2023 年及未来的数据中心趋势和预测

Data Center Trends & Predictions For 2023 And Beyond

译 者 说

随着市场和技术的不断发展和应用场景的日新月异，2023年及未来的数据中心将会出现一些显著的发展趋势。

首先，数据安全将会是一个重要话题。数据中心将面临越来越多的挑战，包括保护数据免受未经授权的访问和攻击。另外，随着数据中心的不断发展，数据中心工作也将会变得越来越重要。预计将会有更多的人才投身于数据中心领域，并且会有更多的职位需要填补。此外，随着数字化工具、人工智能技术和软件虚拟化技术的普及，数据中心也将在这些领域中得到更广泛的应用。这些技术能够帮助数据中心更有效地管理其资源，并提高系统的运行效率、可用性和可扩展性。

随着5G技术的普及，数据中心也将逐渐适应5G市场的需求。数据中心将需要提供更快的速度和更低的延迟，以满足5G时代对实时数据的需求。同时，随着人们对数据的使用方式不断变化，数据中心也将面临更多的小数据需求。这些小数据通常涉及日常生活中的各种信息，例如位置信息、天气查询等。

此外，数据中心高密度机柜散热和环保也将成为发展趋势。随着数据中心的不断扩大，如何有效地散热并保护环境将变得越来越重要。数据中心公司可能会采用新技术来解决这些问题，并且可能会更多地使用可再生能源和环保技术。

总之，未来数据中心将会出现一些显著的发展趋势，包括数据安全、人才需求、技术应用和环保等。这些趋势将为数据中心行业带来更多的机会和挑战，并将推动数据中心行业的发展。

为了方便存储、管理和处理海量数据，数据中心在从政府部门到各种规模的零售商等组织中越来越受欢迎。

Facilitating the storage, management, and processing of colossal amounts of data, data centers continue to gain popularity among organizations ranging from government departments to retailers of all sizes.

事实上，从2021年到2030年，数据中心市场预计将增长10%。近年来，数据中心建设项目也在不断增加，在该领域创造了更多的就业机会。

In fact, between 2021 and 2030, the data center market is projected to grow by 10%. Data center construction has also been increasing in recent years, creating more jobs in the field.

让我们一起来了解一下2023年及未来快速增长的数据中心行业的8个趋势和预测。

Read ahead to learn about 8 trends and predictions for 2023 and beyond for the rapidly growing data center industry.

数据安全越来越受到关注，数据保护能力也越来越好

Better data protection and focus on security

到2025年，全球产生的数据预计将超过180ZB(180×109TB)，相当于每年增长40%。随着生成的数据量的增加，安全漏洞的脆弱性也随之增加。

By 2025, the volume of data generated worldwide is predicted to exceed 180 zettabytes, which amounts to an annual growth of a whopping 40%. As the amount of data generated increases, so does vulnerability to security breaches

这些数据可能对组织的运营至关重要，数据丢失可能会对组织的战略和决策能力造成严重损害。因此，像麦格理数据中心这样的数据中心必须实施强有力的安全措施，以确保重要数据的保护。

This data may be critical to the operations of organizations, and data loss may seriously impair an organization’s strategic and decision-making capabilities. Data centers such as Macquarie Data Centres must, therefore, implement robust security measures to ensure the protection of important data.

未来几年，通过加强物理和逻辑安全控制，有望实现更好的数据保护。安全措施包括改进面部识别技术和通过无人机来建立访问控制。

In the coming years, better data protection is expected through both physical and logical security. Measures may include, for instance, improved facial recognition technology and drones to build access-control.

预计还将进一步采用“零信任”技术，以防范任何未授权用户连接到网络。

Further adoption of ‘zero trust’ technologies, which prevent any user from connecting to the network without permission, is also expected.

不断增长的数据中心工作岗位

Increase in data center jobs

预计到2023年，数据中心工作岗位将增加2%，并且到2025年，这一比例将增加到3%，该行业提供的职位包括:

Data center jobs are expected to increase by 2% through 2023 and 3% by 2025. The industry offers several positions including:

• 项目经理负责制定计划、跟踪进度、测试设备、编写报告，并履行项目的所有行政和管理职能。
• Project managers who create plans, track progress, test equipment, write reports, and perform all administrative and management functions for projects.
• 数据中心技术人员监控和维护系统状况，及时响应现场出现的任何问题。
• Data center technicians to monitor and maintain conditions in the systems, and to respond to any problems as they arise.
• 生产运营主管负责管理数据中心技术人员并维护数据中心环境。
• Production leaders to manage data center technicians in maintaining the data center environment.
• 工程师构建计算环境和硬件并为其提供支持。
• Engineers to build and provide support to the computing environment and hardware.
• 管理关键设施操作的设施工程师确保暖通空调（HVAC）系统和建筑管理系统（BMS）的正常工作。
• Facility engineers who manage critical operations such as ensuring proper working of Heating Ventilation and Air Conditioning (HVAC) systems and Building Management Systems (BMS).
• 电气维修员对出现问题的电气设备和系统进行故障排除和修复。
• Electricians to troubleshoot and fix any problems that arise with the electrical equipment and systems.

很快，更多的数据中心需要越来越多的岗位人员来从事技术工作，为了让自己拥有处理技术的知识，你可能需要TSA的信息技术证书。

Soon more data centers will need more manpower to handle more technical work and in order to equip yourself with the knowledge to handle technology you might need a diploma of information technology with TSA.

