| 书目名称 | Resource Management for Big Data Platforms | | 副标题 | Algorithms, Modellin | | 编辑 | Florin Pop,Joanna Kołodziej,Beniamino Di Martino | | 视频video | | | 概述 | Provides a comprehensive overview of the development of RMS for big data platforms and applications, covering theory, methodologies, experimentation, and real-world applications.Presents state-of-the- | | 丛书名称 | Computer Communications and Networks | | 图书封面 |  | | 描述 | .Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.. | | 出版日期 | Book 2016 | | 关键词 | Big-Data platforms; High-performance computing; Modelling and simulation; Massive data processing; Perfo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-44881-7 | | isbn_softcover | 978-3-319-83155-8 | | isbn_ebook | 978-3-319-44881-7Series ISSN 1617-7975 Series E-ISSN 2197-8433 | | issn_series | 1617-7975 | | copyright | Springer International Publishing AG, part of Springer Nature 2016 |
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发表于 2025-3-21 17:40:56
