Towards near-threshold server processors. - Ali Pahlevan; Javier Picorel; Arash Pourhabibi Zarandi; Davide Rossi 001; Marina Zapater; Andrea Bartolini; Pablo García Del Valle; David Atienza; Luca Benini; Babak Falsafi (DATE, 2016)

Exploiting CPU-load and data correlations in multi-objective VM placement for geo-distributed data centers. - Ali Pahlevan; Pablo García Del Valle; David Atienza (DATE, 2016)

Joint Computing and Electric Systems Optimization for Green Datacenters. - Ali Pahlevan; Maurizio Rossi 001; Pablo García Del Valle; Davide Brunelli; David Atienza (Handbook of Hardware/Software Codesign, 2017)

Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation. - Arman Iranfar; Ali Pahlevan; Marina Zapater; Martin Zagar; Mario Kovac; David Atienza (DATE, 2018)

Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not? - Ali Pahlevan; Yasir Mahmood Qureshi; Marina Zapater; Andrea Bartolini; Davide Rossi 001; Luca Benini; David Atienza (DATE, 2018)

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers. - Ali Pahlevan; Xiaoyu Qu; Marina Zapater; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers. - Arman Iranfar; Ali Pahlevan; Marina Zapater; David Atienza (DATE, 2019)

ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets. - Ali Pahlevan; Marina Zapater; Ayse K. Coskun; David Atienza (IEEE Trans. Sustain. Comput., 2021)

Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers. - Darong Huang 003; Ali Pahlevan; Luis Costero; Marina Zapater; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

COCKTAIL: Multicore Co-Optimization Framework With Proactive Reliability Management. - Darong Huang 003; Ali Pahlevan; Marina Zapater; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. - Kawsar Haghshenas; Ali Pahlevan; Marina Zapater; Siamak Mohammadi; David Atienza (IEEE Trans. Serv. Comput., 2022)

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. - Darong Huang 003; Luis Costero; Ali Pahlevan; Marina Zapater; David Atienza (IEEE Trans. Sustain. Comput., 2024)

FiDe: Reliable and Fast Crash Failure Detection to Boost Datacenter Coordination. - Davide Rovelli; Pavel Chuprikov; Philipp Berdesinski; Ali Pahlevan; Patrick Jahnke; Patrick Eugster (USENIX ATC, 2025)