Cloud Computing: Data-Intensive Computing and Scheduling (Hardcover)

Frederic Magoules, Jie Pan, Fei Teng

  • 出版商: CRC
  • 出版日期: 2012-09-21
  • 售價: $2,790
  • 貴賓價: 9.5$2,651
  • 語言: 英文
  • 頁數: 231
  • 裝訂: Hardcover
  • ISBN: 1466507829
  • ISBN-13: 9781466507821
  • 相關分類: 雲端運算
  • 立即出貨 (庫存=1)

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商品描述

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The book delineates many concepts, models, methods, algorithms, and software used in cloud computing.

After a general introduction to the field, the text covers resource management, including scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It next explains approaches to data analytical query processing, including pre-computing, data indexing, and data partitioning. Applications of MapReduce, a new parallel programming model, are then presented. The authors also discuss how to optimize multiple group-by query processing and introduce a MapReduce real-time scheduling algorithm.

A useful reference for studying and using MapReduce and cloud computing platforms, this book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications.

商品描述(中文翻譯)

隨著數據以比以往更快的速度不斷生成,處理大量數據對於數據分析軟件來說變得越來越具有挑戰性。《雲計算:數據密集型計算與調度》解決了性能問題,探討了傳統技術的演進,並描述了全新的方法和創新算法。該書介紹了雲計算中使用的許多概念、模型、方法、算法和軟件。

在對該領域進行一般介紹之後,本書涵蓋了資源管理,包括用於實時任務的調度算法以及用於用戶競標和拍賣定價的實用算法。接下來解釋了數據分析查詢處理的方法,包括預計算、數據索引和數據分區。然後介紹了MapReduce,一種新的並行編程模型。作者還討論了如何優化多個分組查詢處理並介紹了一種MapReduce實時調度算法。

作為學習和使用MapReduce和雲計算平台的有用參考資料,本書介紹了各種技術,展示了雲計算如何滿足業務需求並作為多維數據分析應用的基礎設施。