IoT Cloud-based services refer to a collective group of cloud services that are designed exclusively to store and manage the data that is produced by IoT devices. Internet of Things or IoT devices contain built-in sensors for collecting and exchanging data from other devices using the internet. There are various kinds of devices ranging from health monitoring devices and household appliances to smart city infrastructure and industrial machines.
Here, IoT devices harness the capabilities of cloud computing, like analytics, storage capacity, scalability, and integration of modern technologies that include machine learning for controlling, monitoring, and connecting with various IoT devices.
Cloud computing technologies offer enormous capabilities to IoT devices. Some of the benefits include the following,
I) Management and Collection of IoT Data:
A) Device Management:
Cloud computing technologies allow IoT devices to register, monitor, and update information over the air (OTA), which is a popular term used to address embedded systems or sensors that use Wi-Fi networks. The user can track the device to manage and configure it even remotely.
B) Data Storing:
Generally, IoT devices generate vast amounts of data because they monitor and collect information in real-time. It necessitates the use of significant storage devices. Cloud-based solutions simplify such challenges by offering scalable storage capabilities suitable for any amount of data.
II) Data Processing & Analytics
Data Processing:
Cloud computing services offer real-time analytics that enables IoT data streaming. This feature enables IoT device holders to track live data insights instantly. They can monitor device performance or detect anomalies, if any.
Batch Analytics:
Batch analytics processes larger data sets in batches that allow the processing of IoT data in bulk and generating reports while applying machine learning algorithms.
Edge Computing:
Another new feature known as edge computing is available through specific platforms that process the data at the edge. This reduces bandwidth consumption as the local devices are provided access to process the data before moving to the cloud.
III) IoT Security:
Device Authorization and Authentication:
Cloud providers use secure communication protocols such as TLS, MQTT, and TLS to give access to only authorized devices.
Data Encryption:
Encryption is the process of disorganizing the original data into unreadable forms. The data, however, uses unique digital code to regain its original form. It extensively enables secure data. IoT cloud-based services employ encryption to safeguard the data.
Monitoring:
Cloud solutions monitor and identify any unusual activity on the IoT device and report in case of any possible threats. These devices take the list of predefined security rules and benchmarks as standard; any deviation from the specification triggers an alarm.
IV) Workflow Management
Triggering:
The user can create specific rules on the IoT platform; if any deviations occur, an alarm triggers, notifying the user about a possible difference. For instance, if the temperature on the sensor exceeds the permissible limit, there will be a notification in the form of an alarm.
Easy Integration with Other Devices:
IoT cloud-based services are capable of integrating with other business systems such as CRM and ERP that help in triggering workflows, generating reports and sending notifications.
V) Scalable and Flexible:
It is common for organizations that are operating in digital environments to process massive amounts of data. However, a systematic and capable mechanism is essential to the demanding needs. In such scenarios, cloud platforms offer reliable and scalable solutions without the need to invest in new hardware. Due to this reason, cloud solutions are emerging as a high-priority requirement for digital devices, especially IoT devices, for handling complex and massive data.
VI) Automation of Predictive Maintenance:
Cloud can integrate AI and machine learning technologies into their offerings, enabling users to predict the working condition of the IoT device easily and whether there will be any possible failures in the near future. This enables the device’s downtime to be reduced.
VII) AI Enable Computer Vision:
Another advantage of cloud solutions is that they integrate AI technologies into their offerings, extending the IoT camera’s capabilities to analyze either image or video data. Such capabilities help those cameras to find use across different applications, such as asset tracking, quality inspection, security surveillance, and many others.
Detecting Anomaly:
IoT devices generate data. AI helps to identify and segregate the data if any unusual pattern occurs, enabling us to find out potential failures of the device in real-time.
What are the Applications of IoT Cloud-based Services?
They find applications across various sectors, ranging from agriculture to the healthcare sector while catering to the needs of essentials to emergency services.
1) Smart Homes:
Automation of household systems is possible with IoT devices. They find integration in security, thermostats, and lighting systems.
2) Crop Cultivation:
Farmers are able to increase the crop production by adopting precision farming techniques to monitor environmental changes, manage crop cultivation, and develop smart irrigation systems.
3) Industrial IoT:
The IoT technology is finding use across the industrial sector for real-time operational monitoring, asset tracking, and predictive maintenance.
4) HealthCare Sector:
With the grim reality of increasing lifestyle diseases due to increasing pollutants, stress, unhealthy diet, and many more reasons, there is an increasing need for continuous monitoring of patients for chronic ailments such as diabetes. In such cases, IoT devices in the form of wearables and sensors are enabling remote monitoring.
5) Smart Cities:
Technology is helping smart city management by monitoring energy consumption, waste management, air quality, and traffic continuously.
Thus, IoT cloud-based services are turning out to be the chief cornerstone in the implementation of modern technology, particularly the IoT ecosystems. They enable the scale and security of data easily while deriving data insights for various devices across diverse industry sectors.