Traffic Analysis and Optimization of Network Equipment Using Artificial Intelligence
摘要
In the hybrid cloud infrastructure, data networks play a very important role, ensuring the connection between the local infrastructure and the public or private cloud infrastructure. Data traffic increases greatly when using the cloud and this will be achieved by increasing bandwidth and by segregating data on multiple connections. IT management must analyze the types of data and the quantities that are transmitted to the cloud and received from the cloud and, based on this analysis, establish the necessary connections and technical specifications to support communications within the cloud. Depending on the location where the on-premises or cloud data is stored, connections will be established so that communications ensure the data flow necessary for the proper functioning of IT services. IT services and applications used by the organization will use separate, encrypted communication channels to ensure data security. If the cloud email service is used, it is ideal to ensure this on a separate communication channel. Internet access for browsing and information will be provided separately from the communication channels necessary for IT services serving different applications. Modern communication equipment allows the definition of software networks that have the characteristics of physical networks, share the same physical communication environment but are separate and governed by their own communication rules. Software-defined networks are very versatile and have the great advantage of allowing the implementation of all these requirements in terms of flexibility, versatility and security, but the great advantage is given by the possibility of their automation.