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①吹き出しをクリック②質問を入力③ Sendをクリック
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© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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CPU
< >(queueing)
(dispatch)
dispatch
B A
A B
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従来は処理のピークに合わせてリソースを予め用意していた。ピーク時に賄えないリソースは、ジョブスケジューラにより、処理するタイミングをずらして対応
クラウドの場合はその時に必要なリソースを立ち上げて、処理を実行する
Time
Time
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従来は手持ちの限られたリソースで、逐次処理していたジョブもクラウドであれば必要な台数、インスタンスを起動して、一斉処理が可能
のインスタンス費用は原則「時間×台数」なのでどちらもほぼ同じコスト
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オンプレミス環境
従来のクラスタ構成は固定
固定のリソースに、ジョブをスケジューリング
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クラウド環境従来のクラスタ構成は固定
オンプレミス環境
固定のリソースに、ジョブをスケジューリング
クラウド環境
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
必要に応じて必要な台数でクラスタを構成ジョブをスケジューリング
従来のクラスタ構成は固定
オンプレミス環境
固定のリソースに、ジョブをスケジューリング
クラウド環境
クラウド環境
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従来のクラスタ構成は固定
ジョブが終了したらインスタンスを終了計算ノードの課金が停止
オンプレミス環境
固定のリソースに、ジョブをスケジューリング
クラウド環境
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© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Media & Entertainment:
Healthcare & Life Sciences:
Internet Companies:
Scientific Research:
Engineering and Design:
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
上に コアを伸縮自在に追加するシステムを構築。 万ジョブを処理し、従来 週間かかるシミュレーションを 日で完了
ドライブヘッド設計で、数百万パターンに及ぶパラメータスタディ実行。ピーク時 以上のコアを同時利用、従来 ヶ月かかる処理を 時間で完了
万の化合物のスクリーニング実行。ピーク時約 コアを同時利用し 年分の計算処理を 時間で完了
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© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
• がインスタンスの起動や停止を行うため、スケジューラや計算ノードなどの管理が不要
• ジョブは コンテナイメージを元に作成し、自動でスケールするコンピューティング環境で実行する
• コンピューティング環境ではインスタンスタイプや 数、スポットインスタンス利用有無などを任意に指定可能
• 万 クラスの大規模な計算にも対応で管理
処理を依頼
スケジュール実行
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インスタンス
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インスタンス
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Submitted
Runnable
Starting
Running
Succeeded FAILED
Pending
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$AWS_BATCH_JOB_ARRAY_INDEX
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•“Job-A”
“Job-B”
“Job-A”
Job-A:0
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Job-A:1 Job-A:2
Job-A:3 Job-A:4 Job-A:5
Job-A:97 Job-A:98 Job-A:99
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“Job-A”
Job-A:0
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Job-A:1
Job-A:99
Job-A:2
“Job-A”
Job-A:0
…
Job-A:1 Job-A:2
Job-A:3 Job-A:4 Job-A:5
Job-A:97 Job-A:98 Job-A:99
“Job-B”
“Job-B”
Job-B:0
…
Job-B:1 Job-B:2
Job-B:3 Job-B:4 Job-B:5
Job-B:97 Job-B:98 Job-B:99
“Job-A”
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“Job-A”
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インスタンス
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© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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https://amzn.to/JPArchive
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AWS Well-Architected 個別技術相談会
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