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|a Arabnia, Hamid R.
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|a Grid, Cloud, and Cluster Computing and Applications.
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|a Bloomfield :
|b C.S.R.E.A.,
|c 2018.
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|a 1 online resource (93 pages)
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|a The 2017 WorldComp International Conference Proceedings Ser.
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|a Print version record.
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|a GCC_Contents; ; GCC_Papers; Blank Page; Blank Page; Evaluating Cloud Auto-Scaler Resource Allocation Planning Under High-Performance Computing Workloads; 1 Introduction; 2 Background Information; 2.1 PEAS; 2.1.1 Underlying Queuing Model; 2.2 Formulation of the CCP; 2.3 Application of Scenario Theory; 3 Research Methodology; 3.1 Simulation Parameters; 3.2 Workloads Used; 3.3 Auto-scalers Used; 3.4 Distance Formulas Used; 4 Results; 4.1 Normalized Distance; 4.2 Modified Hausdorff Distance; 4.3 Over/Under-Provisioning; 4.4 OverT/UnderT; 4.5 ADI; 5 Conclusions; 6 Acknowledgment; 7 References.
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|a Tinetti, Fernando G.
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776 |
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|i Print version:
|a Arabnia, Hamid R.
|t Grid, Cloud, and Cluster Computing and Applications.
|d Bloomfield : C.S.R.E.A., ©2018
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|a 2017 WorldComp International Conference Proceedings Ser.
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