ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Context-Aware API Management Using Reinforcement Learning
Authors
Ankita Gorde
Keywords
Context-Aware API Management Using Reinforcement Learning
Abstract
In the evolving landscape of distributed systems and microservices, API gateways play a pivotal role in managing, monitoring, and securing service-to-service communication. Traditional API management approaches often lack adaptability to dynamic workloads, varying user contexts, and evolving threat landscapes. This paper introduces a novel approach to API management by leveraging Reinforcement Learning (RL) to create a smart, context-aware API gateway that adapts its policies in real-time based on environmental cues and usage patterns. The system incorporates a context detection module to interpret variables such as request frequency, source behavior, authentication status, and network load. A Reinforcement Learning agent dynamically adjusts API rate limits, caching strategies, and access policies to optimize performance, security, and reliability. Through simulation and comparative analysis, the proposed model demonstrates improved response time, reduced latency, and enhanced resilience against misuse and attacks. This work aims to bridge the gap between static rule-based API management and intelligent adaptive systems by enabling self-learning gateways tailored for modern cloud-native applications.
Full Paper, Downloads & Preview
How To Cite
"Context-Aware API Management Using Reinforcement Learning", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.9, Issue 6, page no.681-690, June-2024, Available :https://ijrti.org/papers/IJRTI2406100.pdf
Issue
Volume 9 Issue 6,
June-2024
Pages : 681-690
Other Publication Details
Paper Reg. ID: IJRTI_202158
Published Paper Id: IJRTI2406100
Downloads: 205,608
Research Area: Engineering
Country: -, -, India
Published Paper PDF: https://ijrti.org/papers/IJRTI2406100
Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI2406100
About Publisher
ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
UGC CARE Approved — Transparent Peer-reviewed journal aligned with UGC’s 2025 suggestive parameters.
Publisher: IJRTI (JW Publication)
Licence
© 2024 — Authors hold the copyright of this article.
This work is licensed under a
Creative Commons Attribution 4.0 International License
and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0),
which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
