The green data center
Traditional data centers consume large amounts of power and other resources (such as cooling water). Since data center capacity is set to continue growing, the pressure is on for businesses and service providers to be good environmental citizens and reduce the resource footprints of their facilities.
The Green Grid-inspired PUE metric, now widely used and quoted, has focused attention on power efficiency, with state-of-the-art data centers now operating at a PUE of around 1.1 — that is, a DCiE (Data Center Infrastructure Efficiency) of 90.9 percent.
Trends noted earlier such as the move from traditional on-premise data centers (with low server utilisation) to modern cloud facilities (with high server utilisation), the increasing use of low-power microservers and solid-state (or hybrid) storage, plus power-efficient modular data centers such as HP's POD 240a (dubbed the 'EcoPOD') will all make for more power-efficient data centers. Another initiative, the Facebook-inspired Open Compute Project, which promotes simplified open-source server and other IT infrastructure designs, may also contribute to improved data center power efficiency in due course, although it's still early days for this intiative.
Data center location can be a crucial consideration when it comes to environmental credentials. Last year, for example, ZDNet visited a modular data center in Iceland, for which operator Verne Global has secured a long-term, low-cost, 100 percent green (renewable hydroelectric/geothermal) electricity supply. Iceland's climate also makes it possible to use free cooling — using outside air to cool the IT equipment rather than installing power-consuming chiller units.
Some data center cooling schemes verge on the exotic. Intel, for example, has experimented with submerging servers in vats of mineral oil (see this video). Other more conventional ideas from Intel are summarised in this infographic:
Data Center Infrastructure Management (DCIM)
In order to run an IT operation efficiently and make informed decisions about future data center capacity, you need current and predicted data on the range of application workloads in your business, their capacity requirements and the comparative costs of running them on-premise, in the public cloud or as a hybrid solution. Otherwise you run the risk of over-provisioning and wasting money, or under-provisioning and suffering performance bottlenecks or outages. Both are undesirable and, for the IT manager, job-threatening outcomes.
The tools that help you gather and interpret these data go under the general heading of Data Center Infrastructure Management (DCIM). This is a recent and rapidly evolving sector with solutions ranging from those that concentrate on managing the data center's physical infrastructure (IT hardware, power and cooling systems, and so on), to more sophisticated solutions that not only provide an overview of the physical, virtual and cloud infrastructure but also offer predictive analytics and 'what-if' scenario planning. This latter category is sometimes called DCPM (Data Center Predictive Modelling).
Forrester Research's 2012 market overview of DCIM solutions identifies eight core functions: inventory and discovery; maintenance and change control; data collection; consolidated monitoring and display dashboard; alerts; control; trend analysis; and the ability to model future solutions for implementation. Emerging functions identified by Forrester are: power planning and capacity based on actual, not rated, usage; workload-aware modelling; network capacity modelling; and integration of DCIM with conventional IT management tools.
Forrester identifies three groups of DCIM vendors: Data center facility and infrastructure vendors (example: Emerson); IT management vendors (example: CA Technologies); and Systems hardware vendors (example: HP).