Serverless Cost Optimization
Serverless Cost Optimization is a methodological framework within cloud cost-management strategies that specifically enables the minimization of operational expenditures in serverless computing environments by dynamically aligning resource allocation with workload demands and performance requirements.
10
Publications
327
Citations
33
Authors
19
Institutions
Publications per year
2017–2026
10
10
COSE: Configuring Serverless Functions using Statistical Learning
Nabeel Akhtar, Ali Raza, Vatche Ishakian et al. · 2020 · 87 citations
Video processing with serverless computing
Miao Zhang, Yifei Zhu, Cong Zhang et al. · 2019 · 44 citations
AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency
Jananie Jarachanthan, Li Chen, Fei Xu et al. · 2021 · 36 citations
SLAM: SLO-Aware Memory Optimization for Serverless Applications
Gor Safaryan, Anshul Jindal, Mohak Chadha et al. · 2022 · 26 citations
1–5 of 10
33
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 33
19
Akamai (United States)
Cambridge, United States
2 h-index
3 publications
196 citations
Boston University
Boston, United States
2 h-index
5 publications
240 citations

East China Normal University
Shanghai, China
2 h-index
2 publications
64 citations
University of Oregon
Eugene, United States
1 h-index
1 publications
28 citations
IBM Research - Haifa
Haifa, Israel
1 h-index
2 publications
30 citations
Information Technologies Institute
Thessaloniki, Greece
1 h-index
8 publications
120 citations
Simon Fraser University
Burnaby, Canada
1 h-index
3 publications
132 citations
Bentley University
Waltham, United States
1 h-index
1 publications
87 citations
1–8 of 19
TPDS · 1 publications · 26 citations
1
h-index
TMCCI · 2 publications · 50 citations
1
h-index
1 publications · 15 citations
1
h-index
TNSM · 1 publications · 22 citations
1
h-index
FGCS · 1 publications · 10 citations
1–5