The LEXIS Platform for Distributed Workflow Execution and Data Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10250560" target="_blank" >RIV/61989100:27740/22:10250560 - isvavai.cz</a>
Result on the web
<a href="https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003176664-2/lexis-platform-distributed-workflow-execution-data-management-martin-golasowski-jan-martinovi%C4%8D-jan-k%C5%99enek-kate%C5%99ina-slaninov%C3%A1-marc-levrier-piyush-harsh-marc-derquennes-fr%C3%A9d%C3%A9ric-donnat-olivier-terzo" target="_blank" >https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003176664-2/lexis-platform-distributed-workflow-execution-data-management-martin-golasowski-jan-martinovi%C4%8D-jan-k%C5%99enek-kate%C5%99ina-slaninov%C3%A1-marc-levrier-piyush-harsh-marc-derquennes-fr%C3%A9d%C3%A9ric-donnat-olivier-terzo</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1201/9781003176664-2" target="_blank" >10.1201/9781003176664-2</a>
Alternative languages
Result language
angličtina
Original language name
The LEXIS Platform for Distributed Workflow Execution and Data Management
Original language description
This chapter provides an overview of the LEXIS platform which aims to overcome the shortcomings of complicated access to a high-performance computing (HPC) system and management of terabyte-scale datasets by providing a clean and concise interface which will abstract both HPC and cloud resources using workflow and data management orchestration. Modular architecture of the platform is presented along with the orchestration and data management APIs. Security and identity management along with the market positioning aspects are discussed as well. (C) 2022 selection and editorial matter, Olivier Terzo and Jan Martinovic; individual chapters, the contributors.
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
10200 - Computer and information sciences
Result continuities
Project
—
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
978-1-03-200984-1
Number of pages of the result
19
Pages from-to
17-35
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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