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SARA: SLO-Aware Resource Allocation for Disaggregated Agentic LLM Services
Recent advances in large language models (LLMs) are driving the emergence of multi-modal and agentic services for mobile users through cloud and edge infrastructures, where long-context workloads pose daunting challenges for inference latency. Existing disaggregated LLM serving systems largely rely
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