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ORCIDKyle M. Tarplee
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2010 – 2019
- 2019
[j3]Kyle M. Tarplee
, Anthony A. Maciejewski, Howard Jay Siegel:
Robust Performance-Based Resource Provisioning Using a Steady-State Model for Multi-Objective Stochastic Programming. IEEE Trans. Cloud Comput. 7(4): 1068-1081 (2019)- 2016
- [j2]Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel, Edwin K. P. Chong:
Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques. IEEE Trans. Parallel Distributed Syst. 27(6): 1633-1646 (2016) - 2015
- [j1]Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel:
Scalable linear programming based resource allocation for makespan minimization in heterogeneous computing systems. J. Parallel Distributed Comput. 84: 76-86 (2015) - 2014
- [c3]Kyle M. Tarplee, Anthony A. Maciejewski, Howard Jay Siegel:
Energy-Aware Profit Maximizing Scheduling Algorithm for Heterogeneous Computing Systems. CCGRID 2014: 595-603 - 2013
- [c2]Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel:
Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing Systems. WCO@FedCSIS 2013: 161-180 - [c1]Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel:
Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems. FedCSIS 2013: 401-408
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