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Serverless on Machine Learning: A Systematic Mapping Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.6728openalex-snapshot
A serverless gateway for event‐driven machine learning inference in multiple clouds
inferredcites →https://doi.org/10.1002/spe.2944openalex-snapshot
Edge‐adaptable serverless acceleration for machine learning Internet of Things applications
inferredcites →https://doi.org/10.1007/978-3-030-25719-4_45openalex-snapshot
Inception and ResNet: Same Training, Same Features
inferredcites →https://doi.org/10.1007/978-3-030-58951-6_24openalex-snapshot
Data Poisoning Attacks Against Federated Learning Systems
inferredcites →https://doi.org/10.1007/978-3-030-67292-8_2openalex-snapshot
Architecting AI Deployment: A Systematic Review of State-of-the-Art and State-of-Practice Literature
inferredcites →https://doi.org/10.1016/j.asoc.2020.106582openalex-snapshot
Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend
inferredcites →https://doi.org/10.1016/j.future.2021.10.020openalex-snapshot
Serverless computing for Internet of Things: A systematic literature review
inferredcites →https://doi.org/10.1016/j.infsof.2015.03.007openalex-snapshot
Guidelines for conducting systematic mapping studies in software engineering: An update
inferredcites →https://doi.org/10.1016/j.jpdc.2023.104764openalex-snapshot
MLLess: Achieving cost efficiency in serverless machine learning training
inferredcites →https://doi.org/10.1016/j.jss.2020.110708openalex-snapshot
Function-as-a-Service performance evaluation: A multivocal literature review
inferredcites →https://doi.org/10.1088/1742-6596/1767/1/012016openalex-snapshot
A Hybrid Framework for Effective Prediction of Online Streaming Data
inferredcites →https://doi.org/10.1109/access.2020.2964386openalex-snapshot
A Cloud-Based Framework for Machine Learning Workloads and Applications
inferredcites →https://doi.org/10.1109/bigdata50022.2020.9378280openalex-snapshot
Automatic Tuning of Hyperparameters for Neural Networks in Serverless Cloud
inferredcites →https://doi.org/10.1109/bigdata52589.2021.9672067openalex-snapshot
FedLess: Secure and Scalable Federated Learning Using Serverless Computing
inferredcites →https://doi.org/10.1109/ccgrid.2018.00093openalex-snapshot
Implementation of Unsupervised k-Means Clustering Algorithm Within Amazon Web Services Lambda
inferredcites →https://doi.org/10.1109/ccgrid51090.2021.00096openalex-snapshot
High Performance Serverless Architecture for Deep Learning Workflows
inferredcites →https://doi.org/10.1109/cloud.2018.00049openalex-snapshot
Exploring Serverless Computing for Neural Network Training
inferredcites →https://doi.org/10.1109/cloud.2019.00043openalex-snapshot
Spock: Exploiting Serverless Functions for SLO and Cost Aware Resource Procurement in Public Cloud
inferredcites →https://doi.org/10.1109/cloud.2019.00067openalex-snapshot
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service
inferredcites →https://doi.org/10.1109/cloud.2019.00071openalex-snapshot
Seneca: Fast and Low Cost Hyperparameter Search for Machine Learning Models
inferredcites →https://doi.org/10.1109/ic2e.2018.00052openalex-snapshot
Serving Deep Learning Models in a Serverless Platform
inferredcites →https://doi.org/10.1109/ic2e.2019.00-10openalex-snapshot
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services
inferredcites →https://doi.org/10.1109/icdcs51616.2021.00022openalex-snapshot
Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning
inferredcites →https://doi.org/10.1109/icics52457.2021.9464618openalex-snapshot
Automatic Hyperparameter Optimization for Arbitrary Neural Networks in Serverless AWS Cloud
inferredcites →https://doi.org/10.1109/icin51074.2021.9385525openalex-snapshot
Leveraging the serverless paradigm for realizing machine learning pipelines across the edge-cloud continuum
inferredcites →https://doi.org/10.1109/icmla.2015.152openalex-snapshot
MLaaS: Machine Learning as a Service
inferredcites →https://doi.org/10.1109/icoin53446.2022.9687209openalex-snapshot
Serverless Computing Approach for Deploying Machine Learning Applications in Edge Layer
inferredcites →https://doi.org/10.1109/icphm49022.2020.9187061openalex-snapshot
Prognostics by classifying degradation stage on Lambda architecture
inferredcites →https://doi.org/10.1109/icrito48877.2020.9197837openalex-snapshot
Potential Bottleneck and Measuring Performance of Serverless Computing: A Literature Study
inferredcites →https://doi.org/10.1109/icsa.2017.24openalex-snapshot
Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption
inferredcites →https://doi.org/10.1109/icse-seip.2019.00042openalex-snapshot
Software Engineering for Machine Learning: A Case Study
inferredcites →https://doi.org/10.1109/iiswc53511.2021.00017openalex-snapshot
Cross-Platform Performance Evaluation of Stateful Serverless Workflows
inferredcites →https://doi.org/10.1109/infocom.2019.8737391openalex-snapshot
Distributed Machine Learning with a Serverless Architecture
inferredcites →https://doi.org/10.1109/issrew51248.2020.00047openalex-snapshot
Migrating Large Deep Learning Models to Serverless Architecture
