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Introduction to Edge ComputingWe live in a world where more than 85% of companies use cloud services, as suggested by the tech jury. According to we are social, 4.57 billion people are using the internet, and this number is increasing. Consequently, there is a generation of a huge amount of computational and networking information, which overloads the central cloud. This is where Multi Access Edge Computing comes into play. What led to such an advancement? Let's discuss. Cloud computing is used to analyze, process, and store the data, rather than a local server or personal computer without direct active management by the user. In other words, it is a system that allows the user to use the computer system resources only when required, with the basic requirement of a strong internet connection. The next level of cloud computing is “ Edge Computing.” It reduces network stress. The basic difference between Cloud Computing and Edge Computing lies in the place where data processing takes place. What's so fancy about Multi-Access Edge Computing then? Why are people favoring it?
What is Multi-Access Edge Computing?Multi-Access Edge Computing (MEC) enables data to be processed, analyzed, and transferred at the network's edge. The idea is to offload the analyzed data from the centralized cloud to the edge of the network, closer to the user than the centralized cloud, far away from the user. Hence lower the latency. Most modern devices, applications, and services make substantial use of cloud computing resources.
Multi-access Edge Computing (MEC) offers application developers and content providers cloud-computing capabilities and an IT service environment at the edge of the network. Source: Multi-access Edge Computing (MEC), ETSICloud infrastructure is composed of various components that are interconnected with one another into a single architecture. It primarily composes hardware (CPU’s, GPU’s, RAM), virtualization, non-volatile storage, and network interface. But there is much more to computing, especially networks that decide how the networked resources can be utilized. The main aspects that affect cloud computing services are latency and bandwidth. Cloud service latency is the delay between a client request and a cloud service provider’s response, and bandwidth in data transmission in bits per second represents the network connection's capacity. MEC removes these two major drawbacks (high latency and low bandwidth).
Features of Multi-Access Edge ComputingGo through the main features of Multi-Access Edge Computing below: 1. MEC offers IT services and cloud at the edge of a network and is truly an ace up your sleeves in situations where milliseconds play a crucial role. 2. Edge Computing brings the best of both worlds, combining the public cloud's agility with the high responsiveness of on-premise. 3. MEC reduces network congestion and accelerates an application's performance, bringing high-quality graphics, VR (Virtual Reality), gaming, and more to IoT platforms and mobile devices.
Values of Multi-Access Edge ComputingBelow mentioned are certain values related to Multi-Access Edge Computing that provide big advancement in handling the data:
- The advancement in Multi-Access edge computing provides opportunities to develop a new range of services and applications using IoT, artificial intelligence, or 5G technology, hence helping in developing new revenue streams.
- The data produced at the user end is filtered at the edge and reduces the cloud data storage.
- In edge computing, data processing takes place at the edge of the network, and this processed data is easily accessible by the user end. Hence, improve availability and reduce the data transportation cost.
- Instead of sending unprocessed data to the cloud, most of the processing is done at the local network's edge. Only the result is sent to the cloud, thus require low transmission bandwidth.
- It provides low latency, which in turn, increasing the system's efficiency.
Key Drivers for Multi-Access Edge ComputingMEC's key drivers are 5G networks, the Internet of Things (IoT), and 4G networks. Experts believe that Edge Computing will become popular when 5G goes into the mainstream a year from now. 5G technology and Edge Computing plays a significant role in improving the performance of applications and services. Mobile Edge Computing provides an ultra-low latency rate by bringing the computing capabilities closer to the user end, thus decreasing the distance travelled by the data. The user will be able to enjoy consistent connectivity.
5G increases the speed by 10 times that of 4G.
IoT is a system enabling the interconnection of computing devices or physical devices and transferring the data over the network without direct human interaction. Time taken to transfer the data must below that is low latency, and the system must be secure, which can be provided by Multi-Access Edge computing. For example, if a Life Critical system collapses, it results in a life-threatening situation. We cannot afford the delay in response time. In these types of applications, we need the response time of fewer than 20 milliseconds.