The Impact of Serverless Computing on IoT Application Development: A Study on Cold Start Latency and State Management Challenges

Serverless computing, notably Function-as-a-Service (FaaS), serves as an appropriate execution model for Internet of Things (IoT) applications because of its scalability and pay-as-you-go model.Paradigm shifts like this come with their own sets of challenges.This paper examines serverless computing's IoT application development impact on "cold start" and state management as primary challenges and considers their impacts.The analysis documents performance degradation suffered by ergonomically IoT-sensitive systems and correlates that suffering with the scale-to-zero principle of serverless economics.In addition, the inherent statelessness of FaaS complicates the design of stateful IoT applications.The focus of this research is on mitigation techniques and architectural patterns used to address the challenges and real-world case studies are analyzed to demonstrate that the model is effective with careful implementation.

Authors

Publication Details

Journal
Journal of Artificial Intelligence Machine Learning and Data Science
Published
2025-09-20
DOI
https://doi.org/10.51219/jaimld/naresh-kalimuthu/604
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Serverless Computing on IoT Application Development: A Study on Cold Start Latency and State Management Challenges

Naresh Kalimuthu
Journal of Artificial Intelligence Machine Learning and Data Science
Cloud Computing and Resource Management
article

The Impact of Serverless Computing on IoT Application Development: A Study on Cold Start Latency and State Management Challenges

Naresh Kalimuthu
article en

Abstract

Serverless computing, notably Function-as-a-Service (FaaS), serves as an appropriate execution model for Internet of Things (IoT) applications because of its scalability and pay-as-you-go model.Paradigm shifts like this come with their own sets of challenges.This paper examines serverless computing's IoT application development impact on "cold start" and state management as primary challenges and considers their impacts.The analysis documents performance degradation suffered by ergonomically IoT-sensitive systems and correlates that suffering with the scale-to-zero principle of serverless economics.In addition, the inherent statelessness of FaaS complicates the design of stateful IoT applications.The focus of this research is on mitigation techniques and architectural patterns used to address the challenges and real-world case studies are analyzed to demonstrate that the model is effective with careful implementation.

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 3(3)
Openalex Percentile: Top 61%
Cloud Computing and Resource Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Impact of Serverless Computing on IoT Application Development: A Study on Cold Start Latency and State Management Challenges — Naresh Kalimuthu · Journal of Artificial Intelligence Machine Learning and Data Science (2025) | TGRS Research Map | TGRS