Search Results for "virtual%20cpu"

...The controller watches custom resources for changes and reflects those changes into the App Mesh API. The controller maintains the custom resources (CRDs): meshes, virtual nodes, virtual routers, virtual services, virtual gateways, and gateway routes. The custom resources map to App Mesh API objects. AppMesh controller supports monitoring the control plane with Prometheus and Grafana. AppMesh controller supports integration with multiple tracing solutions for data plane. AppMesh limits pod count per virtualNode. ...

Create fully functional virtual Kubernetes clusters with vcluster. Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces. vcluster itself is a certified Kubernetes distribution and is 100% Kubernetes API conform. Everything that works in a regular Kubernetes cluster works in cluster.

The Corosync Cluster Engine is a Group Communication System with additional features for implementing high availability within applications. The project provides four C application programming interface features. A closed process group communication model with extended virtual synchrony guarantees for creation of replicated state machines. A simple availability manager that restarts the application process when it has failed. A configuration and statistics in-memory database that provides the ability to set, retrieve, and receive change notifications of information. A quorum system that notifies applications when a quorum is achieved or lost. ...

Kalavai is a self-hosted platform that turns everyday devices into your very own AI cluster. Do you have an old desktop or a gaming laptop gathering dust? Aggregate resources from multiple machines and say goodbye to CUDA out-of-memory errors. Deploy your favorite open-source LLM, fine-tune it with your own data, or simply run your distributed work, zero-DevOps. Simple. Private. Yours.

...You can run Pelican on a single multiple core machine to use all cores to solve a problem, or you can network multiple computers together to make a cluster. The frontend node (either a real computer or a virtual machine) boots from the image. The compute nodes boot by PXE, using the frontend node as the server. All of the nodes of the cluster get their filesystems from the same image, so it is guaranteed that all nodes run the the same software. Packages can be added to all nodes using apt-get, thanks to aufs. The bootable image is created by running a single script, which takes advantage of the Debian Live infrastructure.

Setting up a Kubernetes cluster and Istio service mesh with vagrantfile which consists of 1 master(also as node) and 3 nodes. You don't have to create complicated CA files or configurations. Because using virtual machines to setup a distributed Kubernetes cluster will bring a high load on your computer, I created the lightweight Cloud Native Sandbox using Docker to set up a standalone Kubernetes.

Glass is a library for distributed computing. It's written in C++ and widely portable.

XCPU is a suite of tools for cluster management. It includes utilities for job starting, cluster resource management, scalable distribution of boot images as well as creation and control of virtual machines in a cluster environment.

CIMHA is aimed to create integrated suite to provision and manage HA clusters in virtual environment. It analyzes kernel/hardware health of cluster nodes by using VESPER(linux kernel prober) and migrates the Resources based on probe signals.

OpenECP is an open source fork of the Enomaly Elastic Computing Platform (ECP) following its commercialisation. It is a web-based management platform for hypervisors which can be used to create "public" and "private" cloud computing environments.

This project proposes the development of a system that automatically balances the load of virtualized servers, monitoring their resources and migrating virtual machines if necessary. The main goal of Vmbal is to improve the usage of server resources.

This project aims to modify Parallel Virtual Machine (PVM) to use benefits of RDMA-capable network interconnects, commonly used in HPC clusters.

This lets you used the PVM (parallel virtual machine) API from within Python.

JVMCluster Features: - clusterable Java Virtual Machine (based on PVM) - uses CPPVM as adapter layer to PVM - object persistent layer integrated into JVM - memory management unit is based on integrated relational database - JDBC/ODBC api to acces

Secure, effective and universal Virtual Operating System implementation; completely new VM design; simple but powerful rIPC mechanisms - see http://argante.sourceforge.net/advocacy.txt for more information.

General purpose, cross-platform, high-latency, high availability (HA) daemon. HA is achieved by IP-takeover of the virtual/HA server(s) by one or more real/redundant servers. Requires Perl 5. Designed for ease of deployment (for a HA system :-).

Freenomalism is a free, community based fork of the Enomalism web-based virtual infrastructure/cloud computing platform. The dashboard can help with issues including deployment planning, load balancing, migration, configuration management, and capacity.