Plumb: Efficient Processing of Multi-User Pipelines (Poster)
Abdul Qadeer and John Heidemann
USC/Information Sciences Institute
Citation
Abdul Qadeer and John Heidemann. Plumb: Efficient Processing of Multi-User Pipelines (Poster). USC/Information Sciences Institute. [PDF] [alt PDF]
Abstract
This document is a one-page abstract and a copy of the poster presented at ACM SOCC in October 2018 about Plumb, a workflow system for multi-stage workflows where parts of computation and output are shared across different groups. The abstract without poster is available from the ACM as \urlhttps://doi.org/10.1145/3267809.3275461.Bibtex Citation
@techreport{Qadeer19b,
author = {Qadeer, Abdul and Heidemann, John},
title = {Plumb: Efficient Processing of Multi-User Pipelines (Poster)},
institution = {USC/Information Sciences Institute},
year = {2019},
sortdate = {2019-01-17},
project = {ant, lacanic, retrofuturebridge},
jsubject = {network_big_data},
month = jan,
jlocation = {johnh: pafile},
keywords = {big data, hadoop, plumb, DNS, streaming data,
data processing, workflow},
url = {https://ant.isi.edu/%7ejohnh/PAPERS/Qadeer19b.html},
pdfurl = {https://ant.isi.edu/%7ejohnh/PAPERS/Qadeer19b.pdf},
xblogurl = {https://ant.isi.edu/blog/?p=xxx},
myorganization = {USC/Information Sciences Institute},
copyrightholder = {authors}
}