Near-Data Prediction Based Speculative Optimization in a Distribution Environment
Apache Hadoop is an open source software framework that supports data-intensive distributed applications and is distributed under the Apache 2.0 licensing agreement, where consumers will no longer deal with complex configuration of software and hardware b
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oud Computing, Smart Grid and Innovative Frontiers in Telecommunications 9th EAI International Conference, CloudComp 2019 and 4th EAI International Conference, SmartGIFT 2019 Beijing, China, December 4–5, 2019, and December 21–22, 2019
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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Editorial Board Members Ozgur Akan Middle East Technical University, Ankara, Turkey Paolo Bellavista University of Bologna, Bologna, Italy Jiannong Cao Hong Kong Polytechnic University, Hong Kong, China Geoffrey Coulson Lancaster University, Lancaster, UK Falko Dressler University of Erlangen, Erlangen, Germany Domenico Ferrari Università Cattolica Piacenza, Piacenza, Italy Mario Gerla UCLA, Los Angeles, USA Hisashi Kobayashi Princeton University, Princeton, USA Sergio Palazzo University of Catania, Catania, Italy Sartaj Sahni University of Florida, Gainesville, USA Xuemin (Sherman) Shen University of Waterloo, Waterloo, Canada Mircea Stan University of Virginia, Charlottesville, USA Xiaohua Jia City University of Hong Kong, Kowloon, Hong Kong Albert Y. Zomaya University of Sydney, Sydney, Australia
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More information about this series at http://www.springer.com/series/8197
Xuyun Zhang Guanfeng Liu Meikang Qiu Wei Xiang Tao Huang (Eds.) •
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Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications 9th EAI International Conference, CloudComp 2019 and 4th EAI International Conference, SmartGIFT 2019 Beijing, China, December 4–5, 2019, and December 21–22, 2019
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Editors Xuyun Zhang Macquarie University Sydney, NSW, Australia
Guanfeng Liu Macquarie University Sydney, NSW, Australia
Meikang Qiu Pace University New York, NY, USA
Wei Xiang James Cook University Cairns, QLD, Australia
Tao Huang James Cook University Smithfield, QLD, Australia
ISSN 1867-8211 ISSN 1867-822X (electronic) Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN 978-3-030-48512-2 ISBN 978-3-030-48513-9 (eBook) https://doi.org/10.1007/978-3-030-48513-9 © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true an
