Edge computing: Solutions for the future!

What is edge computing?

Edge Computing is an architecture designed and built to optimize the cloud computing system by allowing data processing and computation at the edge – where it is close to the source of the data. and receive the most processing requests (IoT devices).

Edge computing model is designed and built as shown below:

In there:

• Upper Layer (Cloud Layer) is a big data platform that helps in analyzing complex and time consuming tasks like Big Data, Machine Learning etc.
• The middle layer is the edge computing layer: The edge computing layer can be seen right next to or near IoT devices to connect and process local data of billions of IoT devices. The term “Edge Computing” is used to describe the computing centers located in the middle of the cloud (Cloud) but close to the devices (Devices), called the edge. In addition, it also indicates the computational boundary between the internet environment and the local network environment. Some documents or articles use the terms “Border Computing” or “Edge Computing” which may sound more uncomfortable or confusing than the term “Edge Computing”.
• The last layer is IoT devices: sensors (Sensors), instruments, controllers (Controllers), …

In fact, large enterprises have developed in the form of building and deploying branches, production and business facilities in many places, geographically different. Edge computing systems will be designed to easily collect and manage IoT devices in a given area. Thereby, businesses can combine analyzed data volumes in many different geographical locations for further analysis at the Cloud layer to find gaps and optimize methods. production/business over time.

What are the benefits of edge computing?

Edge computing allows to clarify the scope and resources at the edge to optimize analysis and processing, reducing operating costs, thereby increasing profit margins. Besides, edge computing helps IoT devices to operate without an internet connection, a cluster at the edge can be considered as a node in the network. Here are 5 key benefits of edge computing:

1.Fast response: Edge computing allows local processors, with the right capabilities (owning their own computing power), to easily handle tasks that require fast and demanding response times must take immediate action after encountering a certain situation.

2.Enables processing of data near the source: before being sent to a centralized cloud, edge computing can process data near the source and only send relevant, relevant data. (However, in this case, there will be a delay in data transmission because analysis must be performed prior to sending the information)

3.Optimizing cost, time and quality:   Edge computing application services allow localization of tasks to be processed, continuously harmonizing data through each stage, significantly reducing the amount of data. data needs to be stored and processed, saving bandwidth, reducing latency, and improving quality of service.

4.Minimizing the phenomenon of “bottlenecks”: Edge computing reduces the mutual influence in the entire system, by assigning loads and zoning accordingly, making it easier for the system to cope with errors that occur. occurs when processing data, or unexpected problems about viruses, information security holes and network security.

5.Unlimited Scalability and Security: Edge computing allows enterprises to easily add network nodes/edge devices to expand the scale and capacity of the IoT network without affecting the entire network. rest set.

Promising solution edge computing in the future

According to forecasts by marketsandmarkets, the global edge computing market will reach a value of $3.6 billion by 2020 and will continue to grow to $15.7 billion by 2025 at a compound annual growth rate (CAGR) ) is 34.1% over the forecast period. In particular, from 2018 to 2025, the edge computing market (calculated by the amount of investment) will grow the most in North America, followed by Europe and the APAC market in third place.

In another report by grandviewresearch  on the market share of industries in edge computing implementations and applications in 2019, the energy & utilities sector ranks first, the industry ranks second, followed by other industries. transportation & logistics industry, smart city sector, and healthcare industry

The amount of data generated every second is increasing day by day and the need to access resources and computer applications anytime, anywhere while ensuring data storage and security requirements are increasing day by day. In addition, the increasing demand for automated real-time decision support solutions and handling latency, coupled with the increasing demand for big data computing and network traffic, has driven drive demand for edge computing.

Along with the development of IoT technology, edge computing tends to grow larger. They have been and are being applied, as well as the investment is increasing and the scope is also constantly expanding.