Elasticity in clouds

\r\n Cloud elasticity refers to the ability of a cloud service to provide on-demand offerings, nimbly switching resources when demand goes up or down. It is often an immediate reaction to clients dropping or adding services in real time.Cloud elasticity is also known as rapid elasticity.Cloud elasticity is linked to various strategies such as resource pooling, multitenant storage and other ways that cloud providers use to provision their services. The idea is that the service should be able to quickly scale up or scale down according to an individual customer’s needs. Public cloud systems largely do this by having many clients on board at any given time and maintaining systems that can easily be re-provisioned to fit changing orders.IT experts make a distinction between cloud elasticity and cloud scalability. Having scalability or economy of scale means that the system can be built out feasibly from a smaller core. Elasticity on the other hand envisions a dynamic response to demand and supply volatility.Elasticity is the ability to grow or shrink infrastructure resources dynamically as needed to adapt to workload changes in an autonomic manner, maximizing the use of resources.This can result in savings in infrastructure costs overall. Not everyone can benefit from elastic services though. Environments that do not experience sudden or cyclical changes in demand may not benefit from the cost savings elastic services offer. Use of “Elastic Services” generally implies all resources in the infrastructure be elastic. This includes but not limited to hardware, software, QoS and other policies, connectivity, and other resources that are used in elastic applications. This may become a negative trait where performance of certain applications must have guaranteed performance. It depends on the environment.

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  • Cloud Scalability
  • Where Elasticity and Scalability Cross Paths
  • Scalability vs. Elasticity

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