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Zbigniew T. Kalbarczyk

Power-aware Deep Learning Model Serving with µ-Serve
QLM: Queue Management for Large Language Model Serving
FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms
When Green Computing Meets Performance and Resilience SLOs
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction
QLM: Queue Management for Large Language Model Serving
On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management
PARM: Adaptive Resource Allocation for Datacenter Power Capping
AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
SIMPPO: A Scalable and Incremental Online Learning Framework for Serverless Resource Management
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
Evaluating Hardware Memory Disaggregation under Delay and Contention
Reinforcement Learning for Resource Management in Multi-tenant Serverless Platforms
Is Function-as-a-Service a Good Fit for Latency-Critical Services?
Delay Sensitivity-driven Congestion Mitigation for HPC Systems
FIRM: An Intelligent Fine-Grained Resource Management Frameworkfor SLO-Oriented Microservices