@InProceedings{Qadeer18b,
        author =        "Abdul Qadeer and John Heidemann",
        title =         "Plumb: Efficient Processing of Multi-User
                  Pipelines (Poster Abstract)",
        booktitle =     "Proceedings of the " # " Symposium on Cloud Computing",
        year =          2018,
	sortdate = 		"2018-10-11", 
	project = "ant, lacanic, retrofuturebridge",
	jsubject = "network_big_data",
        pages =      519,
        month =      oct,
        address =    "Carlsbad, CA, USA",
        publisher =  "ACM",
        jlocation =   "johnh: pafile",
        keywords =   "plumb, data processing, dns, workflow",
        doi =        "https://doi.org/10.1145/3267809.3275461",
        keywords =   "big data, hadoop, plumb, DNS, streaming data",
	url =		"https://ant.isi.edu/%7ejohnh/PAPERS/Qadeer18b.html",
	pdfurl =	"https://ant.isi.edu/%7ejohnh/PAPERS/Qadeer18b.pdf",
	blogurl = "https://ant.isi.edu/blog/?p=xxxc",
	myorganization =	"USC/Information Sciences Institute",
	copyrightholder = "authors",
        abstract = "This document is a one-page abstract for a poster
                  presented at ACM SOCC about Plumb, a workflow system
                  for multi-stage workflows where parts of computation
                  and output are shared across different groups.  A
                  copy of the abstract with the poster are available
                  as ISI-TR-731.",
}

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