The digitalization of our economy requires data centers to continue to innovate to meet the new needs for connectivity, growth, security, innovation, and respect for the environment demanded by organizations. Every phase of life is putting increased pressure on data centers to innovate at a rapid pace. Explosive growth of data driven by 5G, Internet of Things (IoT), and Artificial Intelligence (AI) is changing the way data is stored, managed, and transferred. As this volume grows, data and applications are pulled together, requiring more and more computing and storage resources. The question facing data center designers and operators is how to plan for the future that accomplishes the security, flexibility, scalability, adaptability, and sustainability needed to support business requirements.
With this explosion of data, companies need to think more carefully and strategically about how and where their data is stored, and the security risks involved in moving data. The sheer volume of data creates additional challenges in protecting it from intrusions. This is probably one of the most important concerns of the industry – how to protect data from being hacked and being compromised in a way that would be extremely damaging to their core business and the trust of their clients.
Traditional data centers must deliver a degree of scalability to accommodate usage needs. With newer technologies and applications coming out daily, it is important to be able to morph the data center into the needs of the business. It is equally important to be able to integrate these technologies in a timely manner that does not compromise the strategic plans of the business. With server racks getting denser every few years, the rest of the facility must be prepared to support an ever increasing power draw. A data center built over the next decade must be expandable to accommodate for future technologies, or risk running out of room for support infrastructure. Server rooms might have more computing power in the same area, but they will also need more power and cooling to match. Institutions are also moving to install advanced applications and workloads related to AI, which requires high‐performance computing. To date, these racks represent a very small percentage of total racks, but they nevertheless can present unfamiliar power and cooling challenges that must be addressed. The increasing interest in direct liquid cooling is in response to high‐performance computing demands.
5G enables a new kind of network that is designed to connect virtually everyone and everything together including machines, objects, and devices. It will require more bandwidth, faster speeds, and lower latency, and the data center infrastructure must be flexible and adaptable in order to accommodate these demands. With the need to bring computing power closer to the point of connectivity, the end user is driving demand for edge data centers. Analyzing the data where it is created rather than sending it across various networks and data centers helps to reduce response latency, thereby removing a bottleneck from the decision‐making process. In most cases, these data centers will be, remotely managed and unstaffed data centers. Machine learning will enable real‐time adjustments to be made to the infrastructure without the need for human interaction.
With data growing exponentially, data centers may be impacted by significant increases in energy usage and carbon footprint. Hyperscalers have realized this and have increasingly used more and more sustainable technologies. This trend will cause others to follow and adopt some of the building technologies and use of renewables for their own data centers. The growing mandate for corporations to shift to a greener energy footprint lays the groundwork for new approaches to data center power.
The rapid innovations that are occurring inside (edge computing, liquid cooling, etc.) and outside (5G, IoT, etc.) of data centers will require careful and thoughtful analysis to design and operate a data center for the future that will serve the strategic imperatives of the business it supports. To help address the complex environment with competing forces, this second edition of the Data Center Handbook has assembled by leaders in the industry and academia to share their latest thinking on these issues. This handbook is the most comprehensive guide available to data center practitioners as well as academia.
Roger R. Schmidt, Ph.D.
Member, National Academy of Engineering
Traugott Distinguished Professor, Syracuse University
IBM Fellow Emeritus (Retired)