Engineering and Management of Data Centers: An IT Service Management Approach PDF
Preview Engineering and Management of Data Centers: An IT Service Management Approach
Service Science: Research and Innovations in the Service Economy Jorge Marx Gómez Manuel Mora Mahesh S. Raisinghani Wolfgang Nebel Rory V. O’Connor Editors Engineering and Management of Data Centers An IT Service Management Approach Service Science: Research and Innovations in the Service Economy Series Editors Bill Hefley Wendy Murphy More information about this series at http://www.springer.com/series/8080 Jorge Marx Gómez • Manuel Mora Mahesh S. Raisinghani • Wolfgang Nebel Rory V. O’Connor Editors Engineering and Management of Data Centers An IT Service Management Approach Editors Jorge Marx Gómez Manuel Mora Department of Computing Sciences Department of Information Systems Carl von Ossietzky University Oldenburg Autonomous University of Aguascalientes Oldenburg, Germany Aguascalientes, Mexico Mahesh S. Raisinghani Wolfgang Nebel College of Business Department for Computing Science Texas Woman’s University Denton Carl von Ossietzky University of Oldenburg Dallas, Houston Oldenburg, Germany TX, USA Rory V. O’Connor School of Computing Dublin City University Dublin, Ireland ISSN 1865-4924 ISSN 1865-4932 (electronic) Service Science: Research and Innovations in the Service Economy ISBN 978-3-319-65081-4 ISBN 978-3-319-65082-1 (eBook) DOI 10.1007/978-3-319-65082-1 Library of Congress Control Number: 2017956900 © Springer International Publishing AG 2017 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. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Contents Foundations of Data Center: Key Concepts and Taxonomies . . . . . . . . . . 1 Cathleen Carey, Mahesh S. Raisinghani, and Becky White ITSDM: A Methodology for IT Services Design . . . . . . . . . . . . . . . . . . . . . 15 Manuel Mora, Jorge Marx Gómez, Rory V. O’Connor, and Burkard Meyendriesch Using Dashboards to Reach Acceptable Risk in Statistics Data Centers Through Risk Assessment and Impact . . . . . . . . . . . . . . . . . 41 Atif Amin and Raul Valverde Risk and Data Center Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 Kurt J. Engemann and Holmes E. Miller Best Practices in Data Center Management: Case – KIO Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 Teresa Lucio-Nieto and Dora Luz González-Bañales QoS in NaaS (Network-as-a-Service) Using Software Defined Networking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 Ammar AlSous and Jorge Marx Gómez Optimization of Data Center Fault Tolerance Design . . . . . . . . . . . . . . . . . 141 Sascha Bosse and Klaus Turowski Energetic Data Center Design Considering Energy Efficiency Improvements During Operation . . . . . . . . . . . . . . . . . . . . . . . . 163 Stefan Janacek and Wolfgang Nebel Demand-Side Flexibility and Supply-Side Management: The Use Case of Data Centers and Energy Utilities . . . . . . . . . . . . . . . . . . 187 Robert Basmadjian, Florian Niedermeier, and Hermann de Meer DevOps: Foundations and Its Utilization in Data Center . . . . . . . . . . . . . . 205 Mirna Muñoz and Oswaldo Díaz v vi Contents Sustainable and Resilient Network Infrastructure Design for Cloud Data Centers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227 Ritchie Qi, William Liu, Jairo Gutierrez, and Mamta Narang Application Software in Cloud-Ready Data Centers: A Survey . . . . . . . . . 261 Johannes Hintsch, Ateeq Khan, André Siegling, and Klaus Turowski Contributors Ammar AlSous Department of Business Information Systems/Very Large Business Applications (VLBA), Carl von Ossietzky University of Oldenburg, Oldenburg, Germany Atif Amin Dubai Statistics Center, Dubai, United Arab Emirates Robert Basmadjian Department of Computer Science and Mathematics, University of Passau, Passau, Germany Sascha Bosse Magdeburg Research and Competence Cluster for Very Large Business Applications, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany Cathleen Carey Executive MBA Program, School of Management, Texas Woman’s University, Denton, TX, USA Oswaldo Díaz Group of Systems Engineering, National Institute of Statistics and Geography, Mexico Kurt J. Engemann Center for Business Continuity and Risk Management, Iona College, New Rochelle, NY, USA Dora Luz González-Bañales Department of Systems and Computing, Instituto Tecnológico de Durango, Durango, Mexico Jairo Gutierrez Department of Information Technology and Software Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand Johannes Hintsch Magdeburg Research and Competence Cluster for Very Large Business Applications, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany Stefan Janacek Smart Resource Integration, OFFIS Institute for Information Technology, Lower