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Author

Ali Zafar Sadiq

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Conference Jul 2026

WaSMa: Workflow-Aware Scheduling for Multi-Agent LLM Systems

Public LLM services serve diverse multi-agent applications with varying workflow dependencies and performance requirements. Requests generated by these applications often exhibit commonality and interdependence, yet current systems largely ignore such application-level structure. As a result, at the LLM engine cluster...

Uttam Rao, Ali Zafar Sadiq, Hai-Ying Shen et al. · 0 citations
Conference Jul 2026

FlowGuard: Slack-Aware Overload Control for Multi-Agent LLM Serving

Multi-agent applications increasingly rely on shared large language model backends in the public cloud, where bursty workloads cause requests from different agents to contend for the same LLM instances, leading to long queues, memory imbalance, and severe tail-latency inflation. Existing approaches typically prioritize...

Ali Zafar Sadiq, Hai-Ying Shen · 0 citations

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