IoT edge computing technology processes data close to the source of an Internet of Things device. This computing is used to solve latency issues and offers a range of benefits as well. The main objective of this computing is to use and manipulate large data for bigger advantages. With this article, we will explore five potentials of Edge computing in IoT.
What is Edge Computing All About?
Edge or Edge Computing plays the role of a mover that moves the storage and processing of computers closer to the network edge. This makes computer processing and storage come closer to devices and, most importantly, to data sources. Edge computing is well-equipped to offer a wide array of advantages that not only smoothen data analysis but also enhance responsiveness. This computing technology can allow comprehensive and speedy data analysis. It also holds expertise in offering predictive analysis and increasing device or user responsiveness.
What is the Internet of Things?
The Internet of Things is the process of connecting physical devices to the Internet. IoT refers to any hardware that receives and transmits data over networks and doesn’t require any human intervention. The objects connected to the internet are referred to as smart objects. The IoT devices have embedded software, sensors, and other technologies that enable data collection and sharing. The greatest benefit of IoT is its capability to monitor environmental conditions, control machines, track inventory, and many other tasks.
Edge Computing in IoT
In IoT Edge, sensors and devices communicate real-time data to a network. In order to ensure fast responsiveness of the data produced by the IoT devices, data needs to be analyzed at the edge instead of going back to a centralized site. Edge computing redefines the conventional mode of data processing and analysis. Real-time data is a crucial requirement for many businesses for informed decision-making, and they must have computing and storage near the customers and devices for local data processing. With edge computing, it is now possible to keep the computing near the IoT devices for immediate data analysis.
Five Capabilities of IoT Edge Computing
IoT edge computing has advanced impeccably in the last few years and is empowered to have great potential. Let us look at the five capabilities this technology possesses-
Data pre-processing and Filtering
Unlike the traditional edge computing system, modern IoT edge computing can pre-process data and filter irrelevant data for sending only the relevant ones to the cloud. This considerably reduces bandwidth requirements and the need for huge cloud storage to improve performance.
Edge Analytics
IoT edge has a way more powerful processing system than the traditional data collection and analysis at the edge. It enables new cases to use low latent and high data.
Scalability
IoT edge devices can be connected to a Local Area Network or LAN and a Wide Area Network or WAN. It integrates IoT devices into the network ecosystem for centralized data management. This scalability has given birth to numerous edge management platforms to manage networks.
Synthesized Workloads
IoT devices, nowadays, use hypervisor to run multiple operating systems. This enables it to run various workloads smoothly on a single IoT device. IoT edge computing consolidates workloads and decreases the physical footprint of every device.
Requires an Open Architecture
IoT-based edge computing needs an open architecture having standard protocols and data structures to enable open data exchange, enabling agility, smooth integration, and synergism.
Edge computing proves to be a game-changer for IoT, allowing it to process and analyze data independently. This not only strengthens IoT capabilities but also ensures improved computing for smooth and effective data usage.
