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In distributed system and system resource, 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 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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