Cost-Optimal Scheduling in Hybrid IaaS Clouds for Deadline Constrained Workloads

By R. V. D. Bossche, K. Vanmechelen, J. Broeckhove. IEEE International Conference on Cloud Computing, 2010

383 citations recorded by the source corpus.

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A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges (2016, background): “[34] studied the optimization problem imposing condition like execution of job is not preemptable and deadline constrained in a multi-provider hybrid cloud environment based on the requirements of data transmission, CPU and memory, the categorization of non-provider migrateable workloads is done.”
Auto-scaling to minimize cost and meet application deadlines in cloud workflows (2011, background): “, [26][27]) build strategies to distribute an application among multiple cloud providers to enhance availability with minimum cost.”
Cloud auto-scaling with deadline and budget constraints (2010, background): “[60] propose an binary integer programming approach to minimize job execution cost within deadlines in a hybrid cloud environment.”
A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing (2015, methodology): “[31] propose a model to minimize cost from a cloud users perspective.”
Cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds (2012, background): “'10 [38] - + + - - - + + - - + - - - - + - - - - - + Hirales-Carbajal et al.”