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Ali Pahlevan
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2020 – today
- 2024
- [j6]Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza:
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. IEEE Trans. Sustain. Comput. 9(4): 661-676 (2024) - 2023
- [i1]Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza:
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. CoRR abs/2309.16333 (2023) - 2022
- [j5]Darong Huang, Ali Pahlevan, Marina Zapater, David Atienza:
COCKTAIL: Multicore Co-Optimization Framework With Proactive Reliability Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 386-399 (2022) - [j4]Darong Huang, Ali Pahlevan, Luis Costero, Marina Zapater, David Atienza:
Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5596-5609 (2022) - [j3]Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza:
MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. IEEE Trans. Serv. Comput. 15(1): 30-44 (2022) - 2021
- [j2]Ali Pahlevan, Marina Zapater, Ayse K. Coskun, David Atienza:
ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets. IEEE Trans. Sustain. Comput. 6(2): 289-305 (2021)
2010 – 2019
- 2019
- [c5]Arman Iranfar, Ali Pahlevan, Marina Zapater, David Atienza:
Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers. DATE 2019: 66-71 - 2018
- [j1]Ali Pahlevan, Xiaoyu Qu, Marina Zapater, David Atienza:
Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1667-1680 (2018) - [c4]Ali Pahlevan, Yasir Mahmood Qureshi, Marina Zapater, Andrea Bartolini, Davide Rossi, Luca Benini, David Atienza:
Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not? DATE 2018: 147-152 - [c3]Arman Iranfar, Ali Pahlevan, Marina Zapater, Martin Zagar, Mario Kovac, David Atienza:
Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation. DATE 2018: 949-954 - 2017
- [p1]Ali Pahlevan, Maurizio Rossi, Pablo García Del Valle, Davide Brunelli, David Atienza:
Joint Computing and Electric Systems Optimization for Green Datacenters. Handbook of Hardware/Software Codesign 2017: 1163-1183 - 2016
- [c2]Ali Pahlevan, Javier Picorel, Arash Pourhabibi Zarandi, Davide Rossi, Marina Zapater, Andrea Bartolini, Pablo García Del Valle, David Atienza, Luca Benini, Babak Falsafi:
Towards near-threshold server processors. DATE 2016: 7-12 - [c1]Ali Pahlevan, Pablo García Del Valle, David Atienza:
Exploiting CPU-load and data correlations in multi-objective VM placement for geo-distributed data centers. DATE 2016: 1333-1338
Coauthor Index
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