SIGN IN
SIGN UP
Scarlett: coping with skewed content popularity in mapreduce clusters
Full Text:
PDF
Buy this Article
Authors:
Ganesh Ananthanarayanan
University of California, Berkeley, Berkeley, CA, USA
Sameer Agarwal
University of California, Berkeley, Berkeley, CA, USA
Srikanth Kandula
Microsoft Research, Redmond, WA, USA
Albert Greenberg
Microsoft Research, Redmond, WA, USA
Ion Stoica
University of California, Berkeley, Berkeley, CA, USA
Duke Harlan
Microsoft Bing, Redmond, WA, USA
Ed Harris
Microsoft Bing, Redmond, WA, USA
2011 Article
Bibliometrics
· Downloads (6 Weeks): 8
· Downloads (12 Months): 125
· Downloads (cumulative): 328
· Citation Count: 13
Published in:
· Proceeding
EuroSys '11
Proceedings of the sixth conference on Computer systems
Pages 287-300
ACM
New York, NY
, USA
©2011
table of contents
ISBN: 978-1-4503-0634-8
doi>
10.1145/1966445.1966472
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Share:
|
Tags:
algorithms
data locality
datacenter storage
distributed file systems
fairness
measurement
performance
replication
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder