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In computing, elasticity is defined as "the degree to which a system is able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at each point in time the available resources match the current demand as closely as possible".[1][2] Elasticity is a defining characteristic that differentiates cloud computing from previously proposed distributed computing paradigms, such as grid computing. The dynamic adaptation of capacity, e.g., by altering the use of computing resources, to meet a varying workload is called "elastic computing".[3][4]
In the world of distributed systems, there are several definitions according to the authors, some considering the concepts of scalability a sub-part of elasticity, others as being distinct.
- ^ Herbst, Nikolas; Samuel Kounev; Ralf Reussner (2013). "Elasticity in Cloud Computing: What It Is, and What It Is Not" (PDF). Proceedings of the 10th International Conference on Autonomic Computing (ICAC 2013), San Jose, CA, June 24–28.
- ^ Nikolas Herbst, Rouven Krebs, Giorgos Oikonomou, George Kousiouris, Athanasia Evangelinou, Alexandru Iosup, and Samuel Kounev. Ready for Rain? A View from SPEC Research on the Future of Cloud Metrics. Technical Report SPEC-RG-2016-01, SPEC Research Group - Cloud Working Group, Standard Performance Evaluation Corporation (SPEC), 2016. [1]
- ^ Cloud Computing Principles and Paradigms, John Wiley and Sons, 2011, ISBN 978-0-470-88799-8
- ^ Perez; et al. (15 June 2009), Responsive Elastic Computing, Association for Computing Machinery, ISBN 978-1-60558-578-9
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