Fig 1: Represents the data usage from 2010 to all the way to 2024 in Zettabytes.
In all these changes happening around AI - Artificial Intelligence plays very crucial role in today’s software industry and all the major IT Companies are already utilising the AI features which has been a breakthrough in a recent day.
Since the data is growing the storage has become key-element in day-day activities. Earlier when the computers were discovered we had a storage on the bigger rooms and due to technological advancement now it has become very small, and we all are holding it in packet.
Here in this paper, I want to explain about the small part of the storage which helped our storage providers allocate/provision the storage to customers in a very efficient way.
We can provision a storage in two types:
[1] Thick Provisioning
Consider a scenario where, we have customer asking for 100GB of data, but he rarely uses 30-50GB and rest of the 50GB will sit idle. Even though we have storage available it is not usable. Like we have a laptop and having 2TB storage and it takes months/years to completely use this storage, but we still buy it right!? This way of provisioning the storage is called Thick Provisioning where the data is solely allocated to single user.
[2] Thin Provisioning
What if I tell you that we have a 1TB of storage and I can provision it to multiple customers, and it shows 1TB to all the customers even though they don’t have complete storage. Sounds little odd but its possible.
Consider a scenario where we have 4 customers, and everyone want 1TB of storage and using only 1TB of storage I can allocate it to all 4 customers and monitor the usage internally. Suppose two customers are using 200GB Each and other customer using 100GB each – Now 600GB is in use and 400GB is still free. As soon as we are near to 1TB we can add more storage according to usage and this type of provisioning is called Thin Provisioning
Below image represents the thin and thick provisioning visually and helps us to understand it in a better way.