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  Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs)

Feldmann, A., Hauswirth, M., & Markl, V. (2017). Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs). In K. Lee, & L. Liu (Eds.), IEEE 37th International Conference on Distributed Computing Systems (pp. 1915-1918). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/ICDCS.2017.332.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-2C21-A Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2488-0
Genre: Conference Paper
Latex : Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines ({CDPPs})

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 Creators:
Feldmann, Anja1, Author                 
Hauswirth, Manfred1, Author
Markl, Volker1, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Dates: 20172017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ICDCS.2017.332
BibTex Citekey: DBLP:conf/icdcs/FeldmannHM17
 Degree: -

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Title: 37th International Conference on Distributed Computing Systems
Place of Event: Atlanta, GA, USA
Start-/End Date: 2017-06-05 - 2017-06-08

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Title: IEEE 37th International Conference on Distributed Computing Systems
  Abbreviation : ICDCS 2017
  Subtitle : Proceedings
Source Genre: Proceedings
 Creator(s):
Lee, Kisung, Editor
Liu, Ling, Editor
Affiliations:
-
Publ. Info: Los Alamitos, CA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1915 - 1918 Identifier: ISBN: 978-1-5386-1791-5