Introduction
The Internet of Things (IoT) is the network of physical objects embedded with electronics, software, sensors and connectivity to enable advanced services. The IoT allows objects in everyday life to be connected and communicate with each other through the internet using standardised protocols and languages. The IoT is not a single technology but rather a collection of technologies that work together. Edge computing refers to data processing and analysis that happens as close to an information source as possible for better performance, responsiveness and reliability. It’s generally considered more secure because it reduces the need for data transfers over long distances or between different networks
The Internet of Things (IoT) is expected to have an installed base of over 22 billion devices by the end of 2019.
The Internet of Things (IoT) is a network of devices that are connected to each other and to the internet. IoT can be used for many purposes, such as smart homes, smart cities and smart cars.
The installed base of IoT devices is projected to grow from about 8 billion in 2017 to 22 billion by 2020 according to Juniper Research’s latest report on IoT market forecasts.
The IoT is not a single technology, but a collection of technologies that work together.
The Internet of Things (IoT) is not a single technology, but a collection of technologies that work together. IoT is made up of sensors, gateways, cloud and applications. The data collected by these devices travels through the network to be processed at the edge or in the cloud.
The Edge Computing platform can be used as an alternative to traditional cloud computing because it allows you to process data closer to where it was generated (at your endpoints). This reduces latency in some cases while also reducing cost per bit transported across networks by eliminating unnecessary hops between devices and servers located far away from each other
Edge computing is a form of cloud computing where data processing and analysis is performed as close to the source as possible for better performance, responsiveness and reliability.
Edge computing is a form of cloud computing where data processing and analysis is performed as close to the source as possible for better performance, responsiveness and reliability.
It’s a subset of cloud computing.
Edge Computing can be used in many different scenarios including:
- Industrial IoT (IIoT) applications like factory automation, maintenance management systems etc.,
- Smart city applications like smart parking meters or smart streetlights,
- Remote healthcare monitoring systems such as home health care devices that collect patient data from wearable sensors or other sources such as blood pressure monitors etc.,
- Intelligent transportation systems such as traffic lights with built-in cameras to monitor congestion levels on roads near them so they can adjust timings accordingly based on traffic conditions at any given time
Edge computing can help in reducing latency, improving battery life, increasing privacy and security, reducing network congestion and increasing system uptime.
The need for edge computing is growing. As the internet of things (IoT) expands and becomes more pervasive, it’s clear that the current centralized model isn’t going to be able to handle all of the data being generated from sensors and devices at the edge.
Edge Computing can help in reducing latency, improving battery life, increasing privacy and security, reducing network congestion and increasing system uptime
Edge computing can help improve the quality of IoT applications.
Edge computing can help improve the quality of IoT applications.
- Edge computing can reduce latency, which is the time it takes for data to travel from one point to another. This is especially important for real-time applications such as autonomous vehicles and drones.
- Edge computing can also improve battery life by reducing network traffic on mobile devices and other connected devices that require frequent charging or replacement of batteries, like wearables like fitness trackers or smart watches that need regular charging because they’re not designed with large batteries in mind (since they are so small).
- Another benefit of edge computing is increased privacy and security because less data needs to be sent over networks where it might be compromised by hackers who can use this information against companies or individuals through blackmail or identity theft scams–or simply just invade their privacy by exposing sensitive information online without their knowledge!
Conclusion
The Internet of Things (IoT) is expected to have an installed base of over 22 billion devices by the end of 2019. The IoT is not a single technology, but a collection of technologies that work together. Edge computing is a form of cloud computing where data processing and analysis is performed as close to the source as possible for better performance, responsiveness and reliability. Edge computing can help in reducing latency, improving battery life, increasing privacy and security, reducing network congestion and increasing system uptime
