Cloud technology has been dominating the B2B and B2C spheres with the delivery of IT infrastructure for the past few years. It is likely that the trend is going to stay for a while now. Furthermore, it also seems like the use of cloud-based software-as-a-service, platform-as-a-service and infrastructure-as-a-service will increase in different sectors in the years to come. But what’s next?
Learn the 3 technologies that are emerging nowadays and might work alongside cloud computing.
These technologies do seem to have the potential for becoming the future.
Sky Computing
At the University of California in Berkeley, professors Scott Shenker and Ion Stoica describe sky computing as “the layer above the clouds.” The technology is a newer cloud computing model and is also known as multi-cloud. Here, companies are free to choose their cloud services based on their needs.
The cloud will contain the infrastructure to manage different cloud systems and ensure that all run seamlessly as a part of the IT ecosystem. As per Shenker and Stoica’s belief, the sky will be built just like that of the internet, i.e., on a set of open protocols and standards.
Hybrid Cloud
The hybrid cloud has a common user interface and is an amalgamation of private and public cloud technology. The main reason behind its development is to offer the best of both worlds to organizations that handle different kinds of data with definite needs.
Let’s take the example of an e-commerce business. These businesses often select a public cloud system like Azure and AWS to store all their products or service-related information. It helps their customers to access information no matter where they are in the world.
Edge Computing
Unlike cloud computing which collects and sends data to distant or remote data centers for information processing, edge computing processes information at closer locations, i.e., usually at the point of collection. By processing information at the edge, you can save the cost of bandwidth. Eliminating the movement of data back and forth between the device and the data center also improves the speed.
One example of edge computing is the infrastructure that requires monitoring different self-driving cars. Some data- like the ones collected from cameras, sensors, or scanners – are not time-critical and can be sent to data centers for bulk storage. However, other data- like a vehicle that is driving erratically and has a chance of colliding- needs to be handled at the edge.
