Elastic Site: Using Clouds to Elastically Extend Site Resources

By Paul Marshall, K. Keahey, T. Freeman. 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010

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Elasticity in Cloud Computing: State of the Art and Research Challenges (2018, background): “such as [24], [27], [28], [32], [54], [55], [57], [63],”
A Survey on Cloud Computing Elasticity (2012, methodology): “Some academic works [21], [22] have addressed this issue combining local and public clouds resources.”
Cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds (2012, background): “[10], [11]) also allow to scale the cloud resource pool or to extend the capabilities of clusters using cloud-burst techniques.”
Cost optimized provisioning of elastic resources for application workflows (2011, background): “Marshall et al. [36] introduced Elastic Site, a virtual cluster composed of elastically provisioned resources.”
Cloud auto-scaling with deadline and budget constraints (2010, background): “[52] present three simple provisioning policies to dynamically acquire VMs in the cloud to increase the site capacity.”
Auto-scaling to minimize cost and meet application deadlines in cloud workflows (2011, methodology): “More recently, people have extended the idea into the cloud environment, such as [12][13][14].”