2020年政治考研百度云_2020年云发展的5种方式

2020年政治考研百度云

Cloud computing is set to continue its remarkable development this year with technologies like 5G, Kubernetes, AI and machine learning increasing the scope and scale of the operational uses it can be put to. In this post, we’ll look at these technologies and see how they will change the face of cloud computing and how businesses use it.

今年，随着5G，Kubernetes，人工智能和机器学习等技术的发展，云计算将继续其卓越的发展，从而扩大其可应用的范围和规模。 在本文中，我们将研究这些技术，并了解它们将如何改变云计算的面貌以及企业如何使用它。

1. 5G助推物联网 (1. IoT boosted by 5G )

The long wait for 5G is finally over and, with its introduction, we’re set to see it play a critical role in the connectivity of IoT devices, extending that connectivity way beyond the limitations of wi-fi and enabling the development of edge computing.

对5G的漫长等待终于结束了，随着它的推出，我们将看到它在物联网设备的连接中扮演着至关重要的角色，将这种连接方式扩展到了Wi-Fi的局限之外，并支持边缘计算的发展。

The exponential growth in the number of IoT devices is coupled with an equally gargantuan collection of data. As the value of that data for delivering rich insights prevents enterprises from deleting it, companies are left to find a way to store and process it all. They need massive data storage capacity and vast compute capabilities. At the same time, some of the new technologies being developed for IoT use, self-driving vehicles being a prime example, require network latency to be almost eradicated.

物联网设备数量的指数增长与同样庞大的数据收集相结合。 由于这些数据可提供丰富的见解的价值可防止企业删除它们，因此，企业不得不寻找一种存储和处理所有数据的方法。 他们需要大量的数据存储容量和强大的计算功能。 同时，为物联网使用而开发的一些新技术(无人驾驶汽车就是一个很好的例子)要求几乎消除网络延迟。

5G can help with all these issues. It can connect devices where wi-fi and cabled connections are not available and at exceptional speed, it enables storage and compute services to be installed at the edge of 5G networks, shrinking latency to less than a millisecond while reducing the type and volume of data being stored in datacentres.

5G可以帮助解决所有这些问题。 它可以连接无法使用wi-fi和电缆连接的设备，并且连接速度极快，它可以将存储和计算服务安装在5G网络的边缘，将延迟缩短到不到一毫秒，同时减少了数据的类型和数量被存储在数据中心。

2. 更严格的公共云安全标准 (2. More stringent security standards for public cloud)

Security is a critical concern for all enterprises and one new area to consider is the issue around 5G as it becomes part of the cloud network. The UK’s decision to use Huawei technology for its 5G network has already become a political hot potato. This, together with other concerns, is likely to lead to more stringent security standards, particularly over endpoint security, for cloud providers.

安全性是所有企业都非常关注的问题，随着5G成为云网络的一部分，安全性是一个新的领域。 英国决定将华为技术用于其5G网络已经成为一个政治热点。 这与其他问题一起，可能会导致针对云提供商的更严格的安全标准，尤其是端点安全性。

It is expected that tighter regulations will be introduced for the architecture of hybrid clouds requiring full data separation between on-site and public cloud environments. Brexit will also play a part, as the UK goes its own way in implementing standards regarding data protection.

预计将对要求在现场和公共云环境之间进行完全数据分离的混合云体系结构引入更严格的法规。 英国将以自己的方式实施有关数据保护的标准，英国脱欧也将发挥作用。

3. 更多用户采用混合云 (3. More users adopting hybrid cloud)

While many companies have considered hybrid cloud, its technological challenges have led to most of them adopting a purely public cloud model. And while there are workloads which are better suited to a hybrid solution, the lack of flexibility to deploy both on-site and cloud infrastructures is a hurdle which many enterprises are not equipped to overcome.

尽管许多公司已经考虑了混合云，但其技术挑战导致大多数公司采用纯公共云模型。 尽管存在一些更适合于混合解决方案的工作负载，但缺乏部署现场和云基础架构的灵活性，这是许多企业无法克服的障碍。

In 2020 and beyond, we’ll start to see new tools that can overcome these management and migration challenges. These tools will split migration into two separate processes where companies can first become familiar with their new programming and management models on-site before finally moving their infrastructure to the cloud. This is particularly helpful for those organisations that want to move to the cloud but don’t want to abandon the investments they have made in their datacentres and hardware.

在2020年及以后，我们将开始看到可以克服这些管理和迁移挑战的新工具。 这些工具将迁移分为两个独立的过程，公司可以首先在现场熟悉其新的编程和管理模型，然后再将其基础架构移至云。 对于那些想要迁移到云但又不想放弃在数据中心和硬件上进行投资的组织而言，这特别有用。

4. Kubernetes成为标准容器 (4. Kubernetes to become the standard container)

Containers have become widely used by companies that need to run multi-cloud workloads. By providing a platform-agnostic solution for the packaging and management of applications, they have simplified the process of cloud adoption and migration.

容器已被需要运行多云工作负载的公司广泛使用。 通过为应用程序的打包和管理提供与平台无关的解决方案，他们简化了云采用和迁移的过程。

Of all the container solutions available, Kubernetes has become the most widely adopted. The primary reason for this is that, aside from housing an application, it also specifies the app’s required infrastructure, including load balancing, networking and scaling. What’s more, the standardised way in which it does this means those specifications can be more easily transferred across providers. When it comes to deploying infrastructure for container-based workloads, Kubernetes is today’s go-to solution. Additionally, its popularity means there are also a growing number of tools being developed to support its use.

在所有可用的容器解决方案中，Kubernetes已成为使用最广泛的解决方案。 这样做的主要原因是，除了容纳应用程序外，它还指定了应用程序所需的基础结构，包括负载平衡，网络连接和扩展。 此外，标准化的方式意味着可以更轻松地在提供商之间转移这些规范。 在为基于容器的工作负载部署基础架构时，Kubernetes是当今的首选解决方案。 此外，它的普及意味着也正在开发越来越多的工具来支持其使用。

5. 网络中使用的人工智能和机器学习 (5. AI and machine learning used in networking)

AI and machine learning are now being deployed to carry out a wide range of operations and this means companies are reorganising their IT services to enable them to make deployment easier. One area where AI is beginning to bring developments is in networking, helping with such things as reducing energy consumption and in automating maintenance tasks. Expect to see even more examples of its uses coming into the spotlight in the next few years.

现在正在部署AI和机器学习以执行各种操作，这意味着公司正在重组其IT服务，以使部署变得更加容易。 人工智能开始带来发展的领域之一是网络，它可以帮助降低能耗和自动化维护任务。 期望在未来几年内看到更多有关其用途的例子。

结论 (Conclusion)

It is an exciting time for the cloud with technologies like 5G, containers, AI and machine learning enabling its users to undertake more operations and enhance their capabilities. However, with expanding uses comes an even greater need for security and higher standards in how data is used. Hopefully, the information given here will have shown you what developments are in store and how your company can benefit from them.

借助5G，容器，人工智能和机器学习等技术，对于云而言，这是激动人心的时刻，使用户能够进行更多操作并增强其功能。 但是，随着用途的扩大，对数据使用的安全性和标准提出了更高的要求。 希望这里提供的信息可以向您显示正在发展的方面以及您的公司如何从中受益。

If you are considering cloud adoption, check out our cloud hosting or enterprise hosting solutions.

如果您正在考虑采用云，请查看我们的云托管或企业托管解决方案。

翻译自: https://www.eukhost.com/blog/webhosting/5-ways-cloud-will-develop-in-2020/

2020年政治考研百度云