Elasticity in Cloud Computing

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There are coefficients of elasticity across various other domains. Have you ever heard of elasticity in cloud computing? No worries, let’s make it very clear for you – what exactly does this term mean.

In cloud computing, elasticity is defined as the extent to which a system is able to cope up to the workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at the available resources are in synch with the current demand in real time, always.

Elasticity is a highly critical characteristic that differentiates cloud computing from any other technology.

Also, it is very different from Scalability. Don’t get confused.

Scalability is the ability to accommodate larger loads just by adding resources either making hardware stronger (scale up) or adding additional nodes (scale out) whereas Elasticity works on an entirely different principle.

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Just like a rubber pulley – depending on the load it adjusts itself, the on-fly adaptation of capacity by altering the use of computing resources in a Cloud, catering to a varying workload is actually Cloud Elasticity.

Scalability is all about the ad-on but Elasticity isn’t. Here the load may increase or decrease. When the load increases you back up by adding more resources and when demand wanes you shrink back and remove the undesired resources subtly.

Over allocating more resources than required is a potential threat to the user as he would be charged more wherein he could’ve got away easily with less money for the minimal usage. Also, when the resources are under-mined, it makes the processing slow; which too should be handled efficiently otherwise a Cloud’s reliability is compromised and questioned.

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