Edge Computing: The Future of Cloud and IOT

After the advent of IOT and Cloud Services evolved a new computing paradigm, Edge Computing which calls for processing the data at the edge of the network. With the push from cloud services and pull from IoT, we envision that the edge of the network is changing from data consumer to data producer as well as data consumer.

What is Edge Computing ?

Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network. Data is increasingly produced at the edge of the network, therefore, it would be more efficient to also process the data at the edge of the network.

                                                      

The above figure illustrates the two-way computing streams in edge computing. In the edge computing paradigm, the things can not only request service and content from the cloud but also perform the computing tasks. Edge can perform computing offloading, data storage, caching and processing, as well as distribute request and delivery service from cloud to user. With those jobs in the network, the edge itself needs to be well designed to meet the requirement efficiently in services such as reliability, security, and privacy protection.

Edge over Cloud Services:

Putting all the computing tasks on the cloud has been proved to be an efficient way for data processing since the computing power on the cloud outclasses the capability of the things at the edge. However, compared to the fast developing data processing speed, the bandwidth of the network has come to a standstill. If a huge amount of data needs to be sent to the cloud for processing, the response time would be too long. So the data needs to be processed at the edge for shorter response time, more efficient processing and smaller network pressure. Thus edge computing is employed to get shorter response time.

Key Benefits of Edge Computing:

1. Better Reliability
2. Shorter Response Time
3. Less Bandwidth utilization
4. Security
5. Real-time data analysis is performed at the edge and not in a distant data center/cloud

Diginance and Edge Computing:

We, at Diginance, are all set ready to break the boundaries of traditional cloud computing with Edge Computing. The huge amount of sensor data from the equipment is transferred to the Edge Device which takes care of the initial processing and then to the cloud which in turn reduces the response time and bandwidth usage.
                                                                                 - Siva Shakthi ECE engineer, Diginance

For more updates on the technologies we work on, visit the below the LinkedIn page.

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