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020 _a9783030162726
_9978-3-030-16272-6
024 7 _a10.1007/978-3-030-16272-6
_2doi
050 4 _aQA76.9.E94
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_2bicssc
072 7 _aCOM011000
_2bisacsh
072 7 _aUYD
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082 0 4 _a004.24
_223
245 1 0 _aHigh-Performance Modelling and Simulation for Big Data Applications
_h[electronic resource] :
_bSelected Results of the COST Action IC1406 cHiPSet /
_cedited by Joanna Kołodziej, Horacio González-Vélez.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIV, 352 p. 63 illus., 55 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v11400
505 0 _aWhy High-Performance Modelling and Simulation for Big Data Applications Matters -- Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems -- Tail Distribution and Extreme Quantile Estimation using Non-Parametric Approaches -- Towards efficient and scalable data-intensive content delivery: State-of-the-art, issues and challenges -- Big Data in 5G Distributed Applications -- Big Data Processing, Analysis and Applications in Mobile Cellular Networks -- Medical Data Processing and Analysis for Remote Health and Activities Monitoring -- Towards human cell simulation -- Cloud-based High Throughput Virtual Screening in Novel Drug Discovery -- Ultra Wide Band Body Area Networks: Design and integration with Computational Clouds -- Survey on AI-based multimodal methods for emotion detection -- Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-oriented Survey of the State-of-the-Art in the Cloud Era.
506 0 _aOpen Access
520 _aThis 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.
650 0 _aElectronic digital computers
_xEvaluation.
650 0 _aComputer networks .
650 0 _aMicroprocessors.
650 0 _aComputer architecture.
650 0 _aApplication software.
650 0 _aLogic design.
650 0 _aOperating systems (Computers).
650 1 4 _aSystem Performance and Evaluation.
650 2 4 _aComputer Communication Networks.
650 2 4 _aProcessor Architectures.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aLogic Design.
650 2 4 _aOperating Systems.
700 1 _aKołodziej, Joanna.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGonzález-Vélez, Horacio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030162719
776 0 8 _iPrinted edition:
_z9783030162733
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v11400
856 4 0 _uhttps://doi.org/10.1007/978-3-030-16272-6
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912 _aZDB-2-SXCS
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