Internet of Things is the most trending technology which allows the operations without the need for any physical existence. With the number of things being connected to the internet is increase day by day. The major challenge is to process the data that is being generated. According to the analyst house Gartner there will be 25 billion devices will be connected to the internet by 2021.
There is a need to introduce cloud computing along with IoT which goes hand in hand. The server storage waste will get reduced on physical servers with the introduction of cloud computing. The way of looking at the cloud needs to be changed as more and more business are adopting IoT devices.
Working of IoT with Cloud leads to:
Rising of Edge Computing:
All the data which is generated by the IoT will be processed by cloud computing. Tons of data will be created by IoT devices which need not be processed which should be handled by the cloud. This problem can be solved with the introduction of Edge Computing. Edge computing will reduce the effect of cloud computation, storage, bandwidth and leaves high power on the cloud.
Edge computing processes data closer to IoT sources before sending it to the cloud. Edge computing will only help balance the workload that the cloud system has to do, preventing IoT from flooding cloud power. Edge computing will not completely eliminate the cloud requirements for IoT. Indeed, most IoT devices will still depend on the cloud to store all processed data.
Like all the computers, IoT devices need security measures for the prevention of attacks outside the network. Devices which have no connection to the network usually poses low-security risks whereas the devices which connect to the network usually experiences security threats. IoT devices are easier or harder to hack than computers. Because IoT devices are connected to the same channels as normal devices, that means they have the potential to act as lightning rods for DDoS and other botnet attacks. It may be easy to assume that devices that are not traditionally connected will not be a big threat once they become smart. In fact, they must be treated like computers or other mobile devices.
Scalability and visibility:
For the proper communication of cloud with IoT devices had to ensure the working of software to be done properly just like other computers.cloud networks have to see all the IoT devices if they are going to work with them. IoT devices should be capable of creating the information and address for the cloud to interpret. Depending on the number of devices it detects cloud network should have to scale up and down which is the most important thing as there will be chances of increasing the number of devices.
Potential problems between IoT and cloud:
Devices that carry the IoT label are basically sensors that collect data and send it for processing, usually through several mathematical components. Consider a smart car that sends fuel-saving data back to the factory. Not only the raw data of each car is sent, but also factors such as road surface, tire quality, outside temperature and average speed.
All of this data is uploaded to the cloud where the car manufacturer’s business intelligence tool performs calculations and analysis, then generates large data sets. This data collection is then downloaded to the car manufacturer for analysis. IoT devices play a little more than the messenger role but the problem itself that we will touch later. You have two very sophisticated machines on IoT devices and cloud, but one of them does almost all heavy lifting, which can make it show considerable tension for its efforts.
Even though technology is minded at their core, IoT and cloud computing have several conflicting properties which are factors in this tension. In general, cloud computing resources are quite cheap in terms of availability, can perform tasks quickly and are flexible enough for the needs of every user they serve. And the user’s location is irrelevant to use with the cloud, as long as you have the Internet, you can connect.
The purpose of IoT is to make applications, services and devices everywhere possible, all of which allow the collection of large amounts of data about the user and consumer preferences.