File Download
There are no files associated with this item.
SFX Link
- Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
- Nam, Beomseok
Views & Downloads
Detailed Information
Cited time in 
Cited time in 
Cited time in
Metadata Downloads
Exploring memory locality for big data analytics in virtualized clusters
- Author(s)
- Hwang, Eunji, Kim, Hyungoo, Nam, Beomseok, Choi, Young-Ri
- Issued Date
- 2017-09-24
- Citation
- ACM Symposium on Cloud Computing, pp.657
- Abstract
- In this work, we investigate techniques to improve the performance of big data analytics in virtualized clusters by effectively increasing the utilization of cached data and efficiently using scarce memory resources.
- Publisher
- ACM
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.