Search Results for "cloud simulation"
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Showing 41 open source projects for "cloud simulation"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Powerful App Monitoring Without Surprise BillsTired of monitoring tools that punish you for scaling? AppSignal offers transparent, predictable pricing with every feature unlocked on every plan. Track errors, monitor performance, detect anomalies, and manage logs across Ruby, Python, Node.js, and more. Trusted by developers since 2012 with free dev-to-dev support. No credit card required to start your 30-day trial.
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BioNeMo
BioNeMo Framework: For building and adapting AI models
BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications. -
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OSMO
The developer-first platform for scaling complex Physical AI workloads
OSMO is a developer-first orchestration platform designed to scale complex physical AI workflows across heterogeneous computing environments, including cloud GPUs, simulation clusters, and edge devices. It was originally built internally at NVIDIA to support robotics and embodied AI systems, where workflows span multiple stages such as data generation, training, simulation, and hardware testing. The platform addresses what NVIDIA refers to as the “three computer problem” by unifying these stages into a single pipeline defined through simple YAML configurations. ... -
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goodsKill
Microservices-based flash sale system for high-concurrency testing
goodsKill is a simulated flash sale microservices project built with Spring Cloud 2023.x, Spring Boot 3.x, and Dubbo 3.x. It provides a unified API for testing high-concurrency seckill scenarios while demonstrating modern backend architecture patterns. goodsKill integrates key components such as Nacos for service discovery and configuration, Redis and MongoDB for data handling, and Kafka or RabbitMQ for messaging. -
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Factorio
Factorio headless server in a Docker container
Factorio is an open-source project that provides a Docker container for running a headless Factorio game server. Factorio is a factory-building simulation game in which players automate production lines, research technologies, and manage complex industrial systems, and the repository focuses specifically on hosting the game server in a containerized environment. By packaging the server into a Docker image, the project simplifies the process of deploying and maintaining multiplayer servers across different operating systems and cloud environments. ... -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Google DeepMind GraphCast and GenCast
Global weather forecasting model using graph neural networks and JAX
GraphCast, developed by Google DeepMind, is a research-grade weather forecasting framework that employs graph neural networks (GNNs) to generate medium-range global weather predictions. The repository provides complete example code for running and training both GraphCast and GenCast, two models introduced in DeepMind’s research papers. GraphCast is designed to perform high-resolution atmospheric simulations using the ERA5 dataset from ECMWF, while GenCast extends the approach with... -
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Splunk Attack Range
A tool that allows you to create vulnerable environments
The Splunk Attack Range is an open-source project maintained by the Splunk Threat Research Team. It builds instrumented cloud (AWS, Azure) and local environments (Virtualbox), simulates attacks, and forwards the data into a Splunk instance. This environment can then be used to develop and test the effectiveness of detections. -
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PentestAgent
AI agent framework for black-box security testing
PentestAgent is an open-source autonomous security testing platform designed to help organizations identify vulnerabilities and assess security posture by simulating real-world attack scenarios without manual intervention. It brings a modular and automated approach to penetration testing by orchestrating a suite of tools and scripts that can emulate common exploitation techniques, reconnaissance workflows, and post-exploitation activities across targets. Users configure rules, policies, and... -
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WireMock.Net
WireMock.Net is a product for stubbing and mocking web HTTP responses
...It's easy to launch a mock API server and simulate a host of real-world scenarios and APIs - including REST, SOAP, OAuth2 and more. WireMock is a free API mocking tool that can be run as a standalone server, or in a hosted version via the WireMock Cloud-managed service. API mocking involves creating a simple simulation of an API, accepting the same types of request and returning identically structured responses as the real thing, enabling fast and reliable development and testing. -
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NVIDIA FLARE
NVIDIA Federated Learning Application Runtime Environment
NVIDIA Federated Learning Application Runtime Environment NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration. NVIDIA FLARE is built on a componentized architecture that allows you to take federated... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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DWSIM - Open Source Process Simulator
Simulate chemical processes using advanced thermodynamic models
DWSIM is an open source, CAPE-OPEN compliant chemical process simulator for Windows, Linux and macOS systems. Written in VB.NET and C#, DWSIM features a comprehensive set of unit operations, advanced thermodynamic models, support for reacting systems, petroleum characterization tools and a fully-featured graphical interface. DWSIM Pro is a commercial sibling of DWSIM built on top of open-source software. It offers extended features, comes with private support, and is accessible in the... -
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Tugeny
Tugeny is a tournament organization software.
...Bracket and schedule can be checked for completeness and consistency. While the tournament runs, results can be entered. Tournaments can by synchronized with Tugeny Cloud so that participants have mobile access to an up-to-date schedule and anyone authorized by the organizers can enter results online. The Cloud also provides statistics for finished tournaments. As a special feature, a simulation can be run to determine and find ways to improve the quality of a tournament bracket or the delay of a schedule. ... -
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Siddhi Core Libraries
Stream Processing and Complex Event Processing Engine
...Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. Scalable, and highly available distributed event processing on Kubernetes, with NATS Streaming and Siddhi Kubernetes Operator. -
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PDP-OmniSim
PDP-OmniSim simulating parallel and distributed processing systems
PDP-OmniSim 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for large-scale simulations of networked systems and their emergent behaviors. 🎯 Key Scientific Contributions 🔬 Interdisciplinary Research Domains Computational... -
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mometa
R&D-oriented low-code meta-programming, code visual editing, etc.
