The Future of Data Centers: Trends to Follow in 2024
In today's world, the spread of digitalization into every aspect of life has made it essential to store and protect data securely. Companies therefore need data centers to store and manage both their own data and the data they receive from their customers. At the same time, efficient data center operations, advances in artificial intelligence, environmental sustainability, and the goal of zero carbon emissions are shaping companies' decisions on data center investment. Taking the topics examined below into account when investing in a data center in 2024 can have a direct, long-term impact on its efficiency.
Large-Scale (Hyperscale) Data Centers
With growing volumes of information, globalization, and advancing technology, storing the data being generated has become a necessity. This necessity gave rise to the demand for data centers. Storing, preserving, and transmitting this data without interruption has also become increasingly important. Over time, companies began to need hyperscale data centers to handle such large data flows. So why should hyperscale data centers be considered one of the key data center trends of the future?
Efficient, high-capacity hyperscale data center facilities use high-density racks to maximize server capacity. Rather than sending too much data to a single server and causing it to overheat, they distribute the data flow across many servers, creating a more efficient operating environment. This also reduces cooling costs, giving companies a financial advantage. Moreover, with their powerful virtual network systems, large-scale data centers can easily carry out recovery and backup operations.
Large-scale data centers also reduce environmental impact and adhere to sustainability principles, because existing data center equipment is recycled during the production of new technology and servers. Finally, since large-scale data centers can be scaled horizontally and vertically, their service life is extended.
Advances in Artificial Intelligence and Their Impact on Data Centers
Data centers are versatile facilities used not only for data transmission but also for data storage, computing, and communication. The growing use of chat tools such as ChatGPT, cryptocurrencies, and similar applications is increasing the energy consumption of data centers and, in turn, driving their growth in scale, number, and quality. Advances in artificial intelligence are reducing the need for manual operation of these complex facilities. In recent years, data centers designed with integrated artificial intelligence have used machine learning to control airflow, optimizing cooling and energy expenditure to deliver cost savings.
The benefits of AI integration for data centers are, of course, not limited to energy and cost savings. Network traffic management, data security, and infrastructure processes are just as important as the smooth operation of the data center itself. AI-based network management algorithms simplify big data analysis and ensure uninterrupted data transfer, while AI security tools can help prevent cyber-attacks on data centers. In operations, artificial intelligence is also used to monitor and maintain the physical structures and systems of data centers, to run automation processes, and to detect and respond to problems before they occur.
How Does Edge Computing Affect Data Centers?
In recent years, the development of mobile devices and the spread of smart systems and IoT devices have not only increased the flow and use of data but also made data processing more complex. Data centers that aim to process such massive data flows and ensure uninterrupted operations benefit from edge computing technology. So how does edge computing affect the operating principles of data centers?
Edge computing allows data to be processed where it is generated or used, rather than in a central system. As a result, it affects data center operations in terms of bandwidth, data processing time, and latency.
• Bandwidth: Processing the large volumes of data generated by IoT devices locally through edge computing reduces network congestion.
• Reduced Latency: Because local processing significantly shortens data processing time, data is transferred end to end more quickly.
• Increased Security: With hybrid cloud solutions, data is processed locally rather than at a central location, so its transmission path is shorter and it is less exposed to threats in transit.
Edge computing offers significant advantages to companies whose users are located in different regions and countries. Because it supports local cloud services and enables immediate intervention on malfunctioning data center devices, it also makes it easier to establish data centers in regions far from the main data center.
How Should Data Center Construction Respond to Emerging Trends?
Data centers are the heart of today's digital world. Their design and construction are continuously evolving to keep pace with ever-changing technological developments and growing data volumes.
Data center construction is of critical importance in today's digital world, and many strategic parameters must be taken into account. Factors such as security, energy consumption, and data transfer play a decisive role in selecting a data center's location. The sites where data centers are built should also offer geographical diversity. Energy efficiency is a critical factor for both environmental sustainability and lower operating costs: environmentally friendly choices not only reduce operating costs but also minimize environmental impact.
Long-term sustainability and durability should be the goal throughout the construction of data center projects. Once completed, the structures must remain free of water leaks for at least 20 years and be resilient to all types of disasters, earthquakes in particular. To achieve these goals, every element of the work must be thoroughly checked in terms of QA/QC (Quality Assurance and Quality Control), and these parameters must be consistently applied. For construction to proceed without errors, all electromechanical and architectural systems must be modeled in line with data center standards.
Other important points to consider in data center construction are as follows:
• Cooling Systems: Cooling systems, which are among the largest energy consumers in a data center, should be designed with high-efficiency, low-cost solutions.
• Power Infrastructure: A reliable power infrastructure, including uninterruptible power supplies (UPS), generators, and redundant power systems, should be established.
• Maintenance and Management: The infrastructure and software required to manage and maintain the data center effectively throughout its lifecycle should be in place.
The Impact of Sustainability and Greenhouse Gas Emissions on Data Center Energy Use
The United Nations' net-zero commitment to prevent global temperatures from rising by 1.5 degrees Celsius directly affects the energy use policies of data centers. The Global Cooling Pledge, announced at the 2023 United Nations Climate Change Conference, aims to reduce emissions from cooling systems by 68% by 2050. To achieve this goal, strategies that improve the efficiency of cooling systems are being implemented. To minimize cooling requirements, companies may opt for geographically cooler regions and hyperscale data centers. By adopting green technologies or microgrid solutions, companies can increase their energy self-sufficiency and reduce their energy consumption.
In Türkiye, the number and capacity of data centers are growing day by day under the influence of global trends. In this context, SERBAN continues to deliver uninterrupted service through its EPC+ approach, offering flexible, scalable, end-to-end solutions for data centers.