Scheduling Parallel Applications on Heterogeneous Distributed Systems
This book focuses on scheduling algorithms for parallel applications on heterogeneous distributed systems, and addresses key scheduling requirements – high performance, low energy consumption, real time, and high reliability – from the perspectives of bot
- PDF / 5,696,304 Bytes
- 257 Pages / 439.43 x 683.15 pts Page_size
- 61 Downloads / 243 Views
ing Parallel Applications on Heterogeneous Distributed Systems
Scheduling Parallel Applications on Heterogeneous Distributed Systems
Guoqi Xie • Gang Zeng • Renfa Li • Keqin Li
Scheduling Parallel Applications on Heterogeneous Distributed Systems
123
Guoqi Xie College of Computer Science and Electronic Engineering Hunan University Changsha, Hunan, China
Gang Zeng Graduate School of Engineering Nagoya University Nagoya, Aichi, Japan
Renfa Li Key Laboratory for Embedded and Cyber-Physical Systems of Hunan Province Hunan University Changsha, Hunan, China
Keqin Li Department of Computer Science State University of New York New Paltz, NY, USA
ISBN 978-981-13-6556-0 ISBN 978-981-13-6557-7 (eBook) https://doi.org/10.1007/978-981-13-6557-7 © Springer Nature Singapore Pte Ltd. 2019 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, express 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 Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Foreword
Today, heterogeneous distributed systems exhibit diversification and variation. These systems can be large enough, such as cloud computing systems, or small enough, such as embedded computing systems. Cyber-physical systems (CPS) are emerged heterogeneous distributed systems, which have created one of the hottest research fields in recent years. Automotive CPS (ACPS) are further development of automotive embedded systems. Similarly, cyber-physical cloud systems (CPCS) are further development of cloud computing systems. At present, the relevant results of CPS have gradually been reflected in practical applications. The scheduling problems of parallel applications have been studied for a long time, but for the abovementioned heterogeneous distributed systems, there is an urgent need for customized scheduling algorithms to deal w
Data Loading...
