Data Management in the Cloud: Challenges and Opportunities (Paperback)

Divyakant Agrawal, Sudipto Das, Amr El Abbadi

  • 出版商: Morgan & Claypool
  • 出版日期: 2012-12-01
  • 定價: $1,400
  • 售價: 9.0$1,260
  • 語言: 英文
  • 頁數: 138
  • 裝訂: Paperback
  • ISBN: 1608459241
  • ISBN-13: 9781608459247
  • 相關分類: 大數據 Big-data雲端運算
  • 立即出貨 (庫存=1)

相關主題

商品描述

Cloud computing has emerged as a successful paradigm of service-oriented computing and has revolutionized the way computing infrastructure is used. This success has seen a proliferation in the number of applications that are being deployed in various cloud platforms. There has also been an increase in the scale of the data generated as well as consumed by such applications. Scalable database management systems form a critical part of the cloud infrastructure. The attempt to address the challenges posed by the management of big data has led to a plethora of systems. This book aims to clarify some of the important concepts in the design space of scalable data management in cloud computing infrastructures. Some of the questions that this book aims to answer are: the appropriate systems for a specific set of application requirements, the research challenges in data management for the cloud, and what is novel in the cloud for database researchers? We also aim to address one basic question: whether cloud computing poses new challenges in scalable data management or it is just a reincarnation of old problems? We provide a comprehensive background study of state-of-the-art systems for scalable data management and analysis. We also identify important aspects in the design of different systems and the applicability and scope of these systems. A thorough understanding of current solutions and a precise characterization of the design space are essential for clearing the "cloudy skies of data management" and ensuring the success of DBMSs in the cloud, thus emulating the success enjoyed by relational databases in traditional enterprise settings. Table of Contents: Introduction / Distributed Data Management / Cloud Data Management: Early Trends / Transactions on Co-located Data / Transactions on Distributed Data / Multi-tenant Database Systems / Concluding Remarks

商品描述(中文翻譯)

雲端運算已成為服務導向運算的成功範例,並改變了計算基礎架構的使用方式。這種成功使得越來越多的應用程式被部署在各種雲平台上。同時,由這些應用程式產生和消耗的數據規模也在增加。可擴展的資料庫管理系統是雲端基礎架構的關鍵組成部分。為了應對大數據管理所帶來的挑戰,出現了眾多系統。本書旨在澄清雲端運算基礎架構中可擴展資料管理設計領域的一些重要概念。本書旨在回答以下問題:對於特定應用需求,應選擇哪些系統?雲端資料管理的研究挑戰是什麼?雲端對於資料庫研究人員來說有什麼新意?我們還希望回答一個基本問題:雲端運算是否帶來了可擴展資料管理的新挑戰,還是只是舊問題的再現?我們提供了對於可擴展資料管理和分析的最新系統的全面背景研究。我們還確定了不同系統設計中的重要方面以及這些系統的適用性和範圍。對於清理「資料管理的雲霧」並確保資料庫管理系統在雲端的成功,深入了解當前解決方案並精確描述設計領域是必不可少的,這樣才能效仿傳統企業環境中關聯式資料庫所取得的成功。目錄:引言 / 分散式資料管理 / 雲端資料管理:早期趨勢 / 共置資料的交易 / 分散式資料的交易 / 多租戶資料庫系統 / 結論