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cloud-forecast-data-persistence icon cloud-forecast-data-persistence

This repository contains the code that tests a cloud resource usage forecasting method based on the insight of data persistence, using timeseries of resource usage from publicly available datasets released by Alibaba, Azure, Google and Bitbrains.

cluster-resource-forecast icon cluster-resource-forecast

This repository contains experimental tools we developed to forecast a clusters' resource (CPU or memory) usage.

llm-inference-workload-eval icon llm-inference-workload-eval

This repository contains all the code used for the experimental analysis of the paper: The Importance of Workload Choice in Evaluating LLM Inference Systems.

vllm icon vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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