Ali Pahlevan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Recursive Neural Networks

Virtual Machine

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

IEEE Trans. Sustain. Comput.

Publications

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) (2024)
Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. CoRR (2023)
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) (2022)
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) (2022)
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) (2022)
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) (2021)
Arman Iranfar, Ali Pahlevan, Marina Zapater, David Atienza
Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers. DATE (2019)
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)
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)
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) (2018)
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)
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)