inferredcites →https://doi.org/10.1109/mic.2021.3093105openalex-snapshot
Toward Sustainable Serverless Computing
inferredcites →https://doi.org/10.1109/ms.2020.3030199openalex-snapshot
Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf
inferredcites →https://doi.org/10.1109/percomworkshops48775.2020.9156239openalex-snapshot
STOIC: Serverless Teleoperable Hybrid Cloud for Machine Learning Applications on Edge Device
inferredcites →https://doi.org/10.1109/qrs54544.2021.00109openalex-snapshot
Log severity levels matter: A multivocal mapping
inferredcites →https://doi.org/10.1109/sc41405.2020.00073openalex-snapshot
BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching
inferredcites →https://doi.org/10.1109/soca.2019.00016openalex-snapshot
Serving Machine Learning Workloads in Resource Constrained Environments: a Serverless Deployment Example
inferredcites →https://doi.org/10.1109/synasc51798.2020.00015openalex-snapshot
Sustainable MLOps: Trends and Challenges
inferredcites →https://doi.org/10.1109/tc.2021.3054656openalex-snapshot
λDNN: Achieving Predictable Distributed DNN Training With Serverless Architectures
inferredcites →https://doi.org/10.1109/tcc.2020.3006751openalex-snapshot
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud
inferredcites →https://doi.org/10.1145/3366623.3368141openalex-snapshot
Function-as-a-Service Application Service Composition
inferredcites →https://doi.org/10.1145/3387940.3392268openalex-snapshot
Refactoring of Neural Network Models for Hyperparameter Optimization in Serverless Cloud
inferredcites →https://doi.org/10.1145/3423211.3425682openalex-snapshot
Prebaking Functions to Warm the Serverless Cold Start
inferredcites →https://doi.org/10.1145/3429880.3430093openalex-snapshot
Implications of Public Cloud Resource Heterogeneity for Inference Serving
inferredcites →https://doi.org/10.1145/3429880.3430100openalex-snapshot
Towards Federated Learning using FaaS Fabric
inferredcites →https://doi.org/10.1145/3445814.3446757openalex-snapshot
FaasCache: keeping serverless computing alive with greedy-dual caching
inferredcites →https://doi.org/10.1145/3447545.3451181openalex-snapshot
Distributed Double Machine Learning with a Serverless Architecture
inferredcites →https://doi.org/10.1145/3447545.3451184openalex-snapshot
Performance and Cost Comparison of Cloud Services for Deep Learning Workload
inferredcites →https://doi.org/10.1145/3448016.3459240openalex-snapshot
Towards Demystifying Serverless Machine Learning Training
inferredcites →https://doi.org/10.1145/3452413.3464789openalex-snapshot
SLA-aware Workload Scheduling Using Hybrid Cloud Services
inferredcites →https://doi.org/10.1145/3460231.3474604openalex-snapshot
You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack
inferredcites →https://doi.org/10.1145/3460866.3461769openalex-snapshot
Towards situational awareness with multimodal streaming data fusion
inferredcites →https://doi.org/10.1145/3464298.3494884openalex-snapshot
Experience Paper: Towards enhancing cost efficiency in serverless machine learning training
inferredcites →https://doi.org/10.1145/3468264.3468558openalex-snapshot
An empirical study on challenges of application development in serverless computing
inferredcites →https://doi.org/10.1145/3472456.3472501openalex-snapshot
AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency
inferredcites →https://doi.org/10.1145/3490386openalex-snapshot
Stateful Serverless Computing with Crucial
inferredcites →https://doi.org/10.1145/3503222.3507709openalex-snapshot
INFless: a native serverless system for low-latency, high-throughput inference
inferredcites →https://doi.org/10.1145/3514221.3517905openalex-snapshot
Serverless Data Science - Are We There Yet? A Case Study of Model Serving
inferredcites →https://doi.org/10.1145/3526073.3527584openalex-snapshot
Operationalizing machine learning models
inferredcites →https://doi.org/10.1186/s13677-021-00253-7openalex-snapshot
Survey on serverless computing
inferredcites →https://doi.org/10.18293/seke2021-129openalex-snapshot
Analyzing Open-Source Serverless Platforms: Characteristics and Performance (S)
inferredcites →https://doi.org/10.18653/v1/n18-5002openalex-snapshot
Pay-Per-Request Deployment of Neural Network Models Using Serverless Architectures
inferredcites →https://doi.org/10.3390/s22072665openalex-snapshot
A Systematic Literature Review on Distributed Machine Learning in Edge Computing
inferredcites →https://doi.org/10.48550/arxiv.1812.03651openalex-snapshot
Serverless Computing: One Step Forward, Two Steps Back
inferredcites →https://doi.org/10.5220/0009578501810192openalex-snapshot
Patterns for Serverless Functions (Function-as-a-Service): A Multivocal Literature Review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Exploiting Serverless Scalability for Dynamic Task Parallelism
inferred← citeshttps://doi.org/10.1007/978-3-032-22118-6_48openalex-snapshot
Cross Platform Robustness and Adversarial Resilience in Denial of Wallet Attack Detection for Serverless Application
inferred← citeshttps://doi.org/10.1007/978-3-032-26683-5_32openalex-snapshot
Detection of Stress in IT Employees Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-7214-1_29openalex-snapshot
