Edge Computing Training Institute in Bangalore

Edge Computing Training Institute in Bangalore: Because of the increase in connected devices, it will change the way we live, work and interact with technology. In the next 5 years there will be a rise in smart devices to around 75 billion globally, this we can name as a new era of hyper-connectivity.

These IoT devices are connected to the cloud to process data using the internet as a communication medium. This leads to high communication costs and also causes problems for some hard real-time delay-sensitive applications such as automated vehicles, video surveillance, manufacturing systems, etc.

It was seen that in technologies like IoT the delay involved in processing data using cloud resources will be high. It is necessary to perform computing, communication/networking and control locally leading to the idea of edge computing.

The edge can perform computing offline, data storage, caching and processing, distribution of data from cloud to user. The edge should have reliability, latency, security, and privacy firewalls

Edge Computing Training Institute in Hyderabad

Edge computing is a distributed computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth.[1] The origins of edge computing lie in content delivery networks that were created in the late 1990s to serve web and video content from edge servers that were deployed close to users. In the early 2000s, these networks evolved to host applications and application components at the edge servers, resulting in the first commercial edge computing services that hosted applications such as dealer locators, shopping carts, real-time data aggregators, and ad insertion engines.

Modern edge computing significantly extends this approach through virtualization technology that makes it easier to deploy and run a wider range of applications on the edge servers.

Some Important Factor for which we are using Edge Computing Training Institute in Bangalore:-

  1. Latency:-

Because of low latency, some applications may fail

E.g.: – Health care, Financial transactions, etc.

  1. Bandwidth:-

Some applications generate a big amount of data which it requires more bandwidth to send to the cloud

E.g.:- smart surveillance systems.

Some advantages of Edge Computing are:-

  1. Real-time data processing.
  2. Real-time control (M2M).
  3. Local data filtering and caching.
  4. At source data visualization.

Characteristics of Edge computing include:-

  1. Geographically distributed.
  2. Scalable.
  3. Autonomous and distributed.
  4. Low latency.
  5. Real-time interactions.

Overall Benefits:-

  1. Fast response time.    (Fastest response time for triggering.
  2. Secure                         (Locally stored)
  3. Cost-effective              (no need to transport everything to the cloud).
  4. Reliable operations     (can work without connectivity).