High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet (Lecture Notes in Computer Science Book 11400)

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications. Front Matter ....Pages i-xiv Why High-Performance Modelling and Simulation for Big Data Applications Matters (Clemens Grelck, Ewa Niewiadomska-Szynkiewicz, Marco Aldinucci, Andrea Bracciali, Elisabeth Larsson)....Pages 1-35 Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems (Elisabeth Larsson, Afshin Zafari, Marco Righero, M. Alessandro Francavilla, Giorgio Giordanengo, Francesca Vipiana et al.)....Pages 36-68 Tail Distribution and Extreme Quantile Estimation Using Non-parametric Approaches (Imen Rached, Elisabeth Larsson)....Pages 69-87 Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges (Irene Kilanioti, Alejandro Fernández-Montes, Damián Fernández-Cerero, Anthony Karageorgos, Christos Mettouris, Valentina Nejkovic et al.)....Pages 88-137 Big Data in 5G Distributed Applications (Valentina Nejkovic, Ari Visa, Milorad Tosic, Nenad Petrovic, Mikko Valkama, Mike Koivisto et al.)....Pages 138-162 Big Data Processing, Analysis and Applications in Mobile Cellular Networks (Sanja Brdar, Olivera Novović, Nastasija Grujić, Horacio González–Vélez, Ciprian-Octavian Truică, Siegfried Benkner et al.)....Pages 163-185 Medical Data Processing and Analysis for Remote Health and Activities Monitoring (Salvatore Vitabile, Michal Marks, Dragan Stojanovic, Sabri Pllana, Jose M. Molina, Mateusz Krzyszton et al.)....Pages 186-220 Towards Human Cell Simulation (Simone Spolaor, Marco Gribaudo, Mauro Iacono, Tomas Kadavy, Zuzana Komínková Oplatková, Giancarlo Mauri et al.)....Pages 221-249 Cloud-Based High Throughput Virtual Screening in Novel Drug Discovery (Abdurrahman Olğaç, Aslı Türe, Simla Olğaç, Steffen Möller)....Pages 250-278 Ultra Wide Band Body Area Networks: Design and Integration with Computational Clouds (Joanna Kołodziej, Daniel Grzonka, Adrian Widłak, Paweł Kisielewicz)....Pages 279-306 Survey on AI-Based Multimodal Methods for Emotion Detection (Catherine Marechal, Dariusz Mikołajewski, Krzysztof Tyburek, Piotr Prokopowicz, Lamine Bougueroua, Corinne Ancourt et al.)....Pages 307-324 Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era (Aleš Zamuda, Vincenzo Crescimanna, Juan C. Burguillo, Joana Matos Dias, Katarzyna Wegrzyn-Wolska, Imen Rached et al.)....Pages 325-349 Back Matter ....Pages 351-352 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