Leveraging endpoint flexibility in data-intensive clusters

  title={Leveraging endpoint flexibility in data-intensive clusters},
  author={Mosharaf Chowdhury and Srikanth Kandula and Ion Stoica},
Many applications do not constrain the destinations of their network transfers. New opportunities emerge when such transfers contribute a large amount of network bytes. By choosing the endpoints to avoid congested links, completion times of these transfers as well as that of others without similar flexibility can be improved. In this paper, we focus on leveraging the flexibility in replica placement during writes to cluster file systems (CFSes), which account for almost half of all cross-rack… CONTINUE READING
Highly Influential
This paper has highly influenced 12 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 113 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 82 extracted citations

114 Citations

Citations per Year
Semantic Scholar estimates that this publication has 114 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-5 of 5 references

SCOPE: Easy and e›cient parallel processing of massive datasets

  • R. Chaiken
  • In VLDB,
  • 2008
Highly Influential
5 Excerpts

e Hadoop distributed le system: Architecture and design

  • D. Borthakur
  • Hadoop Project Website
  • 2007
Highly Influential
4 Excerpts


  • S. Ghemawat
  • Gobioš, and S.-T. Leung. e Google le system. In…
  • 2003
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…