Git Product home page Git Product logo

isabella232 / solutions-google-compute-engine-cluster-for-grid-engine Goto Github PK

View Code? Open in Web Editor NEW

This project forked from googlecloudplatform/solutions-google-compute-engine-cluster-for-grid-engine

0.0 0.0 0.0 49 KB

Grid Engine on Compute Engine provides a shell script to manage a Compute Engine cluster along with instructions on how to install and configure Sun Grid Engine on the Compute Engine cluster

License: Apache License 2.0

Shell 100.00%

solutions-google-compute-engine-cluster-for-grid-engine's Introduction

Google Compute Engine Cluster for Grid Engine


This repository is deprecated.

See Create a Grid Engine cluster on Google Compute Engine for instructions from the Google Genomics team.


Copyright

Copyright 2014 Google Inc. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Disclaimer

This sample application is not an official Google product.

Summary

This document describes how to bring up a cluster of Google Compute Engine (GCE) instances running Grid Engine. The result of following these instructions is illustrated in Figure 1 below.

Grid Engine Cluster Architecture

Figure 1: One Grid Engine Master instance and multiple Grid Engine Worker instances

Prerequisites

The application assumes you have a Google Cloud Platform project created and that Google Compute Engine services are enabled on the project.

Make sure to have the latest version of the Cloud SDK installed and added to your PATH environment variable.

Authenticaton and default project

After the installation of Cloud SDK, run the following command to authenticate:

gcloud auth login

The above command authenticates the user, and allows you to set the default project. The default project must be set to the project where the Grid Engine cluster will be deployed.

The project ID is shown at the top of the project's "Overview" page of the Developers Console.

The default project for Cloud SDK tools can be changed with the command:

gcloud config set project <project ID>

Environment

The application runs under the bash shell. It has been tested on Mac OS X and Linux.

Setup

The script cluster_setup.sh is used to create a cluster of Compute Engine virtual machine instances along with boot and data disks.

Instructions for installing and configuring Grid Engine are provided below.

  1. Edit cluster_properties.sh:

    a. Set CLUSTER_PREFIX

    default: my-grid

    b. Set MASTER_NODE_MACHINE_TYPE (see Machine Types)

    default: n1-standard-4

    c. Set MASTER_NODE_DISK_SIZE (see Persistent Disks)

    default: 500GB

    d. Set WORKER_NODE_MACHINE_TYPE (see Machine Types)

    default: n1-standard-4

    e. Set WORKER_NODE_DISK_SIZE (see Persistent Disks)

    default: 500GB

    f. Set WORKER_NODE_COUNT

    default: 2

    g. Set MASTER_NODE_SCOPE

    default: none

    If the master node will access Google Cloud Storage, set:

     MASTER_NODE_SCOPE=https://www.googleapis.com/auth/devstorage.full_control
    

    h. Set WORKER_NODE_SCOPE

    default: none

    If the worker node(s) will access Google Cloud Storage, set:

     WORKER_NODE_SCOPE=https://www.googleapis.com/auth/devstorage.full_control
    
  2. Run cluster_setup.sh:

     ./cluster_setup.sh up-full
    

    When completed you will have a master instance running named CLUSTER_PREFIX-mm and worker instances named CLUSTER_PREFIX-ww-INSTANCE_NUMBER where instances are numbered starting at 0.

    Each instance runs instance_startup_script.sh as a startup-script when it starts.

  3. Connect to the master:

     gcloud compute ssh <master_hostname> --zone <master_zone>
    
  4. Install the Grid Engine components:

     sudo apt-get install --yes \
       gridengine-client \
       gridengine-qmon \
       gridengine-exec \
       gridengine-master
    

    Configure SGE automatically? YES
    SGE cell name: default
    SGE master hostname: <enter your master hostname>

  5. On the master, set up Grid Engine:

     # Add your userid as a Grid Engine admin
     sudo sudo -u sgeadmin qconf -am $USER
    
     # Add your userid as a Grid Engine user
     qconf -au $USER users
    
     # Add the master as submission host
     qconf -as $(hostname)
    
     # Add the @allhosts group
     qconf -ahgrp @allhosts
    

    Just save the file without changes

     # Add the master to the list of hosts
     qconf -aattr hostgroup hostlist $(hostname) @allhosts
    
     # Register the main queue
     qconf -aq main.q
    

    Just save the file without changes

     # Add the @allhosts group to the main queue
     qconf -aattr queue hostlist @allhosts main.q
    
     # Set the slots attribute to the number of CPUs on each of the nodes (4).
     # On the master host, leave one (4-1 = 3) for the master process
     qconf -aattr queue slots "4, [$(hostname)=3]" main.q
    
  6. On the master, for each worker node:

     # Add the worker as a submit host
     qconf -as <worker_hostname>
    
     # Add the worker to the host list
     qconf -aattr hostgroup hostlist <worker_hostname> @allhosts
    
  7. For each worker node:

    a. Connect to the worker node:

         gcloud compute ssh <worker_hostname> --zone <worker_zone>
    

    b. On the worker node, install the Grid Engine components:

         sudo apt-get install --yes \
           gridengine-client \
           gridengine-exec
    

    Configure SGE automatically? YES
    SGE cell name: default
    SGE master hostname: <enter your master hostname>

Test

  1. Connect to the master:

     gcloud compute ssh <master_hostname> --zone <master_zone>
    
  2. On the master, run qhost:

     # You should get a list including the master and worker nodes
     qhost
    
  3. On the master, submit a test job:

     qsub /usr/share/doc/gridengine-common/examples/simple.sh
    
  4. On the master, check the job status:

     # The job will show in output until it is complete
     # The "queue" column will indicate the host that job runs on
     # Note that in this setup, the master is one of the available
     # execution nodes.
     qstat
    
  5. On the job execution node, check for the output. ls in your home directory on the execution node should show "simple.sh.e1 simple.sh.o1"

Cluster Lifecycle

You can now bring your cluster down either permanently or when you expect it to be idle for an extended period of time (and want to save money).

  • To bring down your cluster completely (destroys instances and disks):

    ./cluster_setup.sh down-full

  • To bring down your cluster and preserve the boot and data disks:

    ./cluster_setup.sh down

  • To bring up a cluster where the boot and data disks already exist:

    ./cluster_setup.sh up

    If you already ran the installation of Grid Engine as described above, then the cluster of instances should start along with Grid Engine. There is no need to re-run any part of the installation.

  • To bring up a cluster completely (creates instances and disks):

    ./cluster_setup.sh up-full

solutions-google-compute-engine-cluster-for-grid-engine's People

Contributors

mbookman avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.