consumption and efficiency to measure the effectiveness of "green IT" initiatives.
It's important to measure and understand data center efficiency metrics. A lot of the discussion in this area has focused on energy issues, but other metrics beyond the PUE can give a more detailed picture of the data center operations. Server, storage, and staff utilization metrics can contribute to a more complete view of an enterprise data center. In many cases, disc capacity goes unused and in many instances the organizations run their servers at 20% utilization or less. More effective automation tools can also improve the number of servers or virtual machines that a single admin can handle.
DCIM providers are increasingly linking with "computational fluid dynamics providers to predict complex airflow patterns in the data center. The CFD component is necessary to quantify the impact of planned future changes on cooling resilience, capacity and efficiency.
Managing the capacity of a data center
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Several parameters may limit the capacity of a data center. For long term usage, the main limitations will be available area, then available power. In the first stage of its life cycle, a data center will see its occupied space growing more rapidly than consumed energy. With constant densification of new IT technologies, the need in energy is going to become dominant, equaling then overcoming the need in area (second then third phase of cycle). The development and multiplication of connected objects, the needs in storage and data treatment lead to the necessity of data centers to grow more and more rapidly. It is therefore important to define a data center strategy before being cornered. The decision, conception and building cycle lasts several years. Therefore, it is imperative to initiate this strategic consideration when the data center reaches about 50% of its power capacity. Maximum occupation of a data center needs to be stabilized around 85%, be it in power or occupied area. Resources thus managed will allow a rotation zone for managing hardware replacement and will allow temporary cohabitation of old and new generations. In the case where this limit would be overcrossed durably, it would not be possible to proceed to material replacements, which would invariably lead to smothering the information system. The data center is a resource in its own right of the information system, with its own constraints of time and management (life span of 25 years), it therefore needs to be taken into consideration in the framework of the SI midterm planning (between 3 and 5 years).
The main purpose of a data center is running the IT systems applications that handle the core business and operational data of the organization. Such systems may be proprietary and developed internally by the organization, or bought from "enterprise software vendors. Such common applications are "ERP and "CRM systems.
A data center may be concerned with just "operations architecture or it may provide other services as well.
Often these applications will be composed of multiple hosts, each running a single component. Common components of such applications are "databases, "file servers, "application servers, "middleware, and various others.
Data centers are also used for off site backups. Companies may subscribe to backup services provided by a data center. This is often used in conjunction with "backup tapes. Backups can be taken off servers locally on to tapes. However, tapes stored on site pose a security threat and are also susceptible to fire and flooding. Larger companies may also send their backups off site for added security. This can be done by backing up to a data center. Encrypted backups can be sent over the Internet to another data center where they can be stored securely.
For quick deployment or "disaster recovery, several large hardware vendors have developed mobile/modular solutions that can be installed and made operational in very short time. Companies such as
- "Cisco Systems,
- "Sun Microsystems ("Sun Modular Datacenter),
- "Bull (mobull),
- "IBM ("Portable Modular Data Center),
- "Schneider-Electric ("Portable Modular Data Center),
- "HP ("Performance Optimized Datacenter),
- "ZTE Corporation,
- "Huawei (Container Data Center Solution), and
- "Google ("Google Modular Data Center) have developed systems that could be used for this purpose.
- BASELAYER has a patent on the software defined modular data center.
US wholesale and retail colocation providers
According to data provided in the third quarter of 2013 by Synergy Research Group, "the scale of the wholesale colocation market in the United States is very significant relative to the retail market, with Q3 wholesale revenues reaching almost $700 million. "Digital Realty Trust is the wholesale market leader, followed at a distance by DuPont Fabros." Synergy Research also described the US colocation market as the most mature and well-developed in the world, based on revenue and the continued adoption of cloud infrastructure services.
- Estimates from Synergy Research Group's Q3 2013 data.
|Rank||Company name||US market share|
|9||"Level 3 Communications||3%|
- "Central apparatus room
- "Colocation center
- "Data center infrastructure management
- "Disaster recovery
- "Dynamic Infrastructure
- "Electrical network
- "Internet exchange point
- "Internet hosting service
- "Modular data center
- "Network operations center
- "Open Compute Project, by "Facebook
- "Server farm
- "Server room
- "Server Room Environment Monitoring System
- "Server sprawl
- "Sun Modular Datacenter
- "Telecommunications network
- "Utah Data Center
- "Web hosting service
- "Anderson Powerpole connector
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- Lawrence Berkeley Lab - Research, development, demonstration, and deployment of energy-efficient technologies and practices for data centers
- DC Power For Data Centers Of The Future - FAQ: 380VDC testing and demonstration at a Sun data center.
- DC Compendium - Repository and compendium of data centers globally.
- White Paper - Property Taxes: The New Challenge for Data Centers