Shulou(Shulou.com)11/24 Report--

Upgrades used by smart devices are expanding the capacity of the current infrastructure.

It is expected that with the increase in the use of Internet of things and the introduction of 5G network, the previously unparalleled generation of a large amount of data will form a snowball trend.

The complexity and scale of organizational data generated by connecting devices has rapidly exceeded the capabilities of cloud-based platforms, causing latency and bandwidth problems. Cloud-based platforms have no choice but to find new ways to meet customer needs.

01. What on earth is edge computing? What exactly is edge computing, a buzzword similar to "Internet of things" and "cloud"? How does it process data in a way that benefits the enterprise?

Edge computing (Edge computing) is relative to cloud computing, which means that the behavior of collecting and analyzing data occurs in local devices and networks close to data generation. Edge computing is also known as distributed cloud computing, fog computing or fourth-generation data centers.

Edge computing first emerged by virtualizing network services on the WAN network. Originally driven by a platform, adapted to the habits of cloud computing users, this is the origin of the fog computing concept put forward by Cisco (CSCO) in 2011. With the emergence of new edge computing power, edge computing no longer needs to build a centralized data center, creating the ability to potentially thousands of large-scale distributed nodes.

In other words, edge computing performs more processes in a local site, such as an Internet of things device or a user's PC, than in the cloud. It indicates that the processing and analysis of the original data takes place at the location where the data is collected, rather than when the data enters the centralized data center.

The data center only reviews and interacts with calculations that are done at the edge, such as predictions, real-time insights, or actionable answers. Computing at the edge of the network reduces the amount of remote traffic required between the client and the server, thereby reducing latency.

Edge computing is growing as end users expect more cloud-based applications, and more and more enterprises own multiple sites and quickly embrace a teleworking culture. This forces cloud-based platforms to find a way to handle the rapid flow of data away from the data center while managing all data in one location.

02. How does edge computing work? In traditional enterprise computing, data from end users is moved to the enterprise data center through WAN (such as the Internet) through LAN. At this point, the data is analyzed, and the end user receives the results of the process. Unfortunately, the number of Internet-enabled devices and the amount of data generated seems to be growing to a stage that traditional data centers can no longer overcome.

Instead, edge computing brings storage and servers to data through hardware that can work on remote LAN to collect and process data. Although the physical framework of edge computing may be quite complex, the basic idea is to enable user devices to be connected to tight edge modules for efficient processing and operation.

Edge devices can be Internet of things sensors, smartphones, closed-circuit televisions, PC, robotic arms in factories, or high-end remote surgery systems. The components at the edge include:

Edge devices such as smartphones and smartwatches have used edge computing to collect and process data. For example, Internet of things devices, vehicles, and sensors are edge devices, assuming they can be calculated locally and interact with the cloud.

The local infrastructure needs a framework for handling the local system and connecting to the system, and can take the form of a router, container, bridge, or server.

The edge of the network is the interface point between the device or the local network and the Internet. Edge computing does not require a unique "edge network" to run, and although implemented with the network edge, it can magnify each other's effects to provide higher performance.

03. The importance and advantages of Edge Computing Cisco estimates that there will be more than three times as many network devices on the planet as humans in 2023, that is, there will be 29.3 billion connected devices by 2023. So many devices generate 70 trillion GB of data, which is more than seven times the amount of global data in 2015.

If all the data generated by these devices are transferred to the cloud, it will be a great challenge to network bandwidth, network traffic cost control and cloud storage capacity.

At the same time, some applications need to respond in time, such as the fault prediction of mechanical equipment in the factory, and time delay means loss. Other edge devices also involve personal privacy and security.

In order to meet the challenges of massive data transmission, storage and cloud computing capabilities in the Internet of things, leading cloud computing manufacturers have launched edge computing products. Some of the data analysis functions are implemented near the application scene (terminal or gateway). This nearby intelligent service can meet the key needs of industry digitalization in agile connection, real-time business, data optimization, application intelligence, security and privacy protection.

Edge computing has become more and more important recently because it provides a solution to network problems involving massive data movement in the current digital world. It is becoming a practical architecture that supports distributed computing and deploys computing and storage resources near data sources.

Its use is not limited to solving the above problems. Edge computing can also address the time spent processing and responding to time-sensitive data. And edge computing brings broad or industry-based benefits. The benefits of edge computing include:

Reduce delay

Reduce bandwidth usage and associated IT costs

Function enhancement

Improve operational efficiency

Faster general response time, especially in time-sensitive cases

Improve workplace safety

Data control

Improve security

04. The challenges of edge computing in order to successfully implement edge computing, we also need to consider the issue of architecture. some of the current challenges facing edge computing include:

The lack of a standard and integrated architecture implementation edge requires the right infrastructure-device, network, or cloud platform. In most cases, several mismatched technology stacks are being used and proper alignment is required to work effectively.

Although edge computing is not affected by regular network restrictions, it still requires the least number of connections. An edge deployment structure that tolerates poor and unreliable connections should be a key consideration in the design phase.

An urgent challenge to security threat edge computing is that it is vulnerable to malicious attacks. Including "smart" devices, such as edge servers and Internet of things devices-notorious for their porous security-will only create new opportunities for further destruction of these devices.

A continuing problem with the life cycle of data in which the current data exceeds the surplus is that most of the data is irrelevant and most of the data used for real-time analysis is not usually preserved for a long time. Determining which data to retain and which data to discard after the analysis process based on standard policies is critical to prevent overload and tension.

Local hardware edge computing requires more localized hardware. For example, some Internet of things devices have basic built-in systems that can send raw data to a Web server. Analyzing these data rather than sending them requires a complex system with higher processing power. The hardware used to build these devices can also be expensive.

Conclusion highly dynamic ecosystem innovation with a variety of technological options is always welcome. However, with a wide range of technology selection systems, the continuous innovation of network potential such as 5G and MEC (Multi-access Edge Computing) is leading to the formation of a complex ecosystem.

Edge computing is a technology related to almost every field, which provides us with great value in today's rapidly changing technology world. The possibility that arises because of this technology is worth observing.

I hope you have a concise understanding of the concept of distributed networks presented by edge computing. In another article, we will study edge computing and cloud computing, technologies that combine edge computing with edge computing, and security issues.

This article comes from the official account of Wechat: new Research (ID:chuxinyanjiu), author: Eleojo Evangeline Ezekiel, compiled by Tang Poetry

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