Computation and Storage in the Cloud: Understanding the Trade-Offs (Paperback) (雲端計算與儲存：理解權衡取捨)

Dong Yuan, Yun Yang, Jinjun Chen

Computation and Storage in the Cloud: Understanding the Trade-Offs (Paperback)

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商品描述

Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud.

  • Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users
  • Describes several novel strategies for storing application datasets in the cloud
  • Includes real-world case studies of scientific research applications
  • Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users

  • Describes several novel strategies for storing application datasets in the cloud

  • Includes real-world case studies of scientific research applications

商品描述(中文翻譯)

《雲端計算與儲存》是第一本全面且系統性地探討雲端計算與儲存折衷問題的著作，旨在降低應用程式的整體成本。科學應用通常需要大量的計算和資料處理，複雜的計算任務需要很長的執行時間，而生成的資料集通常達到了千兆字節或百萬兆字節的大小。將有價值的應用程式資料集儲存起來，可以節省再次生成的成本，更不用說再次生成所需的等待時間了。然而，科學資料集的巨大大小對於儲存是一個巨大的挑戰。通過提出創新的概念、定理和算法，本書將有助於大幅降低雲端使用者和服務提供商在雲端中運行計算和資料密集型科學應用程式的成本。

本書內容包括成本模型和基準測試，解釋了雲端提供商和使用者之間必要的折衷方案；描述了幾種在雲端中儲存應用程式資料集的新策略；並包含了科學研究應用程式的實際案例研究。

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