边缘计算：云、边、端相关概念理清
发布时间：2022-10-14 11:39:45 所属栏目：云计算 来源：
导读： 我负责副部已经有一段时间了。我经常在会议和同事的讨论中听到边缘和云的概念。今天，我把相关的概念整理到我的博客上。
[En]
I have been in charge of the side department for some time. I
[En]
I have been in charge of the side department for some time. I
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我负责副部已经有一段时间了。我经常在会议和同事的讨论中听到边缘和云的概念。今天，我把相关的概念整理到我的博客上。 [En] I have been in charge of the side department for some time. I often hear the concepts of edge and cloud in meetings and colleagues’ discussions. Today, I sort out the relevant concepts to my blog. 云、边、端的概念在不同的场景下会有不同的解释。在广义上，云、边和端的概念如下 [En] The concepts of cloud, edge and end are interpreted differently in different scenarios. In a broad sense, the concepts of cloud, edge and end are as follows 云指云计算 边指边缘计算 端指终端设备 而在边缘计算的前提下，云、边、端的概念会有更加细化的解读 云是传统云算的中心节点，是边缘计算的管控端 边指云算力的边缘端，分为基础设施和设备边缘 端指终端设备，如手机、家电、各类传感器 云计算强调集中化，而这部分集中化不仅侧重于云端计算能力的交付，还强调技术资源的集中化：所有资源都构建在一个计算池中，当远程请求到来时，通过调用计算池中的计算资源和应用能力来处理请求，从而为用户提供服务。 [En] Cloud computing emphasizes centralization, and this part of centralization not only focuses on the delivery of computing power in the cloud, but also emphasizes the centralization of technical resources: all resources are built in a computing pool, and when remote requests come, the requests are processed by calling computing resources and application capabilities in the computing pool, thus providing services to users. 从用户的角度来看，用户可以动态申请资源支持各种应用的运行，不需要担心繁琐的细节，可以更专注于自己的业务，有助于提高效率、降低成本和技术创新。这与2002年提出的网格计算池的概念非常相似，在网格计算池中，计算和存储资源被虚拟化为一个集合，可以任意组合和分配。资源池的规模可以动态扩展，分配的用户的处理能力可以动态回收和重用。这种模式可以大大提高资源的利用率，提升平台的服务质量。 [En] From the user’s point of view, users can dynamically apply for resources to support the operation of various applications, do not need to worry about tedious details, can be more focused on their own business, help to improve efficiency, reduce costs and technological innovation. This is very similar to the concept of grid computing pool proposed in 2002, in which computing and storage resources are virtualized into a collection that can be arbitrarily combined and allocated. The size of the resource pool can be dynamically expanded, and the processing capacity of assigned users can be dynamically recycled and reused. This model can greatly improve the utilization of resources and improve the service quality of the platform. AI、大数据、IoT等技术落地到各行各业都需要通过云计算。然而，当面对海量数据计算、新兴计算场景、小数据实时处理等方面的挑战，云计算存在一些发展瓶颈云计算概念理解，需要新技术来突破。 边缘计算定义：指靠近对象或数据源的一侧，利用网络、计算、存储、应用等核心能力为一体的开放平台，提供距离最近的端服务。 [En] Edge computing definition: refers to the side close to the object or data source, using the network, computing, storage, application core capabilities as one of the open platform to provide the nearest end services. 如果说云计算是为了帮助人们更好地连接到互联网，那么边缘计算更多是针对物联网。 [En] If cloud computing is to help people better connect to the Internet, then edge computing is more aimed at the Internet of things. 在物联网场景下，云计算模式有越来越多的局限性，不能满足很多设备场景下的应用。 [En] In the scenario of the Internet of things, the cloud computing model has more and more limitations and can not meet the applications in many device scenarios. 在设备（物）— 云计算模型下，设备处理的时效性（延时），带宽局限性，让我们不得不引入边缘计算。 核心思想是将数据的存储、传输、计算和安全交给边缘节点，其应用在边缘端启动，可以产生更快的网络服务响应。满足各行业在实时业务、应用智能、安全隐私保护等方面的需求。 [En] The core idea is to leave the storage, transmission, computing and security of data to the edge node, and its application is launched on the edge side, which can produce faster network service response. to meet the needs of various industries in real-time business, application intelligence, security and privacy protection. 在某些场景下，应用边缘计算辅助可以帮助系统获得比纯云计算更好的结果，例如： [En] In some scenarios, the application of edge computing assistance can help the system achieve better results than pure cloud computing, such as: 随着云计算能力从中心下沉到边缘，边缘计算将推动形成 “云、边、端”一体化的协同计算体系。 可以说，边缘计算是云计算的延伸，两者各有其特点： 云计算和边缘计算并不是对立的概念，用户不需要在边缘计算和云计算的概念之间做出选择。云计算和边缘计算更多的是结合在一起，以实现更好的结果。 [En] Cloud computing and edge computing are not opposite concepts, and users do not need to choose between the concepts of edge computing and cloud computing. Cloud computing and edge computing are more of a combination to achieve better results. 两种应用场景的分析：在智能应用中，云计算更适合大规模数据的集中处理，而边缘计算则可以用于小规模的智能分析和本地服务。 [En] Analysis of both application scenarios: in intelligent applications, cloud computing is more suitable for centralized processing of large-scale data, while edge computing can be used for small-scale intelligent analysis and local services. 边缘计算与云计算优势互补、协同发展，将在更大程度上助力行业数字化转型。 [En] The complementary and coordinated development of edge computing and cloud computing will contribute to the digital transformation of the industry to a greater extent. （编辑：PHP编程网 - 襄阳站长网） 【声明】本站内容均来自网络，其相关言论仅代表作者个人观点，不代表本站立场。若无意侵犯到您的权利，请及时与联系站长删除相关内容! |
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