A resilience framework for fault-tolerance in cloud-based microservice applications
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.23Keywords:
Bulkhead, little law, Fault tolerance, Auto Retry Circuit Breaker (ARCB), Resilience, framework, microservicesDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Cloud-distributed systems offer significant opportunities for fault-tolerant applications. Microservices have gained significant acceptance as a cloud-based architecture for building fault-tolerant cloud applications. The primary aim of this study is to develop a dependable resilience framework, incorporating appropriate design patterns, that can be applied to any cloud applications. This framework combines a bulkhead utilizing a little law approach and an auto-retry circuit breaker, which can be seen as a fault tolerance pattern. This will eliminate the need for manual setting of design patterns, resulting in maximum throughput, availability of resources and the performance can be increased up to 55.3% from the average execution duration.Abstract
How to Cite
Downloads
Similar Articles
- Neha Saini, Rashmi Verma, Rabia Basri Aziz, Ashmita Bhatt, Hem Chandra Pant, Naveen Gaurav, Effect of Growth Regulators on Direct Clonal Propagation and Analysis of Total Phenolic Content of Wild and Propagated Mucuna pruriens , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Deepa Ramachandran VR VR, Kamalraj N, Hybrid deep segmentation architecture using dual attention U-Net and Mask-RCNN for accurate detection of pests, diseases, and weeds in crops , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- Merla Agnes Mary, Britto Ramesh Kumar, Hybrid GAN with KNN - SMOTE Approach for Class-Imbalance in Non-Invasive Fetal ECG Monitoring , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Sadhana Gaikwad, Rajvardhan, Overview on biased news reporting of Indian television with legal aspect , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- D. Padma Prabha, C. Victoria Priscilla, A combined framework based on LSTM autoencoder and XGBoost with adaptive threshold classification for credit card fraud detection , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Hemang Shah, Archana Gadekar, Artificial intelligence and intellectual property rights with special reference to patent and copyright , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Sujay Bhalchandra, Nilesh D. Shinde, An exploratory study of factors influencing manufacturer-dealer relationship in Indian automobile industry , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Saloni M. Thacker, S. Z. Zubair Ahmed, Anaurene Roy, Influence of loneliness on self-esteem and mental wellbeing in non-domicle postgraduate students in Bangalore , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- S. Aasha, R. Sugumar, Lightweight Feature Selection Method using Quantum Statistical Ranking and Hybrid Beetle-Bat Optimization for Smart Farming , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
<< < 2 3 4 5 6 7 8 9 10 11 > >>
You may also start an advanced similarity search for this article.
