Analysis of Fork-Join Systems - Sethuraman, Samyukta (Amazon.com)
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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.

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Produktbeschreibung
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.
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Autorenporträt
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.