What is the translation of " FOG COMPUTING " in Chinese?

• 雾计算

Examples of using Fog computing in English and their translations into Chinese

Why LoT needs fog computing,” says OpenMind.
为什么IoT需要雾计算，”OpenMind说。

However, the buzzword these days is"fog computing.".
然而，这些日子的流行语是“雾计算”。

LoT, big data, fog computing, and how the work of today can shape tomorrow.
物联网大数据雾计算以及今天的工作如何塑造明天.

Data experts have already started using another term:“fog computing”.
数据专家开始使用另一个术语：“雾计算”。

To deploy fog computing, analytics intelligence must be redistributed from the cloud to the edge.
要部署雾计算，分析智能必须从云重新分配到边缘。

He is also with the Shanghai Institute of Fog Computing Technology(SHIFT).
上海雾计算实验室（ShanghaiInstituteofFogComputingTechnology，SHIFT）.

In all, fog computing helps reduce deployment barriers for industrial operators who want to join the IIoT.
总而言之，雾计算有助于减少希望加入IIoT的工业运营商的部署障碍。

Over 25 of Cisco's network products are enabled with Cisco's fog computing or edge data processing platform, IOx.
超过25款思科网络产品将支持思科的雾计算或边缘数据处理平台（IOx）能力。

In fog computing, data processing happens not only in the cloud data centers but at the local area network layer.
在雾计算中，数据处理不仅发生在云数据中心，还发生在局域网层。

With the industrial IoT and challenges around IT/OT integration, we see terms like cloud, edge and fog computing.
随着工业物联网和IT/OT集成的挑战，我们又有了云、边缘和雾计算之类的术语。

Edge computing and fog computing are sometimes used interchangeably, as they both push data processing away from the data center;
边缘计算和雾计算有时可互换使用，因为它们都将数据处理从数据中心推出;

Scientific calculations of any difficulty can be performed quite fast due to the opportunities fog computing provides.”.
任何困难的科学计算可以通过雾计算提供的机会以较快的速度完成”。

Using fog computing, short-term analytics can be assessed at a given point in time and do not require full travel back to a centralized cloud.
而使用雾计算，短期分析可以在给定的时间点实现，并不需要完全返回到中央云。

Our goal is to help and support both the business leader and the technologist to create new applications and business models through fog computing.
我们的目标是帮助并支持商业领袖和技术专家通过雾计算创造新应用和新商业模式。

The growth of fog computing frameworks provides much more choices to organizations for processing information and data wherever it is appropriate.
雾计算框架的增长为组织提供了更多选择，以便在适当的时候处理信息和数据。

By processing and analyzing data flows close to the data sources, fog computing will help address latency, bandwidth and reliability, and cost issues.
通过处理和分析接近数据源的数据流，雾计算将有助于解决延迟，带宽和可靠性以及成本问题。

Fog computing makes scalability possible by extending cloud functionality to the edge, which helps resolve reliability, bandwidth and cost issues.
雾计算通过将云功能扩展到边缘来实现可扩展性，这有助于解决可靠性、带宽和成本问题。

Through analysis and processing of data flows from data sources, fog computing will resolve problems associated with bandwidth, address latency, cost, and reliability.
通过处理和分析接近数据源的数据流，雾计算将有助于解决延迟，带宽和可靠性以及成本问题。

Budgets for fog computing in 2018 were generally increasing(40%) or staying the same(51%), with just 5 percent of respondents reporting a decrease.
年的雾计算预算普遍增加（40％）或保持不变（51％），只有5％的受访者觉得减少。

From there, you can design your overall, end-goal architecture, comprising flexible frameworks and leading technologies(IoT, AI, fog computing and blockchain).
在那里，您可以设计整体的最终目标体系架构，包括灵活的框架和领先的技术(物联网、AI、雾计算和区块链)。

In designing intelligent fog computing nodes or endpoints, we will see an increasing number of embedded processing platform choices in a few years.
在设计智能雾计算节点或端点时，我们会在几年内看到嵌入式处理平台的数量不断增加。

Respondents expected manufacturing, smart cities and transportation to be the top industry segments adopting fog computing, followed by energy, healthcare and smart homes.
受访者预计制造业、智能城市和交通运输将成为采用雾计算的顶级行业，其次是能源、医疗保健和智能家居。

Fog computing can solve some of the most challenging tasks of humanity by joining the powers of personal computers, laptops and even smartphones.
雾计算可以解决人类面临的一些最具挑战性的任务，可以结合个人计算机、手提电脑，甚至智能手机的能力。

Respondents expected manufacturing, smart cities and transportation to be the top industry segments adopting fog computing, followed by energy, healthcare and smart homes.
受访者预计，制造业、智慧城市和交通运输将成为采用雾计算技术的最大行业领域，其次是能源、医疗和智能住宅。

As stated earlier, fog computing is the paradigm of putting computing capability in the connection between the device sensors and the cloud server.
如前面所述，雾计算是将计算能力用于设备传感器与云服务器之间的连接的范例。

Unsurprisingly, AI engineers have been trying to get the best of both worlds and have eventually developed fog computing, which is a decentralized computing infrastructure.
不出所料，人工智能工程师一直在努力实现两全其美，最终开发出雾计算，这是一个分散的计算基础设施。

Fog computing enables rapid, secure processing of critical data-dense applications, addressing inherent challenges that neither cloud nor edge can resolve alone.
雾计算能够实现对关键数据密集型应用程序的快速、安全处理，解决了云和边缘无法单独应对的内在挑战。

Relying on the Fog computing framework, X-Block can, utilize various heterogeneous devices(including personal computers, smartphones, routers, etc.) to form a decentralized computing engine.
依靠雾运算框架，X-Block可以利用各种异构设备（包括个人计算机，智能手机，路由器等）来形成分散的计算引擎。