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Mean Sojourn Time in Multi Stage Fork-Join Network: The Effect of Synchronization and Structure

Mean Sojourn Time in Multi Stage Fork-Join Network: The Effect of Synchronization and Structure

Yonit Barron
Copyright: © 2015 |Volume: 6 |Issue: 3 |Pages: 20
ISSN: 1947-9328|EISSN: 1947-9336|EISBN13: 9781466678019|DOI: 10.4018/IJORIS.2015070104
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MLA

Barron, Yonit. "Mean Sojourn Time in Multi Stage Fork-Join Network: The Effect of Synchronization and Structure." IJORIS vol.6, no.3 2015: pp.80-99. http://doi.org/10.4018/IJORIS.2015070104

APA

Barron, Y. (2015). Mean Sojourn Time in Multi Stage Fork-Join Network: The Effect of Synchronization and Structure. International Journal of Operations Research and Information Systems (IJORIS), 6(3), 80-99. http://doi.org/10.4018/IJORIS.2015070104

Chicago

Barron, Yonit. "Mean Sojourn Time in Multi Stage Fork-Join Network: The Effect of Synchronization and Structure," International Journal of Operations Research and Information Systems (IJORIS) 6, no.3: 80-99. http://doi.org/10.4018/IJORIS.2015070104

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Abstract

Fork-Join queue networks (F-J) have received increasing attention during the last Decade, due to their ability to model parallel and distributed computer processing, supply chains and assembly systems. However, most research is focused on a single stage processing, and only scant work exists on F-J with two or more stages. In this paper, the author investigates (through simulation) the performance behavior of a multi-stage system; in particular, the performance of a synchronized system is compared to an unsynchronized system regarding three major factors: (1) the number of parallel tasks; (2) the number of serial stages and (3) the utilization.

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