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IBM Storage Scale Lifecycle Management
High-performance solution for managing large-scaled data

Placement Policy Demonstration

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The data volume that organizations are building, analyzing and storing is larger than ever before. Only the organization that is able to faster deliver insights and manage fast-growing infrastructure can be the leader in the industry. To deliver these insights, the foundational storage of an enterprise must be able to support both the Big Data in the new era and traditional applications and provide excellent security, reliability and high performance. As a high-performance solution for managing large-scaled data, IBM Spectrum Scale provides unique archiving and analytics capabilities to help you address these challenges.

Experiment: Placement Policy Demonstration

353 already completed

Experiment Content:

This experiment is intended to let you understand the basic operations and concepts of the placement policies in IBM Storage Scale (GPFS) parallel file system.

Experiment Resources:

IBM Storage Scale 5.0.1 software
Red Hat Enterprise Linux 7.4 (VM)

Demo Video

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Challenges: Tiered Storage of Customer's Files

170 already completed

Challenge Background:

A financial service company has a image data system which contains lots of videos, photos, documents and archives. These videos and photos (mp4/mp3/jpg) need to be called and viewed most frequently, these documents (doc/xls/pdf) are accessed less frequently, and these archives for auditing purpose are accessed least frequently. It will help the company to place different types of files into the proper storage resource pools with different performance using the placement rules of Storage Scale.

Challenge Goal:

Log as admin/admin001 onto the graphic management interface of Storage Scale and configure a placement rule by which the files of mp4/mp3/jpg format are placed into ssdpool, the files of doc/xls/pdf format into the saspool, and files of rar/tar format into nlsaspool respectively, then use the touch command to create the files for mp4/doc/rar under the directory /gpfs to ensure these files can be written automatically into corresponding resource pools.

Challenge Rules:

1. Once the challenge starts, the system will start timing for 30min.
2. Click the "Submit Results" button on the upper left corner after the challenge task is completed.
3. The system evaluates your performance automatically and gives your challenge results and score.
4. Your score is ranked according to your time taken to challenge. The shorter your time is, the higher your rank is.

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Challenge Ranking List

Rank Nickname Time
柠檬糖ㄨ梦 2:1s
80468165 2:12s
wlzhu 2:26s
4 625426572 2:30s
5 lg_13606 2:33s

Discovery:Placement Policy Demonstration

13 already completed

Experiment Content:

This experiment is intended to let you understand the basic operations and concepts of the placement policies in IBM Storage Scale (GPFS) parallel file system.

Experiment Resources:

  • IBM Storage Scale 5.0.1 software
    Red Hat Enterprise Linux 7.4 (VM)

Tips

1. Discovery provides longer time for your experience;you are home free
2. Data will be cleared after the end of discovery
3. It is needed to finish the experiment and challenge first to start your discovery

Please start your challenge after you finish the experiment

Please start your discovery after you finish the challenge.

Please start your discovery after you finish the experiment.

Experiment Manual

The following content is displayed on the same screen for your experiment so that you can make any necessary reference in experiment. Start your experiment now!

  1. Log on the graphic management interface (GUI) of IBM Storage Scale(Duration: 3 mins)

    Click  Advanced...  -> Accept the Risk and Continue

    Input "admin" as name and "admin001" as password, and then click the "Sign In" button

    Log onto the Spectrum Scale management platform

  2. View resource pools(Duration: 5 mins)
    Navigate to the menu "Storage -> Pools" at the left.

    View all the resource pools currently managed by the system:

    - ssdpool: a resource pool consisting of high-performance disks, which is mainly used for storing hot data or the data with relatively high storage performance requirements
    - saspool: a resource pool consisting of medium-performance disks, which is mainly used for storing the data with medium storage performance requirements
    - nlsaspool: a resource pool consisting of low-performance disks, which is mainly used for storing warm data and the data that needs to be retained for a long term
    Note: In this demo scenario, the above-mentioned three storage resource pools of different performance levels will be used to store different types of business data, for example:
    • profiles in json or xml: refer to the files to be read/written by applications in real-time; we can configure a placement policy to write these files into ssdpool by default to meet their high-performance read/write requirements
    • videos and audios in mp4, avi, mov, mp3 or other formats: these files are of large size but accessed less frequently; we can configure a placement policy to write them into nlsaspool to meet their long-term retention and high cost performance requirements
    • Other types of files: to be placed into saspool by default
    Next, we will quickly configure three placement policies (default / highperf / lowperf) in the GUI of Spectrum Scale:
  3. Enter the Information Lifecycle Management page(Duration: 6 mins)
    Navigate to the Menu "Files -> Information Lifecycle" at the left

