Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows

@article{Mao2013ScalingAS,
  title={Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows},
  author={Ming Mao and M. Humphrey},
  journal={2013 IEEE 27th International Symposium on Parallel and Distributed Processing},
  year={2013},
  pages={67-78}
}
  • Ming Mao, M. Humphrey
  • Published 2013
  • Computer Science
  • 2013 IEEE 27th International Symposium on Parallel and Distributed Processing
It remains a challenge to provision resources in the cloud such that performance is maximized and financial cost is minimized. A fixed budget can be used to rent a wide variety of resource configurations for varying durations. The two steps - resource acquisition and scheduling/allocation - are dependent on each other and are particularly difficult when considering complex resource usage such as workflows, where task precedence need to be preserved and the budget constraint is assigned for the… Expand
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