Editorial Board Members

Editor-in-Chief: Ron Perrott FACM

Oxford e-Research Centre

University of Oxford 

Oxford OX1 3QG

United Kingdom

Email: r.perrott  AT gmail DOT com


Alex K Jones (Department of Electrical and Computer Engineering, University of Pittsburgh, USA)

Ewa Deelman (USC Information Sciences Institute, Marina del Rey, CA, USA)

Marios Dikaiakos (Department of Computer Science, University of Cyprus, Nicosia, CYPRUS)

Graham Hutton (Department of Computer Science, University of Nottingham, Nottingham, UK)

David K. Kahaner (Asian Technology Information Program (ATIP), Albuquerque, NM)

Wenguang Chen ( Department of Computer Science and Technology,  Tsinghua University, Beijing, China)


ACM Staff Contact: Craig Rodkin,

last Updated: June. 3, 2018 - C. Rodkin

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Prediction-Serving Systems

ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.