Vulnerability Assessment and Patch Management in Serverless Data Analytics on Cloud Platform
inferred← citeshttps://doi.org/10.1007/978-981-96-7423-7_27openalex-snapshot
Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions
inferred← citeshttps://doi.org/10.1007/s00607-024-01377-9openalex-snapshot
Machine learning inference serving models in serverless computing: a survey
inferred← citeshttps://doi.org/10.1007/s00607-025-01473-4openalex-snapshot
Capacity planning of a microservices-based image classification application using analytic modeling
inferred← citeshttps://doi.org/10.1007/s10462-025-11164-3openalex-snapshot
Machine learning operations landscape: platforms and tools
inferred← citeshttps://doi.org/10.1007/s44443-026-00473-4openalex-snapshot
LACE: Mitigating cold-starts in serverless with a multi-task mixture-of-experts caching
inferred← citeshttps://doi.org/10.1016/j.cosrev.2024.100650openalex-snapshot
Auto-scaling mechanisms in serverless computing: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121397openalex-snapshot
Real-time air quality monitoring in Bull Trench Kiln-based Brick industry by calibrating sensor readings and utilizing the Serverless Computing
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115718openalex-snapshot
A self-supervised hierarchical contrastive spatio-temporal representation learning framework for urban environment context detection
inferred← citeshttps://doi.org/10.1016/j.mlwa.2026.100862openalex-snapshot
Emergence of serverless computing in cloud: A state-of-the-art review of challenges and opportunities
inferred← citeshttps://doi.org/10.1049/icp.2023.2520openalex-snapshot
On the benefits of optical disaggregated datacentre infrastructures for machine learning applications
inferred← citeshttps://doi.org/10.1109/access.2025.3599281openalex-snapshot
A Comprehensive Review on Scaling Machine Learning Workflows Using Cloud Technologies and DevOps
inferred← citeshttps://doi.org/10.1109/aiiot65859.2025.11105358openalex-snapshot
Applying Monolithic to Microservices Strategy for Elastic Container Deployment for AI Applications
inferred← citeshttps://doi.org/10.1109/edgecom62867.2024.00018openalex-snapshot
Pre-warming: Alleviating Cold Start Occurrences on Cloud-based Serverless Platforms
inferred← citeshttps://doi.org/10.1109/ic-etite58242.2024.10493296openalex-snapshot
Efficient and Secure Deep Learning Asynchronous Training in Serverless P2P Networks
inferred← citeshttps://doi.org/10.1109/ic2e59103.2023.00024openalex-snapshot
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning
inferred← citeshttps://doi.org/10.1109/icaice68195.2025.11382261openalex-snapshot
Machine Learning Algorithm Execution Model in Serverless Architectures
inferred← citeshttps://doi.org/10.1109/icaisd63055.2024.10895318openalex-snapshot
Unveiling Serverless: A Systematic Review of Software Architectures
inferred← citeshttps://doi.org/10.1109/icaiset66439.2026.11541414openalex-snapshot
Zero-Hop Semantic Retrieval on AWS Lambda Using In-Memory Vector Indexing
inferred← citeshttps://doi.org/10.1109/icatei67676.2025.11404917openalex-snapshot
Serverless Data Lake Architecture Using BigQuery and Cloud Functions
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Performance Validation of Server-Less Computing Using Machine Learning
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Bridging Data and AIOps for Future AI Advancements with Human-in-the-Loop. The AI-DAPT Concept
inferred← citeshttps://doi.org/10.1109/icict57646.2023.10134379openalex-snapshot
A Novel Technique to Improve Latency and Response Time of AI Models using Serverless Infrastructure
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Serverless AI Applications: Leveraging Azure Functions for Intelligent Automation
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A literature review on Cloud-Devops synergy for scalable and reliable machine learning lifecycle management
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SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture
inferred← citeshttps://doi.org/10.1109/sbac-padw60351.2023.00023openalex-snapshot
Exploring the Serverless First Strategy in Cloud Application Development
inferred← citeshttps://doi.org/10.1109/seaa64295.2024.00054openalex-snapshot
The Past, Present, and Future of Research on the Continuous Development of AI
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EneX: An Energy-Aware Execution Scheduler for Serverless Computing
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Mobility-Aware Seamless Virtual Function Migration in Deviceless Edge Computing Environments
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A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey
inferred← citeshttps://doi.org/10.1145/3631295.3631399openalex-snapshot
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Advancing Serverless Computing for Scalable AI Model Inference: Challenges and Opportunities
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The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training
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