Data Science and Big Data Analytics in Smart Environments
暫譯: 智慧環境中的資料科學與大數據分析
Chinnici, Marta, Pop, Florin, Negru, Catalin
- 出版商: CRC
- 出版日期: 2021-07-29
- 售價: $6,820
- 貴賓價: 9.5 折 $6,479
- 語言: 英文
- 頁數: 292
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367407132
- ISBN-13: 9780367407131
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相關分類:
大數據 Big-data、Data Science
海外代購書籍(需單獨結帳)
商品描述
Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs. A variety of solutions for specific applications and platforms exist so a thorough and systematic analysis of existing solutions for data science, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a smart environment.
Fundamental issues pertaining to smart environments (smart cities, ambient assisted leaving, smart houses, green houses, cyber physical systems, etc.) are reviewed. Most of the current efforts still do not adequately address the heterogeneity of different distributed systems, the interoperability between them, and the systems resilience. This book will primarily encompass practical approaches that promote research in all aspects of data processing, data analytics, data processing in different type of systems: Cluster Computing, Grid Computing, Peer-to-Peer, Cloud/Edge/Fog Computing, all involving elements of heterogeneity, having a large variety of tools and software to manage them. The main role of resource management techniques in this domain is to create the suitable frameworks for development of applications and deployment in smart environments, with respect to high performance. The book focuses on topics covering algorithms, architectures, management models, high performance computing techniques and large-scale distributed systems.
商品描述(中文翻譯)
大多數應用程式會產生大量數據集，例如社交網絡和社交影響程序、智慧城市應用、智慧家庭環境、雲端應用、公共網站、科學實驗和模擬、數據倉庫、監控平台以及電子政府服務。數據快速增長，因為應用程式持續產生不斷增加的非結構化和結構化數據。大規模互聯系統旨在聚合並有效利用廣泛分佈資源的力量。在這種背景下，需要主要解決可擴展性、移動性、可靠性、容錯性和安全性等問題，以實現高性能並創造智慧環境。對數據處理、傳輸和存儲的影響是需要重新評估方法和解決方案，以更好地滿足用戶需求。針對特定應用和平台存在各種解決方案，因此對現有數據科學、數據分析、在大數據處理和存儲環境中使用的方法和算法進行徹底和系統的分析，對於設計和實施智慧環境具有重要意義。
本書回顧了與智慧環境（智慧城市、環境輔助生活、智慧家庭、綠色建築、網絡物理系統等）相關的基本問題。目前大多數努力仍未充分解決不同分佈系統的異質性、它們之間的互操作性以及系統的韌性。本書將主要涵蓋促進數據處理、數據分析及在不同類型系統中進行數據處理的所有方面的實用方法：集群計算、網格計算、點對點、雲端/邊緣/霧計算，所有這些都涉及異質性的元素，並擁有各種工具和軟體來管理它們。在這個領域中，資源管理技術的主要角色是創建適合於智慧環境中應用開發和部署的框架，以實現高性能。本書專注於涵蓋算法、架構、管理模型、高性能計算技術和大規模分佈系統的主題。
作者簡介
Marta Chinnici graduated in Mathematics (2004) magna cum laude at the University of Naples (Italy), where she received her PhD in Mathematics and Computer Science (2008) with a thesis on stochastic self-similar processes and applications in non-linear dynamical systems. Currently, she is a Senior Researcher at the ENEA's Department of Energy Technologies and Renewable Energy Sources, ICT Division, where she works on ICT for Energy Efficiency issues. She is a European Commission Expert in the field of ICT and a review/evaluator for several European programs on the same topic. She is Member of Technical Programme Committees of various international conferences and workshops, and Editor/Referee of relevant journals in the fields of computer science, data science and energy. To date, she authored more than 50 scientific articles and books, and presented in leading national and international conferences on ICT and energy topics.
Florin POP is professor at the Department of Computer and Information Technology, the Politehnica University of Bucharest. He also works as a 1st degree scientific researcher at National Institute for Research and Development in Informatics (ICI) Bucharest. His general research interests are: distributed systems (design and performance), grid computing and cloud computing, peer-to-peer systems, Big Data management, data aggregation, information retrieval and classification techniques, Bio-inspired optimization methods.
Cǎtǎlin NEGRU is a system engineer and researcher at the Department of Computer and Information Technology at University Politehnica of Bucharest (UPB). He obtained his PhD from UPB in 2016. His research interests include distributed systems, energy efficiency, cloud storage, cyber- physical systems, GIS. His research has led to the publishing of numerous papers and articles at prestigios journals and conferences. He is involved in several national and international research projects.
作者簡介(中文翻譯)
**Marta Chinnici** 於2004年以優異成績（magna cum laude）畢業於意大利那不勒斯大學，主修數學，並於2008年獲得數學與計算機科學博士學位，論文主題為隨機自相似過程及其在非線性動態系統中的應用。目前，她是ENEA能源技術與可再生能源部ICT部門的高級研究員，專注於能源效率的ICT議題。她是歐洲委員會在ICT領域的專家，並擔任多個歐洲計畫的審查/評估員。她是多個國際會議和研討會的技術計畫委員會成員，以及計算機科學、數據科學和能源領域相關期刊的編輯/審稿人。迄今為止，她已發表超過50篇科學文章和書籍，並在國內外主要會議上就ICT和能源主題進行報告。
**Florin POP** 是布加勒斯特理工大學計算機與信息技術系的教授。他同時擔任布加勒斯特國家信息學研究與發展研究所（ICI）的第一級科學研究員。他的研究興趣包括：分散式系統（設計與性能）、網格計算與雲計算、點對點系統、大數據管理、數據聚合、信息檢索與分類技術，以及生物啟發的優化方法。
**Cătălin NEGRU** 是布加勒斯特理工大學（UPB）計算機與信息技術系的系統工程師和研究員。他於2016年在UPB獲得博士學位。他的研究興趣包括分散式系統、能源效率、雲存儲、網絡物理系統和地理信息系統（GIS）。他的研究成果已在多個知名期刊和會議上發表。 他參與了多個國內和國際研究項目。
