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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
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Article . 2025
License: CC BY
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ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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FORTRESS: A framework for fault-tolerant transaction processing in multi-cloud E-commerce ecosystems

Authors: Bhogireddy, Vijaya Lakshmi;

FORTRESS: A framework for fault-tolerant transaction processing in multi-cloud E-commerce ecosystems

Abstract

This comprehensive framework for managing transactional integrity in distributed cloud environments supports high-volume e-commerce operations across multiple regions. The challenges posed by system failures in deployments where transactions span payment gateways, inventory systems, and fulfillment services require innovative solutions. The proposed architecture combines adaptive consistency models with event-sourcing patterns to maintain transaction guarantees during network partitions and regional outages. A modified saga pattern with compensation transactions preserves the logical atomicity of distributed operations while avoiding the limitations of traditional two-phase commits. Experimental evaluations conducted on a simulated global e-commerce platform demonstrate significant improvements in recovery time, transaction throughput during degraded operations, and overall system availability. These findings highlight the effectiveness of fault-tolerant transaction management in maintaining customer trust through consistent transaction processing while enabling the scalability required for seasonal demand fluctuations in modern e-commerce environments.

Related Organizations
Keywords

Distributed transactions, Fault tolerance, Transaction integrity, E-commerce systems, Multi-cloud architecture

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold