Saeid Ghafouri

Orcid: 0000-0003-3799-5702

According to our database1, Saeid Ghafouri authored at least 13 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
2025
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Links

Online presence:

On csauthors.net:

Bibliography

2025
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency.
Proceedings of the Companion of the 16th ACM/SPEC International Conference on Performance Engineering, 2025

2024
Opinion Leader Detection in Online Social Networks Based on Output and Input Links.
Wirel. Pers. Commun., September, 2024

Influence maximization (IM) in complex networks with limited visibility using statistical methods.
J. Supercomput., March, 2024

HEET: A Performance Measure to Quantify Heterogeneity in Distributed Computing Systems.
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024

Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling.
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023
HEET: A Heterogeneity Measure to Quantify the Difference across Distributed Computing Systems.
CoRR, 2023

Smart-Kube: Energy-Aware and Fair Kubernetes Job Scheduler Using Deep Reinforcement Learning.
Proceedings of the 8th IEEE International Conference on Smart Cloud, 2023

Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems.
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

2022
Recommender System for Optimal Distributed Deep Learning in Cloud Datacenters.
Wirel. Pers. Commun., 2022

Mobile-Kube: Mobility-aware and Energy-efficient Service Orchestration on Kubernetes Edge Servers.
Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

2020
Automatic ICA detection in online social networks with PageRank.
Peer-to-Peer Netw. Appl., 2020

A survey on exponential random graph models: an application perspective.
PeerJ Comput. Sci., 2020

Consolidation of Services in Mobile Edge Clouds using a Learning-based Framework.
Proceedings of the 2020 IEEE World Congress on Services, 2020


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