Joëlle Skaf
Joëlle Skaf is a Staff Software Engineer at Google. She received her Ph.D. in Electrical Engineering from Stanford University in 2008 and her Bachelor of Engineering degree in Computer and Communications Engineering from the American University of Beirut in 2003.
Her current interests include large-scale distributed convex optimization and its applications in control theory and machine learning.
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In this paper, we investigate the performance analysis and synthesis of distributed system throttlers (DST). A throttler is a mechanism that limits the flow rate of incoming metrics, e.g., byte per second, network bandwidth usage, capacity, traffic, etc. This can be used to protect a service's backend/clients from getting overloaded, or to reduce the effects of uncertainties in demand for shared services. We study performance deterioration of DSTs subject to demand uncertainty. We then consider network synthesis problems that aim to improve the performance of noisy DSTs via communication link modifications as well as server update cycle modifications.
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