Saxony, Germany vii viii Contributors Ateeq Khan Magdeburg Research and Competence Cluster for Very Large Business Applications, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany William Liu Department of Information Technology and Software Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand Teresa Lucio-Nieto Universidad Iberoamericana, ITESM & Universidad Anahuac, Customer Care Associates, Monterrey, Nuevo León, Mexico Jorge Marx Gómez Department of Computing Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany Hermann de Meer Department of Computer Science and Mathematics, University of Passau, Passau, Germany Burkard Meyendriesch IT Services Department, Carl von Ossietzky University Oldenburg, Oldenburg, Germany Holmes E. Miller Department of Accounting, Business, Economics and Finance, Muhlenberg College, Allentown, PA, USA Manuel Mora Department of Information Systems, Autonomous University of Aguascalientes, Aguascalientes, Mexico Mirna Muñoz Mathematic Research Center, Zacatecas, Mexico Mamta Narang Department of Information Technology and Software Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand Wolfgang Nebel Department of Informatics, Carl von Ossietzky University Oldenburg, Lower Saxony, Germany Florian Niedermeier Department of Computer Science and Mathematics, University of Passau, Passau, Germany Rory V. O’Connor School of Computing, Dublin City University, Glasnevin, Dublin, Ireland Ritchie Qi Department of Information Technology and Software Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand Mahesh S. Raisinghani College of Business, Texas Woman’s University Denton, Dallas, Houston, TX, USA André Siegling Magdeburg Research and Competence Cluster for Very Large Business Applications, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany Contributors ix Klaus Turowski Magdeburg Research and Competence Cluster for Very Large Business Applications, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany Klaus Turowski Magdeburg Research and Competence Cluster for Very Large Business Applications, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany Raul Valverde Department of Supply Chain and Business Technology Management, Concordia University, Montreal, QC, Mexico CONAIC, Mexico City, Mexico Becky White Executive MBA Program, School of Management, Texas Woman’s University, Denton, TX, USA Foundations of Data Center: Key Concepts and Taxonomies Cathleen Carey, Mahesh S. Raisinghani, and Becky White Abstract Many corporations use central data centers to avoid building and main- taining a separate data center and are finding and adopting new ways to make the data centers more energy efficient. This chapter provides a relevant summary of key concepts for understanding the complexity of data centers and the types and value of data centers. Its purpose is to provide information and understanding needed to manage massive data generated every day in the era of internet technology. 1 Introduction This chapter provides a relevant summary of key concepts for understanding the com- plexity of data centers. Its purpose is to provide information and understanding needed to manage massive data generated every day in the era of internet technology. From huge corporate businesses, share markets to even social media, the amount of data generated has increased manifold. While internet has been a boon to the world with the connectivity and the speed it offers, it is only with the help of data centers that numerous thousands of gigabytes are still generated and stored and still retrieved quickly from anywhere. Data centers are essential and what’s even more necessary is to have data centers that are environmentally friendly and economic to maintain. With the growth of business being conducted online, more business systems are classified as mission-critical. Typically, 58% of the business systems of an organization are clas- sified as mission-critical, and these require additional investments in data center facili- ties, IT technology, business processes, and IT staff (Cocchiara et al. 2008). The chapter is organized as follows. The chapter starts with fundamental con- cepts and then an overview of data centers. Next it describes the evolution of data C. Carey • B. White Executive MBA Program, School of Management, Texas Woman’s University, Denton, TX 76204, USA e-mail: [email protected]; [email protected] M.S. Raisinghani (*) College of Business, Texas Woman’s University Denton, Dallas, Houston, TX, USA e-mail: [email protected] © Springer International Publishing AG 2017 1 J. Marx Gómez et al. (eds.), Engineering and Management of Data Centers, Service Science: Research and Innovations in the Service Economy, DOI 10.1007/978-3-319-65082-1_1
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