Big Data and Internet of Things: A Roadmap for Smart Environments (Studies in Computational Intelligence)

  • 出版商: Springer
  • 出版日期: 2014-03-27
  • 售價: $6,580
  • 貴賓價: 9.5$6,251
  • 語言: 英文
  • 頁數: 470
  • 裝訂: Hardcover
  • ISBN: 3319050281
  • ISBN-13: 9783319050287
  • 相關分類: 大數據 Big-data物聯網 IoT
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities:

Section I: Foundations and Principles

Section II: Advanced Models and Architectures

Section III: Advanced Applications and Future Trends

The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.

 

商品描述(中文翻譯)

本書介紹了與大數據管理相關的挑戰的最新進展,特別聚焦於與情境感知數據密集型應用和服務相關的特定挑戰。本書是一本最先進的參考資料,討論了所取得的進展,並促進了未來在理論、實踐、標準和策略方面的方向,這些都與新興的計算技術及其在支持物聯網的高級運作中與組織環境(包括商業和電子科學)的關聯有關。除了可互操作和互合作的方面外,本書還探討了一個顯著的機會,即當前從互聯網終端用戶中產生的集體共享和生成內容的趨勢。具體而言,本書介紹了如何管理和利用來自智慧環境(即智慧城市)中生成的大量數據,以實現一種整合的集體智慧方法。本書還提出了改善大型存儲基礎設施的方法和實踐,以應對數據密集型應用日益增長的需求。本書包含19個獨立的章節,這些章節是根據至少兩位專家和獨立審稿人的同行評審精心挑選的,並分為三個部分,反映了物聯網和大數據社群感興趣的一般主題:

第一部分:基礎與原則

第二部分:進階模型與架構

第三部分:進階應用與未來趨勢

本書旨在吸引對於在智慧環境、物聯網及各種計算技術領域進行跨學科和跨領域工作的研究者,以便在大數據時代實現整合的集體計算智慧方法。