Mometa is not a traditional mainstream low-code platform (such as amis/Yunfengdie), mometa is a research and development-oriented, code visual design and editing platform; it is more like Dreamweaver, gui visual editing for programmers. The positioning of mometa is more based on the local development mode of programmers, adding the ability of visual coding (modification is also the local code file itself); it is more like an auxiliary coding tool, rather than No-Code (amis/Cloud Phoenix... -
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CloudGen is a new synthetic workload generator that allows the simulation of the network traffic created by cloud storage services in various realistic scenarios. More details can be found at: G. Gonçalves, I. Drago, A. B. Vieira, A. P. C. da Silva, J. M. de Almeida, and M. Mellia, “Workload Models and Performance Evaluation of Cloud Storage Services,” RT.DCC.003/2015, UFMG, Tech. Rep., 2015, http://homepages.dcc.ufmg.br/∼ggoncalves/techrpt/15003.pdf.
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Point Cloud Skinner for Blender
Python script (addon) for Blender to skin point cloud (verts to face).
...It can skin any shapes of point clouds, such as a surveyed geography point cloud that represents a landform somewhere, a fluid volumetric point cloud obtained by numerical fluid simulation, or anything you like. You can see some sample meshes that the script produced in "Results" part below. -
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SENDIM
Simulation, Emulation and Deployment Integration Middleware
SENDIM for Incremental Development of Cloud Networks An Orchestration Middleware for Incremental Development of Software-Defined Cloud Networks. This projects forks and builds on top of the project xSDN, an Expressive Simulator for Dynamic Network Flows. Please cite the below papers, if you used this project or referred to this in your work. Kathiravelu, Pradeeban; Veiga, Luis, "An Expressive Simulator for Dynamic Network Flows," Cloud Engineering (IC2E), 2015 IEEE International... -
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Fluid Gravity 3way
there are 3 observers to every curve, each seeing the other 2
I recently dug up some of my old simulations after to my surprise 3SAT and a theoretical expansion of boltzmann statistics reminded me I already simulated something like that but I didnt know how good a simulation it was. Check how the varying density and shape of electron clouds and soliton-like or fluid drop like blobs of field gradually start to point outward and get thinner, like a soliton is bell curve shaped as seen from outside. More importantly, compare the 2 halfs of electron cloud pressing against eachother after falling from random positions in 6 flat (x y z/size red green blue) or n dimensional sparse network of such bellcurves which overlap eachother to display the subtle changes in shape and dimension, and if you run it a few more times it sometimes randomly gets large or some parts very dark and moving inside the other, and I think I saw that electron orbital with the donut around the center and vibrating outward on the 2 axis. ... -
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Virus QSP Modeling
C++ and Python code for simulating RNA virus replication
Stochastic simulation model of poliovirus Sabin-to-Mahoney genetic state transition (C++ code). Models genotypes, virus populations, and quasispecies cloud. Simulates replication error and copy-choice recombination. Various parameters guiding the model are user-specified. Python code post-processes simulation output to produce report files. -
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iCanCloud
A cloud computing simulation platform
iCanCloud is a simulation platform aimed to model and simulate cloud computing systems, which is targeted to those users who deal closely with those kinds of systems. The main objective of iCanCloud is to predict the trade-offs between cost and performance of a given set of applications executed in a specific hardware, and then provide to users useful information about such costs. -
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Cloud2Sim
Adaptive and Distributed Architecture for Cloud/MapReduce Simulations
An Adaptive and Distributed Architecture for Cloud and MapReduce Algorithms and Simulations. Please cite the below papers, if you used this project or referred to this in your work. Kathiravelu, P. & L. Veiga (2014). An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures. In IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC 2014), London, UK. pp. 79 – 88. -
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CReST
CReST: The Cloud Research Simulation Toolkit
The Cloud Research Simulation Toolkit (CReST) is a cloud computing simulation platform written in Java. -
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ActiveFolder
ActiveFolder can be integrated with existed scientific computation.
Welcome to the ActiveFolder project, the open source for management simulataion data and reproducing. ActiveFolder provide data reproduction for comparative study and searching reproduction data, by storing data coupled with provenance information. ActiveFolder is integrated existed grid computing service and cloud services. And also, ActiveFolder can be integrated with existed scientific computation, analysis and visualization software without modification. -
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proposing a simulation system for modeling Cloud computing environments and performance evaluation of different resource scheduling policies and algorithms; focusing on simulation of scheduling in IaaS layer where related, performance evaluation of workload models and Cloud provisioning algorithms in a repeatable man- ner under different configurations and requirements is difficult.
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An easy-to-use simulator for decentralized distributed scheduling in Clusters, Grids, and Cloud ecosystem MaGate 2.0 is now available from github! https://github.com/huangye177/magate
