Edge Computing: Edge computing will transform the digital experience
Feb 05, 2020, 329 views
The evolution of computational technology goes through technologies oriented to centralization and decentralization. Between 1950 and 1970, mainframe technology was dominant, but due to the high maintenance cost and large applied infrastructure in companies, a new era of computational technology emerges - client-server - partitioning this capacity into smaller machines.
Since 2000, we have seen the growth of cloud computing, a new movement of centralization of computing capacity by major global representatives bringing gains in scale and allowing a model as a service, flexible and scalable for customers.
Therefore, with an increasing demand for high performance in information processing, solutions based on edge computing architecture appear to address gaps that cloud solutions cannot address, such as the optimization of transfer rates and response times of applications in milliseconds.
The significant reduction in latency that edge provides meets the demand for real-time processing that Internet of Things (IoT) and virtual reality solutions require, for example. In practice, and in translation, it is a computation closer to the edge in order to reduce the response time between application and server.
On another front, edge computing generates savings for the contractor and the possibility of revenue for operators. As an infrastructure as a service, the traditional cloud has a business model that charges for the amount of data stored, a standard that remains in line with the needs of many companies. With the edge architecture, the customer starts to filter the information that needs to consume the cloud, while companies can decentralize the computing power with the distribution at the edge of the network, which results in the optimization of resources for those who hire and the opportunity for new ones, respectively. gains from applications and services for those who offer.
At the end, to make the benefits to society tangible, companies that will use edge computing in the near future with the arrival of 5G will be able to take entertainment, education, health, safety, agricultural and industrial production to the metropolises, countryside and even remote locations. through reliable low-latency communications.
Combined with edge computing, the possibility of the emergence of new technologies expands exponentially. '5G at the Edge' report, published by 5G Americas, to address the evolution of the new generation of mobile telephony, sees this relationship as crucial for applications. Landing on that horizon, it will no longer be futuristic to see a young man playing online games with virtual reality goggles in an autonomous moving car.
Low latency and edge processing will also be increasingly present in the gaming world, reducing lags, and, through artificial intelligence and machine learning, the edge computing architecture in 5G networks will improve security and response issues in guidance of the vehicle.
Rao Yallapragada, one of the leaders of the working group that produced the 5G Americas report, explains what precedes this scenario: “we are creating a new architecture based on data-centric technologies, such as analysis, networks and storage for 5G systems, which operate with edge computing, which will have a major impact on the operation of wireless networks in the future. "
The potential of technology is even greater when it is projected to be used in IoT initiatives. Going beyond the autonomous car, edge computing brings a better computing experience and benefits business verticals such as retail, with sensors in stores to create more attractive interactions with customers; in industry 4.0, it makes it possible to monitor and control production lines in real time with closer servers and decentralized management capacity in micro data centers; in smart cities, such as healthcare, for example, where the infrastructure has to be dedicated - not shared - for compliance, edge will be the ideal model because it gives the cloud the capacity, with low latency and meets all performance requirements.
According to studies by Gartner, the expectation is that by 2025, 75% of the total data created by companies will be managed by systems of this architecture. From now on, it is up to companies to understand the barriers and ways to deliver a better edge computing experience.