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Elasticity in Cloud computing is an ability of a system to scale up and down (request and release resources) in response to changes in its environment and workload. Elasticity can be achieved manually or automatically. Efforts are being made to automate elasticity in order to improve system performance under dynamic workloads. In this paper, the authors report their experience in designing an elasticity controller for a keyvalue storage service deployed in a Cloud environment. To design their controller, they have adopted a control theoretic approach. Automation of elasticity is achieved by providing a feedback controller that automatically increases and decreases the number of nodes in order to meet service level objectives under high load and to reduce costs under low load.
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