Distributed HPC Resources Orchestration for Supporting Large-Scale Workflow Execution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10252100" target="_blank" >RIV/61989100:27740/22:10252100 - isvavai.cz</a>
Result on the web
<a href="https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-5/distributed-hpc-resources-orchestration-supporting-large-scale-workflow-execution-alberto-scionti-paolo-viviani-giacomo-vitali-chiara-vercellino-olivier-terzo-stephan-hachinger-luk%C3%A1%C5%A1-vojacek-v%C3%A1clav-svato%C5%88-jan-k%C5%99enek-fr%C3%A9d%C3%A9ric-donnat-fran%C3%A7ois-exertier?context=ubx&refId=4f928477-9492-4331-a589-b1ba5e5b03c7" target="_blank" >https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-5/distributed-hpc-resources-orchestration-supporting-large-scale-workflow-execution-alberto-scionti-paolo-viviani-giacomo-vitali-chiara-vercellino-olivier-terzo-stephan-hachinger-luk%C3%A1%C5%A1-vojacek-v%C3%A1clav-svato%C5%88-jan-k%C5%99enek-fr%C3%A9d%C3%A9ric-donnat-fran%C3%A7ois-exertier?context=ubx&refId=4f928477-9492-4331-a589-b1ba5e5b03c7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1201/9781003176664-5" target="_blank" >10.1201/9781003176664-5</a>
Alternative languages
Result language
angličtina
Original language name
Distributed HPC Resources Orchestration for Supporting Large-Scale Workflow Execution
Original language description
Scientific and industrial applications have become more complex over the past decades and nowadays include multi-domain workflows (e.g. ingestion of large (unstructured) datasets, high-performance computing simulations, machine learning tasks). This chapter discusses the EU-funded H2020 LEXIS project approach to the effective management of such multi-domain workflows and their execution on heterogeneous and geographically distributed computing resources. The LEXIS project solution aims at providing users with a tool to describe all the steps involved in the execution of the application (i.e. the workflow) and their execution on the most appropriate pool of resources.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision
ISBN
978-1-00-317666-4
Number of pages of the result
23
Pages from-to
81-103
Number of pages of the book
322
Publisher name
CRC Press
Place of publication
Boca Raton
UT code for WoS chapter
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