A reliability- and latency-driven task allocation framework for workflow applications in the edge-hub-cloud continuum

Key Points

• The proposed framework improves task allocation in workflow applications, enhancing reliability metrics significantly.
• Latency metrics show a reduction of up to 30% in task processing time across diverse application scenarios.
• Observational analysis across multiple cloud environments evaluates the framework's effectiveness in real-time task allocation.
• This innovative approach may enable more responsive and dependable applications, especially in edge computing environments.