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Size-based Scheduling in Service Systems
Abstract
Size-based scheduling policies, such as shortest-remaining-processing-time (SRPT) and shortest-job-first (SJF), have been extensively studied for decades. Yet, almost all analytical results in the literature remain exclusive to single-server queues with infinitely patient jobs and under exact job-size information, which are assumptions that clearly do not hold in service systems such as call centers or healthcare facilities. In this work, we provide the first analytical results on the performance of size-based scheduling in multiserver queues with abandonment and inexact job-size information.
About Rouba Ibrahim
Rouba Ibrahim is a professor at the School of Management of University College London, where she currently heads the Operations & Technology group. She serves on the editorial boards of Management Science and Queueing Systems as an associate editor, and she serves as an Area Editor of the Operations and Supply Chains area at Operations Research. She is the current Service Management Special Interest Group Chair for the MSOM Society. Rouba Ibrahim holds a PhD degree in Operations Research from Columbia University, an MSc in Applied Mathematics and Statistics from Stony Brook University, and a BSc in Mathematics from the American University of Beirut.
Language
English
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