Edge computing, like the 'Internet of Things and 'Artificial Intelligence,' has escaped the term bubble and is now a genuine technology gaining major popularity. And, with businesses all over the world eager to employ cutting-edge IT techniques to remain ahead of the competition, this paradigm is only going to grow in popularity.
But what exactly is edge computing? Or Multi-Access Edge Computing? How might the notion assist organisations in developing relevant IT goods and services?
What is edge computing?
Edge computing is defined as a "distributed computing paradigm that moves processing and data storage closer to the point of demand – to increase reaction time and conserve bandwidth" (Hassan, Yau and Wu, 2019). In simple terms, it implies processing data closer to the source. There is less reliance on the cloud by enabling real-time analytics and processing data closer to the asset. This guarantees a fast reaction time and low latency. That is exactly what edge computing can accomplish for you. The cloud stays the cloud; it merely gets closer to you.
What is multi-access edge computing?
Multi-Access Edge Computing (MEC) shifts traffic and service computing from a centralised cloud to the network's edge, closer to the client (Filali et al., 2020). The network edge analyses, processes, and stores data rather than sending it all to the cloud for processing. In Multi-Access Edge Computing the gathering and processing of data are nearer to the user which minimises latency and gives high-bandwidth applications a performance advantage.
What are the Edge computing Platforms?
Edge Computing Platforms may be developed for a wide range of use cases, including healthcare, for making clinical choices in industrial settings such as mining, manufacturing, and telecommunications (Das, Patterson and Wittie, 2018). Edge Computing Platforms can be open-source or paid, and the choice should be determined by the organisation.
Here are the top 5 edge computing platforms:
1. NIFE Edge Network & Multi-Access Edge Computing
2. Azure IoT Edge
3. Eclipse ioFog
5. Alef private Edge Platform
Edge Computing Services in Singapore
Singapore prioritises 5G deployments since the new wireless standard greatly aids edge locations and devices in achieving quicker connectivity and reduced latency. The Edge Computing Service in Singapore is playing a significant role in IT modernization efforts. In the city-state, several enterprises have already implemented new infrastructure and R&D settings for their edge or 5G capabilities.
NIFE Cloud Computing is an Edge Computing Service in Singapore. With access to an Edge Ecosystem and 5G Edge, Nife enables seamless application deployment, making low latency between network, cloud, and devices a reality.
The Benefits of Edge Computing
Edge computing has been dubbed the "cloud killer" by some. In actuality, though, it is merely an evolution of the cloud (Tyagi, 2021). Businesses will continue to produce, process, and store operational data on the cloud. They may, however, analyse data more effectively for time-sensitive applications by utilising edge computing.
The benefits of Edge Computing are:
In an age when speed is essential, edge computing assists in locating key processing jobs closer to end consumers, resulting in quicker and more responsive services.
Users do not have to worry about personal or sensitive data being kept anywhere because information does not have to be sent to the cloud (Tyagi, 2021).
When 100 devices send the same data to the cloud, there is sure to be a bandwidth issue. Edge computing, on the other hand, does not consume your bandwidth because it analyses data from a single source.
What are the applications of edge computing?
1. Medical diagnostic in real time
Medical IoT devices at the edge can identify aberrant health situations more quickly and easily. This will result in faster reaction times and more accurate medical diagnosis and treatment. Edge computing has the potential to shift the world away from reactive therapies and toward real-time, AI-based predictive healthcare (Dave, Seliya and Siddiqui, 2021).
2. Consumption of energy
Edge computing is one of the key technologies used in smart grids to help businesses control their energy use. Large industries and institutions may monitor and analyse their energy usage and optimise it to save energy using IoT devices and sensors connected to an edge platform.
3. Gaming on the cloud
Cloud gaming has grown in popularity over the previous decade. It is, however, heavily dependent on latency because it sends a live feed of the game straight to the device. Therefore, gaming businesses may give players a completely responsive, uninterrupted, and immersive gaming experience by locating edge servers closer to them.
4. Smart homes
IoT devices that gather and analyse data from around the home are frequently used in smart homes (Dave, Seliya and Siddiqui, 2021). This data is frequently transferred to a centralised distant server for storage. However, the current design is costly and insecure.