workload

Automated management of large-scale applications on Kubernetes (incubating project under CNCF)

Escalator is a batch or job optimized horizontal autoscaler for Kubernetes

State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 24+ tool for cloud computing research 🎓 Examples: https://github.com/cloudsimplus/cloudsimplus-examples

The NATS execution engine

A collection of tools to collect, analyze and replay SQL Server workloads, on premises and in the cloud

Enabling Kubernetes to make pod placement decisions with platform intelligence.

Fully automated database experiments. THIS IS A MIRROR OF https://gitlab.com/postgres.ai/nancy

CloudSimSDN is an SDN extension of CloudSim project to simulate Networking, SDN and SFC features in the context of edge and cloud data centers.

Software workload management tool for RISC-V based SoC research. This is the default workload management tool for Chipyard and FireSim.

A Julia-based job scheduler and workload manager inspired by Slurm, PBS and Crontab.

RWP*Load Simulator - your tool for scripting, simulation and much more. Like having a bit of bash and SQL, a nip of C or Java, a dash of awk, a grain of sed plus drops of secret sauce in one single tool. See https://blogs.oracle.com/database/rwploadsim-oracle-db-performance-simluator for the announcement on the Oracle database blog.

A collection of AI-driven tools designed to enhance productivity, streamline task automation, and make everyday work more manageable.

Automated code tool for Golang

Tool to generate workload on PayShield 10k or 9k for the sake of testing and demonstration.

Xiangshan deterministic workloads generator

A command-line tool to produce a constant, configurable, cyclical stream of (dummy) records against a Kafka Cluster Topic.

Generate workloads for Neo4j via Bolt and Cypher

A docker-based and Kubernetes-ready synthetic service mesh - Generating CPU, memory, disk, and network-intensive workloads with the ability to link services together

Code for paper "Locally Distributed Deep Learning Inference on Edge Device Clusters"

Multi-GPU CUDA based scheduler.