How is cloud computing used in the Internet of Things?

The current integration between the cloud and IoT systems has dramatically transformed the ways how companies and users leverage the tremendous amounts of information in order to make better decisions and automate various processes. In this blog, I am going to explain how cloud computing assists IoT platforms and IoT monitoring platforms to contribute towards ‘green innovation’ and ‘green operations.

What does IoT Platform mean?

IoT then stands for the internet of things which is a system of devices that are interconnected through the use of the internet. These devices include home automation gadgets such as thermostats, lights, security systems, and wearables; as well as machines used in industries, production lines and healthcare services among others. The purpose of IoT is mainly to capture and capture information from these devices and provide useful information or take actions automatically.

Cloud computing is a computing model providing shared access to computing resources, services, and applications. Here, the author explains why cloud computing is important within the context of IoT.
Cloud computing is a model of computing that delivers software application through the Internet and offers shared resources including storage, processing power. In the case of IoT, the cloud provides support as an infrastructure from which resources can be scaled and which provides flexibility for processing data in real time.

Cloud services help to free up from sophisticated structures, through which IoT platforms can control big volumes of data from the interconnected devices. The technical processes in handling this data would be expensive to perform if they were to be conducted on physical computers rather than in the cloud.

How Cloud Computing Integrates with IoT

Data Storage and Management

IoT devices are always in the process of amassing vast quantities of data. Some of the data in the public cloud thus requires the use of scalable and cost effective storage to manage it. Cloud IoT platform enable businesses to store details gathered from connected devices and share the information from any location.

For example, an IoT monitoring platform for smart agriculture integrates data on the moisture content of the soil, the climatic conditions and the health of crops, respectively. This data is stored in the cloud and extracted for analysis and report purposes.

Real-Time Processing and Analysis

Real time processing of the data is very useful for IoT applications like smart traffic light system or for predictive maintenance on assembly lines. The IoT monitoring increased the number of sensors initiating the flow of big data to cloud computing that empowers data analytics tools in real-time.

These concepts may then initiate an action response, for example, regulating the traffic lights to ease congestion or informing about equipment failure.

Scalability

IoT systems are relatively simple to begin with but may grow larger with an increasing number of connected devices. As IoT systems scale up, the cloud nature of these IoT platforms means that they can expand their data storage and connections without having to physically expand the infrastructure.

For instance, a city implementing a smart lighting system is likely to start with a single zone and expands to the whole city. This is not a problem for a cloud-based IoT platform to cope with as the amount of new connections grows.

Seamless Connectivity

Cloud computing helps IoT devices to communicate with each other since they all can connect to the cloud platform directly. The many devices become linked to the cloud which handles transfer and streaming of data and enables the interfaces between differing devices from different manufacturers.

This connectivity is critical for the IoT monitoring systems where large amounts of data coming from different sources, for instance, smart homes, healthcare devices, and industrial sensors.

Cost-Effectiveness

Allotting IoT without cloud computing would lead to organizations having to spend large on on premise servers and it infrastructure. Cloud solutions eliminate the covers of capital costs because they use a consumption model that allows a firm to pay only for the resources they have consumed.

Because of this, IoT platforms are quite affordable for startups and small businesses who will incorporate new innovative solutions in their business activities.

Conclusion
It has become quite clear that IoT cannot work without cloud computing as the latter provides the necessary support structures, storage capabilities and real time data processing for the millions of connected devices that comprise the Internet of things. Making IoT platforms and IoT monitoring platform possible, cloud computing helps businesses get the intelligence they need and improve operational performance and innovation. Nonetheless, the integration of cloud and IoT is expected to receive support from evolving technologies such as edge computing and the fifth generation mobile network, or 5G. Collectively, these technologies are guiding the creation of a future that is enhanced by integration.

Read more: https://kacmun.com/customized-solo-tour-packages-for-spiritual-journeys/