At the same time, the scheduler will balance the resource allocation between elastic jobs with different priorities, For example, it supports high priority jobs to preempt the resources of the elastic replica of low priority jobs. When resources are scarce, The scheduler preempts first Elastic Pod Achieve volume reduction. įlexible operation allows Job The number of copies of is Range elasticity, among min by job Of minAvailable,max by job Number of copies, Flexible scheduling will give priority to minAvailable Pod Allocate resources, Ensure that the minimum resource requirements of each application are met first, If there are idle resources, The scheduler will be Elastic Pod Allocate resources, Speed up the computing process. V1.6.0 This version adds scheduling support for flexible jobs, coordination Volcano Job or Pytorch Job Flexible job management, Realization AI Training tasks 、 Acceleration of big data analysis, At the same time, it combines the Spot instance Realize cost reduction. Volcano v1.6.0 Introduction to key features 1.
#Idle master git hub code
In total 400+ Global developers contributed code to the project. Volcano Since the open source of the community, By many developers 、 Recognition and support from partners and users. 2022 year 4 month ,Volcano Officially promoted to CNCF Incubation projects. Volcano It is the first cloud native batch computing project in the industry, On 2019 year 6 Month in Shanghai KubeCon Official open source, And in 2020 year 4 Month be CNCF The official project. This version adds flexible job management 、 Dynamic scheduling based on real load 、 Rescheduling based on real load 、Volcano Job plug-in unit -MPI And other new features. In recent days, ,Volcano Community v1.6.0 Official release. This article is shared from Huawei cloud community 《 Volcano Community v1.6.0 Official release 》, author ： The future of cloud containers.
Abstract ：Volcano Community v1.6.0 Official release.
0 kommentar(er)
