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J. Hamzabegović

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Open access 2026

End-to-End Latency Decomposition in AI-Driven Web Applications: Rethinking Infrastructure in LLM Based Systems

An end-to-end latency decomposition framework for analyzing performance in AI-powered web applications and provides a practical methodology for identifying performance bottlenecks and offers actionable insights for optimizing AI-driven web systems is introduced.

J. Hamzabegović, Amel Džanić, Kenan Duraković · 0 citations

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