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Kyle Tarplee's PhD Thesis Publications

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Book Chapters:

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K. M. Tarplee, R. Friese, A. A. Maciejewski, and H. J. Siegel, "Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing Systems,"
* Recent Advances in Computational Optimization*, Studies in Computational Intelligence Series, Vol. 580, edited by Stefka Fidanova, Springer, pp. 161-180, 2014.

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Serial Journal Articles:

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K. M. Tarplee, R. Friese, A. A. Maciejewski, H. J. Siegel, and E. K. P. Chong,
"Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques,"
*IEEE Transactions on Parallel and Distributed Computing,*
Vol. 27, No. 6, pp. 1633-1646, June 2016.

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K. M. Tarplee, R. Friese, A. A. Maciejewski, and H. J. Siegel,
"Scalable Linear Programming Based Resource Allocation Makespan Minimization in Heterogeneous Computing Systems,"
*Journal of Parallel and Distributed Computing,*
Vol. 84, pp. 76-86, 2015.

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K. M. Tarplee, A. A. Maciejewski, and H. J. Siegel,
"Robust Performance-Based Resource Provisioning Using a Steady State Model for Multi-Objective Stochastic Programming,"
*IEEE Transactions on Cloud Computing,*
Vol. 7, No. 4, pp. 1068-1081, Oct-Dec. 2019.

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Conference Proceedings and Presentations:

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K. Tarplee, R. Friese, A. A. Maciejewski, and H. J. Siegel,
"Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems,"
*Sixth Workshop on Computational Optimization (WCO'13),*
pp. 401-408, Krakow, Poland, Sept. 8-11, 2013. (Received “The 2013 Zdzislaw Pawlak Best Paper Award, by the Award
Committee of the 8th Symposium on Advances in Artificial Intelligence and Applications")

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K. Tarplee, A. A. Maciejewski, and H. J. Siegel,
"Energy-Aware Profit Maximizing Scheduling Algorithm for Heterogeneous Computing Systems,"
* ExtremeGreen 2014: Extreme Green & Energy Efficiency in Large Scale Distributed Systems,* in *2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, *
pp. 595-603, Chicago, IL, May 26-29, 2014.