A Performance Prediction Model for Spark Applications
Apache Spark is a popular open-source distributed processing framework that enables efficient processing of massive amounts of data. It has a large number of configuration parameters that are strongly related to performance. Spark performance, for a given
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Surya Nepal · Wenqi Cao · Aziz Nasridinov · MD Zakirul Alam Bhuiyan · Xuan Guo · Liang-Jie Zhang (Eds.)
Big Data – BigData 2020 9th International Conference Held as Part of the Services Conference Federation, SCF 2020 Honolulu, HI, USA, September 18–20, 2020 Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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Surya Nepal Wenqi Cao Aziz Nasridinov MD Zakirul Alam Bhuiyan Xuan Guo Liang-Jie Zhang (Eds.) •
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Big Data – BigData 2020 9th International Conference Held as Part of the Services Conference Federation, SCF 2020 Honolulu, HI, USA, September 18–20, 2020 Proceedings
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Editors Surya Nepal CSIRO Marsfield, NSW, Australia
Wenqi Cao Facebook (United States) Menlo Park, CA, USA
Aziz Nasridinov Chungbuk National University Cheongju, Korea (Republic of)
MD Zakirul Alam Bhuiyan Fordham University Bronx, NY, USA
Xuan Guo University of North Texas Denton, TX, USA
Liang-Jie Zhang Kingdee International Software Group Co. Ltd. Shenzhen, China
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-59611-8 ISBN 978-3-030-59612-5 (eBook) https://doi.org/10.1007/978-3-030-59612-5 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer Nature Switzerland AG 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 and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Swit