广泛地利用数字化工具和人工智能技术

Greater use of digital tools and artificial intelligence

新冠疫情推动了软件自动化和人工智能的发展，这一趋势也促进了数据中心的快速发展。随着数据中心自动化的不断提高，它对人类的依赖性也在逐渐降低。在疫情后的时代，这种趋势似乎没有改变。

The COVID-19 pandemic increased the move towards software automation and artificial intelligence — a trend that increased the need to ramp up the development of data centers. Data centers have evolved to be less dependent on humans, and this evolution does not seem to be reversing in a post-COVID world.

数据中心将继续使用数字化工具来简化和优化其运营，如通过上游计算机模拟和访问控制、电力、供暖成本等测试来实现。

Data centers will continue to use digital tools — such as upstream computer simulations and tests for access control, electricity, heating costs, etc. — to streamline and optimize their operations.

向软件虚拟化迈进

Move towards software virtualization

软件虚拟化允许计算机服务器与多个虚拟系统一起工作。这一技术通过在硬件上创建抽象层，将硬件的组件（如处理器、内存存储等）划分为多个虚拟计算机，从而允许服务器在更少的硬件上完成更多的工作。

Software virtualization allows a computer server to work with more than one virtual system by creating an abstraction layer over computer hardware that allows its elements (such as processors, memory stores, etc.) to be divided into multiple virtual computers.

这个过程有助于降低与硬件相关的成本，因为可以用更少的物理系统完成更多的工作。

This process helps to bring down hardware-related costs as a greater amount of work can be done with fewer physical systems.

适应5G市场的应用

Adjusting to 5G adoption

随着技术的不断发展，全球间的联系日益密切。5G技术也已经开始迅速应用于各个领域和行业。

With the continued development of technology, the world is becoming increasingly interconnected. Replicating this pattern, 5G technology has begun to be adopted rapidly across sectors and industries.

5G依赖于零延迟和超快的数据传输速率，这需要投资于新的软件和硬件。

5G relies on zero latency and ultra-fast data speed, which require investment in new software and hardware.

为了推动并适应5G技术的变革，数据中心将加大在这方面的投资。

Data centers are expected to invest in the changes needed to adjust to 5G adoption.

逐渐增加的小数据需求

Rising need for small data

相对于大数据（无法用传统数据处理软件存储、管理和操作的海量数据集），小数据指的是一种格式和大小更容易被个人用户理解和接受的数据。

While big data refers to humongous data sets that cannot be stored, managed, and manipulated using traditional data-processing software, small data is data in a format and volume that makes it accessible for human comprehension.

小数据具有可操作性和可访问性，对帮助人类做出明智决策至关重要。

Small data is actionable and accessible, and is crucial in helping humans make informed decisions.

《福布斯》对小数据的定义是：“在时间、带宽或能源消耗至关重要的情况下，促进对最重要数据进行快速认知分析的范例”。

According to Forbes, small data can be understood as “a paradigm to facilitate fast, cognitive analysis of the most vital data in situations where time, bandwidth, or energy expenditure are of the essence.”

随着分布式企业的增多，需要快速处理信息并响应问题，对小数据的需求也会增加。

As distributed enterprises increase, so will the need for small data in order to process information and respond to issues quickly.

解决高密度机柜散热问题

Addressing issues arising from high density of infrastructure

为了满足日益增长的计算需求，特别是在人工智能的使用下，科技公司正在争相打造更好、更具创新性的CPU。

In order to meet increasing computational requirements, especially with the use of artificial intelligence, technology companies are competing to build better, more innovative CPUs.

处理大数据的CPU越来越密集，但却被安置在有限的空间里。随着在狭小的空间中容纳的IT设备越来越密集，数据中心面临着确保有效散热的挑战。

CPUs are becoming increasingly dense to process big data, but are being housed in a limited space. With more and more dense infrastructure housed in a small space, data centers are challenged with ensuring the efficient dissipation of the heat produced.

预计在2023年及以后，数据中心将在高密度机架上使用液体冷却，同时对低密度机架仍然采用传统冷却方式进行散热。

In 2023 and beyond, it is expected that data centers will simultaneously employ liquid cooling on high-density racks and traditional cooling on low-density racks.

增长的环保措施

Increased adoption of environmental stability measures

数据中心占据了全球温室气体排放总量的2%，对气候变化和环境造成了巨大影响。因此，人们日益意识到需要采取措施使数据中心变得更加环保。

Contributing 2% of the total global greenhouse gas emissions, data centers have a significant impact on climate change and the environment. As a result, there is increasing need and awareness of implementing measures to make data centers more environment friendly.

客户、投资者和监管机构的压力促使数据中心行业发生改变，以满足对环境要求。

Pressure from customers, investors, and regulators has galvanized the data center industry to make changes to support the environment.

为了实现这一目标，数据中心公司已经开始采取措施，例如回收和再利用设备，使用可再生能源，甚至建立水下数据中心。

Data centers companies have started taking steps such as recycling and reusing equipment, using renewable energy, and even creating underwater data centers.

深 知 社

翻译：

梁伟

AWS 总工

DKV（DeepKnowledge Volunteer）计划精英成员

校对：

贾梦檩

阿里云 暖通工程师

DKV（DeepKnowledge Volunteer）计划精英成员

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