# Future Internet Architectures on an Emerging Scale--A Systematic Review
## 1 Introduction
These technologies can support machine-to-machine communication with different levels of reliability, latency, and bandwidth. For example, cellular networks provide wider coverage and higher reliability, while Wi-Fi can provide a higher bandwidth but a lower coverage. 5G networks as part of mobile network technology were introduced in 2019 to offer faster download and upload speeds, with a lower latency and higher capacity compared to previous generation networks. With the advent of 5G networks, users are offered faster download speeds, faster access to content, and improved streaming quality, thereby enhancing the overall mobile experience. Besides this, edge computing has emerged as a promising technology for supporting low-latency machine-to-machine communication. Edge computing refers to the processing of data closer to the source, such as on the device or on a nearby server, rather than sending it to a central cloud server for processing. Edge computing can significantly reduce latency and improve reliability by reducing the distance between the data generation and processing. 3. How to manage user-generated content on the internet? Managing the user-generated content on Facebook, YouTube, and Twitter, etc., is becoming increasingly important as these platforms continue to grow in popularity. The content created by users can have a significant impact on the direction of the traffic, meaning that it can shape the discussions and the views of the users who engage with it. In this context, the authors in [4] proposed a hypothesis that was based on the user-generated content by people that helps them in making decisions for a purchase, and the factors of this included the perceived credibility, usefulness, and risk. One of the most critical aspects of managing user-generated content is the need for platforms to leverage a productive balance between freedom of expression and ensuring that any inappropriate or harmful content is not disseminated on their platform. This task can be daunting, given the vast amount of content that is posted every day, and the diverse viewpoints and opinions that users hold. The second critical aspect of managing user-generated content is to ensure that the content meets the platform's guidelines. These may include restrictions on hate speech, violence, harassment, and other forms of inappropriate behavior. There is no doubt that platforms have an onus to take appropriate actions against users that violate these guidelines, such as removal of content, terminating or suspending accounts, or content reporting to the law enforcement authorities. Additionally, social media platforms must also be aware of the potential impact that user-generated content can have on the direction of traffic. The awareness of the content's potential to go viral, and taking precautionary steps to ensure that it is not being spread for fraudulent or malicious purposes, for example, the spreading of false information or manipulating the public opinion. Looking to the future, managing user-generated content will continue to be a critical issue for social media platforms. As these platforms continue to evolve and grow, there will be a need for ongoing improvements to the tools and processes that are used to manage it effectively. This may include an increased use of automation and artificial intelligence to identify and remove inappropriate content, as well as greater transparency and accountability in the management of this content. The authors in [5], highlight certain research propositions to minimize potential risks and to support the ethical use of an AI design that offers solutions to data privacy and transparency, retains consumer trust, and minimizes potential biases that include gender, ideological, and racial biases during the ethical AI design process. 4. Security and privacy  
These are the two important issues because of the utmost importance of the internet to private and business life.