What question did this study set out to answer?

The aim is to enhance resource elasticity in cloud-native applications using a decentralized orchestration framework.

Towards Decentralized Hybrid Container Elasticity With Fault‐Tolerant Orchestration and Predictive, Risk‐Aware Thresholding

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Innovative framework improves resource allocation and performance in cloud-native applications, enhancing elasticity and fault tolerance.

The aim is to enhance resource elasticity in cloud-native applications using a decentralized orchestration framework.
Developed EffiScale framework with a decentralized microservice architecture.
Implemented a Byzantine fault-tolerant consensus protocol for resilient coordination.
Utilized machine learning for predictive thresholding to optimize scaling decisions.
Reduced response times and increased throughput during load testing.
Lowered overall resource usage compared to existing solutions.
Demonstrated effective management of dynamic containerized workloads.

Ahmadpanah et al. (2026) studied this question.

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