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Web Services, Inc. or its Affiliates. All rights reserved. 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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© 2019, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. 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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© 2019, Amazon
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© 2019, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. 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. 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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