Analysis of Fork-Join Systems - Network of Queues With Precedence Constraints

With the boom of big data and machine learning and the subsequent need for parallel processing technologies, fork-join queues are more relevant now than ever before. In this book, new estimates of the average response time in fork-join queues are proposed, which form the basis for new research opportunities.

Inhaltsverzeichnis

I. INTRODUCTION TO FORK-JOIN QUEUES. II. REVIEW OF LITERATURE ON FORK-JOIN QUEUES. III. SYMMETRIC n-DIMENSIONAL FORK-JOIN QUEUES. IV. COMPLEX FORK-JOIN QUEUEING NETWORKS.

Über den Autor / die Autorin

Samyukta Sethuraman is a Senior Research Scientist at Amazon. Her areas of expertise include queueing systems and pricing and yield management. Samyukta holds a Doctorate in Industrial Engineering from Texas A&M University and a Bachelors from Indian Institute of Technology (IIT) Madras. She serves on the advisory council of the Industrial & Systems Engineering Department at Texas A&M University. One of the focus areas of her doctoral thesis was fork-join queueing systems, which formed the basis of this work.

Zusammenfassung

With the boom of big data and machine learning and the subsequent need for parallel processing technologies, fork-join queues are more relevant now than ever before. In this book, new estimates of the average response time in fork-join queues are proposed, which form the basis for new research opportunities.

Produktdetails

• Autoren: Samyukta Sethuraman, Samyukta (Amazon.com) Sethuraman
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 09.10.2024
• EAN: 9780367712648
• ISBN: 978-0-367-71264-8
• Seiten: 104
• Serie: Emerging Operations Research Methodologies and Applications
• Themen: Geisteswissenschaften, Kunst, Musik > Kunst > Innenarchitektur, Design; Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Product Design, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Manufacturing, MATHEMATICS / Probability & Statistics / Bayesian Analysis, TECHNOLOGY & ENGINEERING / Operations Research, Other manufacturing technologies, Probability & statistics, Stochastics, Production engineering, Engineering: general, Probability and statistics, Production and industrial engineering