The
cloudlet enabled the app to process data locally, reducing latency significantly.
这个云粒使应用程序能够本地处理数据,显著降低了延迟。
By deploying microservices on
cloudlets, the company achieved faster response times for edge computing tasks.
通过在云粒上部署微服务,公司实现了边缘计算任务更快的响应时间。
The
cloudlet architecture offers a decentralized approach to data processing, enhancing privacy and security.
云粒架构提供了一种分散式的数据处理方法,增强了隐私和安全性。
In smart city scenarios,
cloudlets facilitate real-time traffic management by analyzing sensor data on-site.
在智慧城市场景中,云粒通过现场分析传感器数据来促进实时交通管理。
Cloudlets bring computation closer to the end-users, creating a more seamless AR/VR experience.
云粒将计算能力更接近终端用户,创造了一个更加无缝的AR/VR体验。
With the rise of IoT,
cloudlets have become crucial for handling the deluge of data generated by connected devices.
随着物联网的兴起,云粒已成为处理连接设备产生的数据洪流的关键。
The
cloudlet concept allows for low-latency gaming experiences even on mobile devices by offloading processing power.
云粒概念通过卸载处理能力,使得即使在移动设备上也能实现低延迟的游戏体验。
In healthcare,
cloudlets support instant analysis of medical images, improving diagnosis speed and accuracy.
在医疗保健领域,云粒支持医学图像的即时分析,提高了诊断的速度和准确性。
Edge computing via
cloudlets ensures that autonomous vehicles can make decisions in milliseconds without relying on distant servers.
通过云粒的边缘计算确保自动驾驶汽车能在毫秒内做出决策,而不依赖远端服务器。
By integrating
cloudlets into disaster response systems, authorities can get real-time updates and coordinate efforts more efficiently.
通过将云粒整合进灾难响应系统,当局可以获取实时更新,并更高效地协调救援行动。
未经许可,严禁转发。QQ交流群:688169419