Five network management trends in 2022

With the emergence of the Internet era , People need to establish closer ties with the outside world , Then Wi-Fi Come into fashion . Now , Companies need to provide more powerful wireless LAN , And help remote employees establish a good network connection , therefore , The edge network is around us .

Here are some major trends in network management ：

Proliferation of edge networks

Edge network is one of the hottest network fields at present . A study on the marginal Internet economy shows , To 2030 year , The scale of marginal economy will reach 4.1 Trillions of dollars . This has a huge impact on network management .IT Not only to manage the LAN 、Wi-Fi、 adopt vpn Remote connections and other traditional responsibilities , It must also be able to monitor 、 Maintenance and management of many expected edge devices and small data centers appear .

for example , Telecom companies are studying the possibility of combining edge data centers with their cellular base stations , So that data can be sent to local and central points , Summarize the data and store it for a period of time . Autonomous vehicle will also require a lot of edge services , In order to be able to monitor the numerous factors required for safe and efficient transportation . Besides , We also need to consider the Internet of things (IoT). Because of the Internet of things , Tens of billions of new connections have been added to the global network . This means a huge demand for edge processing .

Demand for partners

As networks become more complex 、 The continuous development of the edge , And the Internet of things is gaining momentum , More and more obvious is , No company can do everything . therefore , Network management providers are working with edge and IOT experts .IT Suppliers are building closer relationships with network providers , Because they are trying to prepare for the needs of the evolving network architecture . Enterprises are seeking to bring the edge 、 All the help of integrating the Internet of things and other data into its operations .

According to an organization from 2021 A study that began in showed ,20% Business leaders of have been looking for suitable delivery partners for the Internet of things and edge services . This figure has increased significantly in the past year .

Internet hosting

More and more enterprises are using third-party infrastructure to create customized services . These managed functions available as services are orchestrated into specific business logic . for example , Businesses can access Docker The registry , It contains many software functions packaged as containers , These software will use Kubernetes Orchestrate into working applications . Since there is no specific equipment related to this service , The network management system knows nothing about the availability of services . therefore , The network management system will have to deal with the challenges of these managed networks .

Get rid of device centric management

The traditional network management system is mainly built to deal with the equipment management function , And how to provide services for these devices through the network . Service provided by equipment , As long as the device is started and running , Services are available . But because of virtualization 、 Software Defined Network 、 The emergence of trends such as cloud computing and edge computing , This long-term approach is being overturned .

The relationship between services and devices is being decomposed , The existing network management framework must change with the development and implementation of the new framework , These frameworks span different layers of the stack , And provide cross domain coordination in a multi cloud environment . Solving this problem requires understanding how hosts and connections work , How to use them to create new services , This leads us to reconsider network management as service orchestration .

therefore , Network configuration providers are becoming more and more interested in their products . Besides , Many of these suppliers and traditional network providers are trying to promote the service market , Introduce new network management into the market .

Artificial intelligence and analysis drive network management

AI is being incorporated into more and more applications and workloads . But it faces a major network problem . It takes a long time for AI systems to connect with edge data . If the architecture is too centralized , It may take an hour to process data locally 、 Transmit to Central AI System 、 Analyze , Then transmit the discovery or instructions to where they are needed .

When dealing with the sales forecast for the next quarter , This method may work , But when autonomous vehicle 、 When real-time workloads such as financial fraud systems appear , This method will fail . The network change required is to enable data to be processed and analyzed at creation , Instead of having to transmit to the central data center . This means that the edge data center has a lot of processing capacity .​