Table of contents

  1. Front Matter
    Pages i-xiv
  2. Clemens Grelck, Ewa Niewiadomska-Szynkiewicz, Marco Aldinucci, Andrea Bracciali, Elisabeth Larsson
    Pages 1-35 Open Access
  3. Elisabeth Larsson, Afshin Zafari, Marco Righero, M. Alessandro Francavilla, Giorgio Giordanengo, Francesca Vipiana et al.
    Pages 36-68 Open Access
  4. Imen Rached, Elisabeth Larsson
    Pages 69-87 Open Access
  5. Irene Kilanioti, Alejandro Fernández-Montes, Damián Fernández-Cerero, Anthony Karageorgos, Christos Mettouris, Valentina Nejkovic et al.
    Pages 88-137 Open Access
  6. Valentina Nejkovic, Ari Visa, Milorad Tosic, Nenad Petrovic, Mikko Valkama, Mike Koivisto et al.
    Pages 138-162 Open Access
  7. Sanja Brdar, Olivera Novović, Nastasija Grujić, Horacio González–Vélez, Ciprian-Octavian Truică, Siegfried Benkner et al.
    Pages 163-185 Open Access
  8. Salvatore Vitabile, Michal Marks, Dragan Stojanovic, Sabri Pllana, Jose M. Molina, Mateusz Krzyszton et al.
    Pages 186-220 Open Access
  9. Simone Spolaor, Marco Gribaudo, Mauro Iacono, Tomas Kadavy, Zuzana Komínková Oplatková, Giancarlo Mauri et al.
    Pages 221-249 Open Access
  10. Abdurrahman Olğaç, Aslı Türe, Simla Olğaç, Steffen Möller
    Pages 250-278 Open Access
  11. Joanna Kołodziej, Daniel Grzonka, Adrian Widłak, Paweł Kisielewicz
    Pages 279-306 Open Access
  12. Catherine Marechal, Dariusz Mikołajewski, Krzysztof Tyburek, Piotr Prokopowicz, Lamine Bougueroua, Corinne Ancourt et al.
    Pages 307-324 Open Access
  13. Aleš Zamuda, Vincenzo Crescimanna, Juan C. Burguillo, Joana Matos Dias, Katarzyna Wegrzyn-Wolska, Imen Rached et al.
    Pages 325-349 Open Access
  14. Back Matter
    Pages 351-352

About this book


This open access book is the final compendium of case studies emanated from the 4-year COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet). Funded by the European Commission from 2015, cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges.

cHiPSet has enabled research partnerships for dozens of academics and industry practitioners located in 34 COST countries, as well as in Australia, Belarus, Brazil, China, Russia, and the USA. As a cooperation framework, cHiPSet has reached out to new audiences such as ICT professionals, commercial software developers, and the general public. At a time when Big Data has become a common household term, cHiPSet has strived to become a knowledge hub where data-driven HPC meets Modelling & Simulation.

cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation.


artificial intelligence big data big datum bioinformatics cloud computing computer architecture computer systems health informatics high-performance computing hpc MapReduce processors sensors wireless networks wireless telecommunication systems

Editors and affiliations

  1. 1.Cracow University of TechnologyCracowPoland
  2. 2.National College of IrelandDublinIreland

Bibliographic information

  • DOI
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2019
  • License CC BY
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-030-16271-9
  • Online ISBN 978-3-030-16272-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site