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The Role of Cloud Computing in the Internet of Things (IoT)

  • cloudcomputing
  • internetofthings
  • IoT
  • knackforge

IoT in Cloud

IoT and cloud computing are two of the most popular technologies today. Even though these are two different technologies, it is fascinating to understand how cloud computing and IoT are interdependent. IoT and cloud computing are now two strongly interconnected future internet technologies, with one laying a foundation for success for the other.  

How Do IoT and Cloud Complement Each Other?  

Cloud computing is hailed as a new technology that is based on the concepts of scalability and agility. IoT activities can benefit from the widespread adoption of cloud solutions.  

The IoT and cloud computing aims to increase routine tasks' effectiveness, and the two work best together. The Internet of Things (IoT) produces a lot of data, but cloud computing makes it possible to move that data. Cloud service providers often use this benefit to offer a pay-per-use business model where clients only pay for the resources they use.   

1. Enables Remote Computing Capabilities:  

Cloud as technology empowers IoT to move beyond common appliances such as air conditioners, refrigerators, etc. This is because the cloud eliminates reliance on on-premise equipment due to its enormous storage capacity. The rise of downsizing and the move to 4G's faster internet connections will enable developers to transfer quick processing tasks to the cloud.  

2. Security & Privacy:  

With cloud technology and IoT, tasks may be completed automatically, helping enterprises significantly lower security hazards. IoT-enabled cloud technology is a solution that offers control that is preventive, investigative, and corrective. It also provides consumers with excellent security mechanisms with efficient authentication and encryption. IoT goods use protocols like biometrics to manage and secure user identities and data.  

3. Data Integration:  

Companies are trying to use linked devices to extract real-time information on critical business processes as the Internet of Things (IoT) continues to evolve. Although these devices increase operational effectiveness and reduce costs, they also produce enormous amounts of data that need to be more laborious to process, even for their analytics platforms. Cloud-based options are excellent in this situation. The cloud system can handle vast amounts of data sent from many sources thanks to its robust data integration capabilities. Therefore, data from linked devices and enterprise systems are processed, stored, and analyzed in the same place.  

4. Minimal Hardware Dependency:  

Currently, several IoT solutions provide plug-and-play hosting services, which are made possible by fusing the IoT with the cloud. To support the agility needed by IoT devices, cloud-enabled IoT hosting providers do not need to rely on any form of hardware or infrastructure. Organizations may easily transition to omnichannel communication and deploy large-scale IoT initiatives across platforms.  

5. Business Continuity: 

Cloud computing solutions are known for their adaptability and dependability. Cloud services sit on the top of a network of servers hosted in multiple locations. Their systems store copies of your data in various data centers. This redundancy allows IoT-based processes to keep running even if one of the servers goes offline for any reason. There is also no chance of data loss.  

6. Communication Between Multiple Devices:  

When it comes to IoT, the cloud serves as a bridge in the form of a mediator or communication facilitator. The cloud and IoT can communicate with each other and other connected devices via supporting several reliable APIs. Having cloud-supported communication helps fasten the interaction happen seamlessly.  

7. Pairing with Edge Computing  

Response times and data processing speeds are typically shortened and increased when coupled with edge computing and IoT technologies. IoT implementation with cloud computing and edge computing solutions is necessary for best utilization.  

Although cloud computing services help speed up IoT development, there are specific challenges in deploying these services successfully. A few challenges need to be resolved before combining IoT and the cloud.