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
- Arvind K Shukla, Balaji V, Dharani R, M Ananthi, R Padmavathy, Romala V. Srinivas, Precision agriculture predictive modeling and sensor analysis for enhanced crop monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Amanda Quist Okronipa, Isaac Asampana, Jones Yeboah Nyame, Exploring e-learning system loyalty: The role of system quality and satisfaction , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, A COVID Net-predictor: A multi-head CNN and LSTM-based deep learning framework for COVID-19 diagnosis , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Ratnakaram Raghavendra, Saila K. A. Reddy, Exploring cosmic ray energy loss mechanisms: Insights from Bethe-Bloch, modified bethe-bloch, and inverse compton scattering equations , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Ishwar Dan, Viksit Bharat @2047: A vision for India’s sustainable development , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Neha Dubey, The Impact of Societal Beauty Standards on Mental Health and Body Image of Women From Diverse Backgrounds , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Saroj Bala, Rajiv Ranjan Dwivedi, The Problematics of Parenthood in the Shiva Trilogy by Amish , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Deepesh Bhardwaj, Niyati Chaudhary, Blueprints of Green: Determining Key Determinants of Sustainable Real Estate Projects in Delhi NCR , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Raja Selvaraj, Manikandasaran S. Sundari, EAM: Enhanced authentication method to ensure the authenticity and integrity of the data in VM migration to the cloud environment , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- A. Sandanasamy, P. Joseph Charles, Distributed SDN control for IoT networks: A federated meta reinforcement learning solution for load balancing , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
<< < 5 6 7 8 9 10 11 12 13 14 > >>
You may also start an advanced similarity search for this article.