    View the list of policies at the left:

    Active Policy: refers to currently active policy rules
    Policy Repository: refers to the policy repository
  4. Create a policy(Duration: 5 mins)
    - Click into the Policy Repository tab page
    - Click the button "+" to create a new policy and name it as "mypolicy1"
  5. Configure the default placement rules(Duration: 5 mins)
    Note: Our purpose here is to let the common files without special statements be written into the resource pool "saspool" by default
    - Click to select the default rule "Placement default (*)" under mypolicy1
    - Edit the rule at the right as "pool = saspool" (meaning that all files are to be placed saspool by default)
    - Click the button "Apply Changes" to save your settings
  6. Create and configure the placement rules for files with high storage performance requirements(Duration: 5 mins)

    Note: Our purpose here is to let the files of json and xml format be written into ssdpool by default
    - Click the button "Add Rule" to create a new placement rule (Rule name: highperf; Rule type: Placement)

    - Edit the rule at the right as "pool = ssdpool"

    - Scroll down and edit the rule (Placement Criteria: Extension IN *.json, *.xml) as shown in the figure

    Click the button "Apply Changes" at the lower left corner to save your settings

  7. Create and configure the placement rules for files with low storage performance requirements(Duration: 5 mins)
    Note: Our purpose here is to let the files of mp4, mp3 and avi format be written into nlsapool by default
    - With reference to the figure in the previous step, click the button "Add Rules" to create a new placement rule (Rule name: lowperf; Rule type: Placement)
    - Edit the rule at the right as "pool = nlsaspool"
    - Edit the rule (Placement Criteria: Extension IN *.mp4, *.mp3,*.avi)
    - Click the button "Apply Changes" to save your settings
  8. Adjust the sequence of placement rules(Duration: 5 mins)
    Note: The purpose here is to ensure that the files with format declared can be written into their default resource pool preferentially
    - At the left, drag the "Placement default" rule to the bottom
    - Click the button "Apply Changes" at the bottom to save your settings
  9. Activate the policies(Duration: 5 mins)
    Note: The newly-created "mypolicy1" policy containing three placement rules does not take effect and is just registered in the Policy Repository. Next, we should activate all these rules.
    Scroll up to the top, right click to select mypolicy1 and then select "Apply as Active Policy"

    Click into the "Active Policy" tab page and view the list of active policies

    Till now, all the settings have been completed.
  10. Simulate writing files and verify the placement policies(Duration: 6 mins)

    Note: In this step, we will directly access the directory /gpfs at the GPFS server side, simulate writing three files of json, pdf and mp4 formats respectively, and check whether they are written automatically into the resource pools as set by rules
    - Find the PuTTY client in the taskbar at the bottom of desktop, which has logged into the GPFS server by default
    - Enter the gpfs directory
    # cd /ibm/gpfs
    - Crete a json file to be accessed most frequently, a pdf file to be accessed less frequently and a mp4 file to be accessed least frequently respectively, and simulate writing files into the gpfs directory
    # echo ‘aaa’ > a.json

    # echo ‘bbb’> b.pdf

    # echo ‘ccc’ > c.mp4
    - Use the commands of Spectrum Scale to verify the storage resource pools where the three test files are located
    # mmlsattr -L a.json

    # mmlsattr -L b.pdf

    # mmlsattr -L c.mp4
    View the values of "storage pool name" values in the output results, which should be normally displayed as follows:
    a.json -> ssdpool
    b.pdf -> saspool
    c.mp4 -> nlsaspool
    Through the simple tests described above, we can find that Spectrum Scale allows you to allocate proper resource pools for writing files by quick configuration. These tests only demonstrate the judgment conditions based on file suffix. You may test with other parameters, such as user or user group.

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Reserve Experiment Summary

Experiment Name:

Experiment Content: Placement Policy Demonstration
Migration Policy Demonstration
QoS Current-Limiting Demonstration

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IBM Storage Scale 多功能演示
放置(Placement)策略演示

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