公开(公告)号：US20150121371A1

公开(公告)日：2015-04-30

申请号：US14329132

申请日：2014-07-11

Applicant: VMware, Inc.

Inventor： Jayanth GUMMARAJU ,  Yunshan LU ,  Tariq MAGDON-ISMAIL

IPC: G06F17/30 ,  G06F9/455

CPC classification number: G06F16/182 ,  G06F9/45533 ,  G06F9/45558 ,  G06F16/188 ,  G06F16/27 ,  G06F2009/45562

Abstract: A distributed computing application is described that provides a highly elastic and multi-tenant platform for Hadoop applications and other workloads running in a virtualized environment. Deployments of a distributed computing application, such as Hadoop, may be executed concurrently with a distributed database application, such as HBase, using a shared instance of a distributed filesystem, or in other cases, multiple instances of the distributed filesystem. Computing resources allocated to region server nodes executing as VMs may be isolated from compute VMs of the distributed computing application, as well as from data nodes executing as VMs of the distributed filesystem.

Abstract translation: 描述了一种分布式计算应用程序，为Hadoop应用程序和在虚拟化环境中运行的其他工作负载提供了高弹性和多租户平台。 分布式计算应用程序（如Hadoop）的部署可以与分布式数据库应用程序（例如HBase）一起使用分布式文件系统的共享实例或其他情况下分布式文件系统的多个实例同时执行。 分配给作为VM执行的区域服务器节点的计算资源可以与分布式计算应用的计算VM以及作为分布式文件系统的VM执行的数据节点隔离。

公开(公告)号：US20150120928A1

公开(公告)日：2015-04-30

申请号：US14062660

申请日：2013-10-24

Applicant: VMware, Inc.

Inventor： Jayanth GUMMARAJU ,  Richard MCDOUGALL ,  Michael NELSON ,  Rean GRIFFITH ,  Tariq MAGDON-ISMAIL ,  Razvan CHEVERESAN ,  Junping DU

IPC: H04L29/08 ,  G06F9/50

CPC classification number: H04L67/1008 ,  G06F9/5072 ,  G06F17/30194 ,  G06F2209/5011

Abstract: A distributed computing application is described that provides a highly elastic and multi-tenant platform for Hadoop applications and other workloads running in a virtualized environment. Data and compute nodes are separated into different virtual machines (VM). Compute VMs are used to launch containers from different tenants. Compute VMs are organized in pools of hot spare VMs that are immediately available for launching a container and executing a task, and pools of cold spare VMs. Each compute VM may include a mounted network filesystem provided by a node manager to share intermediate outputs across VMs executing on the same host.

Abstract translation: 描述了一种分布式计算应用程序，为Hadoop应用程序和在虚拟化环境中运行的其他工作负载提供了高弹性和多租户平台。 数据和计算节点分为不同的虚拟机（VM）。 计算虚拟机用于从不同的租户启动容器。 计算虚拟机组织在可以立即可用于启动容器和执行任务的热备用虚拟机池以及冷备用虚拟机池中。 每个计算VM可以包括由节点管理器提供的安装的网络文件系统，以跨越在同一主机上执行的VM共享中间输出。

公开(公告)号：US20150058843A1

公开(公告)日：2015-02-26

申请号：US14311755

申请日：2014-06-23

Applicant: VMWARE, INC.

Inventor： Anne HOLLER ,  Jayanth GUMMARAJU ,  Kinshuk GOVIL ,  Benjamin J. CORRIE ,  George HICKEN

IPC: G06F9/455 ,  G06F9/50 ,  G06F9/48

CPC classification number: G06F9/455 ,  G06F9/45533 ,  G06F9/45558 ,  G06F9/48 ,  G06F9/50 ,  G06F9/5088 ,  G06F2009/4557

Abstract: A distributed computing application is described that provides a highly elastic and multi-tenant platform for Hadoop applications and other workloads running in a virtualized environment. Multiple instances of a distributed computing framework, such as Hadoop, may be executed concurrently. A centralized manager detects when contention for computing resources, such as memory and CPU, causes tasks to run slower on VMs executing on a given host, and scales up or scales down a cluster based on the detected resource contention.

Abstract translation: 描述了一种分布式计算应用程序，为Hadoop应用程序和在虚拟化环境中运行的其他工作负载提供了高弹性和多租户平台。 诸如Hadoop的分布式计算框架的多个实例可以同时执行。 集中式管理器检测在诸如内存和CPU之类的计算资源的竞争情况下，导致任务在给定主机上执行的VM上运行速度较慢，并且基于检测到的资源争用来扩展或缩小集群。

公开(公告)号：US20150120791A1

公开(公告)日：2015-04-30

申请号：US14062723

申请日：2013-10-24

Applicant: VMWARE, INC.

Inventor： Jayanth GUMMARAJU ,  Yunshan LU ,  Razvan CHEVERESAN

IPC: G06F17/30 ,  G06F9/455

CPC classification number: G06F17/30194 ,  G06F9/45558 ,  G06F2009/45575

Abstract: A distributed computing application is described that provides a highly elastic and multi-tenant platform for Hadoop applications and other workloads running in a virtualized environment. Production, test, and development deployments of a Hadoop application may be executed using multiple compute clusters and a shared instance of a distributed filesystem, or in other cases, multiple instances of the distributed filesystem. Data nodes executing as virtual machines (VMs) for test and development deployments can be linked clones of data nodes executing as VMs for a production deployment to reduce duplicated data and provide a shared storage space.

Abstract translation: 描述了一种分布式计算应用程序，为Hadoop应用程序和在虚拟化环境中运行的其他工作负载提供了高弹性和多租户平台。 Hadoop应用程序的生产，测试和开发部署可以使用多个计算集群和分布式文件系统的共享实例，或者其他情况下分布式文件系统的多个实例来执行。 作为用于测试和开发部署的虚拟机（VM））执行的数据节点可以是作为生产部署的VM执行的数据节点的链接克隆，以减少重复的数据并提供共享存储空间。