Data Science and Big Data Analytics in Smart Environments 1st Edition
by: Marta Chinnici，Florin Pop ，Catalin Negru
Publisher finelybook 出版社: CRC Press; 1st edition (July 29,2021)
Language 语言: English
Print Length 页数: 304 pages
ISBN-10: 0367407132
ISBN-13: 9780367407131
Book Description
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
