Craig Mustard, Fabian Ruffy, Anny Gakhokidze, Ivan Beschastnikh, and Alexandra Fedorova, University of British Columbia
In-network processing, where data is processed by special-purpose devices as it passes over the network, is showing great promise at improving application performance, in particular for data analytics tasks. However, analytics and in-network processing are not yet integrated and widely deployed. This paper presents a vision for providing in-network processing as a service to data analytics frameworks, and outlines benefits, remaining challenges, and our current research directions towards realizing this vision.
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author = {Craig Mustard and Fabian Ruffy and Anny Gakhokidze and Ivan Beschastnikh and Alexandra Fedorova},
title = {Jumpgate: {In-Network} Processing as a Service for Data Analytics},
booktitle = {11th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 19)},
year = {2019},
address = {Renton, WA},
url = {https://www.usenix.org/conference/hotcloud19/presentation/mustard},
publisher = {USENIX Association},
month = jul
}
