In just a few years, the industry has moved from a series of interconnected storage rooms for products and systems (with parameter setting and control functions) to larger commercial operations, some of which are classified as large-scale facilities, with products and systems interwoven and distributed in multiple locations.
In a recent report, IDG (International Data Group) predicted that in the next few years, "large data centers" will account for 70% of the industry's construction. As more and more enterprises in the financial services industry and other industrial sectors take advantage of scalability, increased storage, and cost savings, Colocation or outsourced data centers are growing.
According to the report of "Hosting Data Center Industry Global Market by 2020", it is estimated that the hosting market will grow by 15.4% from 2016 to 2020, with an estimated value of 54.8 billion dollars.
So, in the expanding data highway, what key trends should data center managers grasp?
With the growth of host hosting facilities, outsourcing, and hyper converged data centers, greater automation needs across multiple facilities will become more obvious to manage the complex energy and operational needs of the world's expanding information centers.
Modern data centers already rely on a variety of automated processes (e.g., monitoring of cooling units). However, as the lights out operation continues to advance, we expect that the entire industry will achieve more automation, including the ability to manage multiple facilities from one control center. This will benefit operators by providing them with relevant data and by remotely configuring or changing the local network.
It is estimated that the hosting market will grow by 15.4% from 2016 to 2020, with an estimated value of 54.8 billion US dollars
Simplicity will also become a key factor in managing the data center environment by reducing the number of control layers, doing more at the local level (if possible, autonomously), and reducing latency.
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In addition to the demand for automation and simplification, the industry also needs to be keenly aware of the macroeconomic and environmental needs to improve energy and cost efficiency. Many people seek deeper and further savings. The digital giants of Google and Facebook are already deploying new AI optimizations and temperature sensors to increase energy consumption during cooling.
But in this series of key trends, the dependence on digitalization may not be obvious. Smart data requires smart power. With the growth of data demand and complex data systems, digitization provides an elastic infrastructure that can grow or shrink with the load.
From concept to design, today's data center and major system solutions must take elasticity into account. This intelligent "digitalization" of the power transmission system means that operators can handle their assets more, because better control will bring better utilization, maximum uptime and information.
The point-to-point architecture of digital systems will enable data center managers and operators to obtain industry level best practice benchmarks and improve the visibility of cross industry data. These systems, as well as advanced power analysis, intelligent alarm and event processing functions, will provide greater transparency for equipment and enterprise level operations.
This is useful because it allows potential problems to be identified and resolved before they can cause significant damage or downtime.
When high voltage power systems are needed, security is of course a major issue. By digitizing, data center personnel can be protected from high voltage exposure during inspection or maintenance activities.
By using diagnostics, alerts, and event settings, data center teams can proactively report and accurately locate problems, thereby reducing exposure risks caused by human error and further enhancing site security.
