@TechReport{Qadeer19b,
        author =        "Abdul Qadeer and John Heidemann",
        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",
        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 \url{https://doi.org/10.1145/3267809.3275461}.",
}

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