Information Technologies and Mathematical Modelling. Queueing Theory and Applications : 22nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, Tomsk, Russia, December 4¿9, 2023, Revised Selected Papers

Alexander Dudin

ISBN 10: 303165384X / ISBN 13: 9783031653841

Editore: Springer Nature Switzerland, Springer International Publishing, 2024

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Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 2nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, held in Tomsk, Russia, during December 4-9, 2023.The 23 full papers included in this book were carefully reviewed and selected from 96 submissions. The papers are devoted to new results in queueing theory and its applications, and also related areas of probabilistic analysis. Its target audience includes specialists in probabilistic theory, random processes, and mathematical modeling as well as engineers engaged in logical and technical design and operational management of data processing systems, communication, and computer networks.

Codice articolo 9783031653841

Dati bibliografici

• Titolo: Information Technologies and Mathematical Modelling. Queueing Theory and Applications : 22nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, Tomsk, Russia, December 4¿9, 2023, Revised Selected Papers
• Editore: Springer Nature Switzerland, Springer International Publishing
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 303165384X
• ISBN 13: 9783031653841
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

This book constitutes the refereed proceedings of the 2nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, held in Tomsk, Russia, during December 4–9, 2023.

The 23 full papers included in this book were carefully reviewed and selected from 96 submissions. The papers are devoted to new results in queueing theory and its applications, and also related areas of probabilistic analysis. Its target audience includes specialists in probabilistic theory, random processes, and mathematical modeling as well as engineers engaged in logical and technical design and operational management of data processing systems, communication, and computer networks.