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Yang, Tong
3b1f73dece
Reviewed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com> Co-authored-by: Yang, Tong <yangtong2@huawei.com> Co-committed-by: Yang, Tong <yangtong2@huawei.com>
24 lines
3.3 KiB
HTML
24 lines
3.3 KiB
HTML
<a name="admin_guide_000093"></a><a name="admin_guide_000093"></a>
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<h1 class="topictitle1">Resource Overview</h1>
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<div id="body1529658735913"><p id="admin_guide_000093__en-us_topic_0041699831_p531163516541"><span id="admin_guide_000093__text3747619141411">MRS</span> cluster resources are classified into computing resources and storage resources. The multi-tenant architecture implements resource isolation.</p>
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<ul id="admin_guide_000093__u8fb606b5b3824f5dbee327bbe598bdf3"><li id="admin_guide_000093__lb38cd9a8e46b47f1be20e3c7fcf227f4"><strong id="admin_guide_000093__a301f221e07db41ce8333cccb1d48a297">Computing resources</strong><p id="admin_guide_000093__a764ec102bc654a8589d9aef3309f8e69">Computing resources include CPUs and memory. One tenant cannot occupy the computing resources of another tenant.</p>
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</li><li id="admin_guide_000093__l1e14ee8d180d4c9a8fdcdb6f60a8970e"><strong id="admin_guide_000093__b1149572471015">Storage resources</strong><p id="admin_guide_000093__a77c28e850a35461fa8f241661a8cab9a">Storage resources include disks and third-party storage systems. One tenant cannot access the data of another tenant.</p>
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</li></ul>
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<div class="section" id="admin_guide_000093__s1210f33066ae4f95b87a2da99793e332"><h4 class="sectiontitle">Computing Resources</h4><p id="admin_guide_000093__adbb10c2fcead42eab58ebd1dcc6cc089">Computing resources are divided into static service resources and dynamic resources.</p>
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<ul id="admin_guide_000093__u352a917062b848688f53f140a63788a2"><li id="admin_guide_000093__l49d15e9ee01c4218b33d614a4ee9a072"><strong id="admin_guide_000093__b6562203664715">Static Service Resources</strong><p id="admin_guide_000093__a2f493991632545a8840e6bbb2579b103">Static service resources are computing resources allocated to each service and are not shared between services. The total computing resources of each service are fixed. These services include Flume, HBase, HDFS, and Yarn.</p>
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</li><li id="admin_guide_000093__l9bdd3e21bd1e43da937c2bbc7f414703"><strong id="admin_guide_000093__b18521241135313">Dynamic Resources</strong><p id="admin_guide_000093__a4a15789f33d8436c98599fff3bcd0e54">Dynamic resources are computing resources dynamically scheduled to a job queue by the distributed resource management service Yarn. Yarn dynamically schedules resources for the job queues of MapReduce, Spark2x, Flink, and Hive.</p>
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</li></ul>
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<div class="note" id="admin_guide_000093__n2a71a3a79be14a67b366784881ebbd05"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="admin_guide_000093__ad6da3b55b939404191651d21d652a45f">The resources allocated to Yarn in a big data cluster are static service resources but can be dynamically allocated to job queues by Yarn.</p>
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</div></div>
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</div>
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<div class="section" id="admin_guide_000093__sf02c70c68c1e4a59b5af44eb48ace023"><h4 class="sectiontitle">Storage Resources</h4><p id="admin_guide_000093__a06ef3c0ff1084e17aa8bfc2c68e90f92">Storage resources are data storage resources that can be allocated by the distributed file storage service HDFS. Directory is the basic unit of allocating HDFS storage resources. Tenants can obtain storage resources from the specified directories in the HDFS file system.</p>
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<div class="familylinks">
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<div class="parentlink"><strong>Parent topic:</strong> <a href="admin_guide_000090.html">Technical Principles</a></div>
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</div>
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