microsoft / autothrottleLinks
Codebase for Autothrottle (NSDI 2024)
☆47Updated last year
Alternatives and similar repositories for autothrottle
Users that are interested in autothrottle are comparing it to the libraries listed below
Sorting:
- ☆29Updated 2 years ago
- ☆22Updated 6 months ago
- Huawei Cloud datasets☆69Updated last month
- This repository includes the VM request traces of the top 20 tenants in 4 months of 2021 in Huawei Cloud.☆23Updated 3 weeks ago
- Serverless optimizations☆51Updated last year
- Kubernetes Scheduler Simulator☆110Updated 10 months ago
- ☆27Updated 4 years ago
- ☆44Updated 3 weeks ago
- ☆23Updated 4 years ago
- µBench is a tool for benchmarking cloud/edge computing platforms that run microservice applications. The tool creates dummy microservice …☆65Updated last week
- The source code of INFless,a native serverless platform for AI inference.☆38Updated 2 years ago
- A Hybrid Framework to Build High-performance Adaptive Neural Networks for Kernel Datapath☆27Updated 2 years ago
- ☆51Updated 11 months ago
- AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-Stage Serverless Workflows (ASPLOS'23)☆23Updated last year
- ☆25Updated 2 years ago
- FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute (USENIX ATC'21)☆55Updated 3 years ago
- ☆21Updated last year
- Helios Traces from SenseTime☆55Updated 2 years ago
- Source code for OSDI 2023 paper titled "Cilantro - Performance-Aware Resource Allocation for General Objectives via Online Feedback"☆38Updated last year
- Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale☆18Updated 5 years ago
- ☆36Updated last year
- A framework for trace-driven simulation of serverless Function-as-a-Service platforms☆70Updated 4 months ago
- Also, check our recent DeepRest based hybrid-cloud migration advisor Atlas by clicking on the link below.☆15Updated 3 weeks ago
- ☆190Updated 5 years ago
- This repository contains code for the paper: Bergsma S., Zeyl T., Senderovich A., and Beck J. C., "Generating Complex, Realistic Cloud Wo…☆43Updated 3 years ago
- ☆43Updated 11 months ago
- BATCH: Adaptive Batching for Efficient MachineLearning Serving on Serverless Platforms☆9Updated 3 years ago
- ☆18Updated 2 years ago
- Burstable Cloud Scheduler☆13Updated 11 months ago
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆19Updated last year