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Research Paper | Computer Science and Engineering | Volume 15 Issue 7, July 2026 | Pages: 2519 - 2523 | India
A Multi-Criteria Fault-Tolerance Framework for Reliable Web Services in Service-Oriented Architectures
Abstract: Reliable service delivery is difficult in service-oriented and cloud-native systems because transactions cross independently deployed components, networks, platforms, and third-party services. This paper presents a revised three-segment fault-tolerance framework that combines runtime monitoring, recovery controls, and multi-criteria decision making. Segment 1 detects abnormal conditions and identifies functionally equivalent service candidates. Segment 2 evaluates candidates by availability, response time, failure rate, recovery time, consistency, and resource cost; Analytic Hierarchy Process (AHP) derives transparent criterion weights and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) ranks the alternatives. Segment 3 executes and verifies the selected failover or replication action and returns operational evidence to the monitoring loop. The framework extends an earlier conceptual design with recent research on microservice quality attributes, Kubernetes fault behavior, resilience patterns, automated robustness testing, and adaptive load balancing. It also specifies analytical measures, implementation considerations, and an empirical validation protocol for future evaluation.
Keywords: fault tolerance, web services, service-oriented architecture, microservices, reliability, AHP, TOPSIS, quality of service
How to Cite?: Anurag Tiwari, Shyam Srivastava, Pawan Kumar, "A Multi-Criteria Fault-Tolerance Framework for Reliable Web Services in Service-Oriented Architectures", Volume 15 Issue 7, July 2026, International Journal of Science and Research (IJSR), Pages: 2519-2523, https://www.ijsr.net/getabstract.php?paperid=SR26730172613, DOI: https://dx.doi.org/10.21275/SR26730172613