Auto-scaling to minimize cost and meet application deadlines in cloud workflows

  title={Auto-scaling to minimize cost and meet application deadlines in cloud workflows},
  author={Ming Mao and Marty Humphrey},
  journal={2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
A goal in cloud computing is to allocate (and thus pay for) only those cloud resources that are truly needed. To date, cloud practitioners have pursued schedule-based (e.g., time-of-day) and rule-based mechanisms to attempt to automate this matching between computing requirements and computing resources. However, most of these "auto-scaling" mechanisms only support simple resource utilization indicators and do not specifically consider both user performance requirements and budget concerns. In… CONTINUE READING
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D. Menasc, E. Casalicchio
In Proc. of the 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, • 2004
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