Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Xiaozhu Kang"'
Publikováno v:
Discrete Mathematics & Theoretical Computer Science, Vol DMTCS Proceedings vol. AD,..., Iss Proceedings (2005)
Renewed interest in caching techniques stems from their application to improving the performance of the World Wide Web, where storing popular documents in proxy caches closer to end-users can significantly reduce the document download latency and ove
Externí odkaz:
https://doaj.org/article/10eeb3ec21bf4c289fcee5971d82b0f1
Autor:
Jelenković, Predrag R.1 predrag@ee.columbia.edu, Xiaozhu Kang1 xiaozhu@ee.columbia.edu, Jian Tan1 jiantan@ee.columbia.edu
Publikováno v:
Annals of Operations Research. Sep2009, Vol. 170 Issue 1, p133-159. 27p. 1 Graph.
Autor:
Grover, Satyajit1 satyajit.grover@intel.com, Xiaozhu Kang1 xiaozhu.kang@intel.com, Kounavis, Michael1 michael.e.kounavis@intel.com, Berry, Frank1 frank.berry@intel.com
Publikováno v:
Intel Technology Journal. Jun2009, Vol. 13 Issue 2, p66-79. 14p. 3 Diagrams, 1 Chart.
Publikováno v:
SIGCOMM
End-to-end communication encryption is considered necessary for protecting the privacy of user data in the Internet. Only a small fraction of all Internet traffic, however, is protected today. The primary reason for this neglect is economic, mainly s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca1ca29ebefec96ad72d9bb25e199e95
https://doi.org/10.1145/1851275.1851200
https://doi.org/10.1145/1851275.1851200
Publikováno v:
WWW
Internet Video sharing sites, led by YouTube , have been gaining popularity in a dazzling speed, which also brings massive workload to their service data centers. In this paper we analyze Yahoo! Video, the 2nd largest U.S. video sharing site, to unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2f51566e90517c87201b1ffff7f4bd7
https://doi.org/10.1016/j.jvcir.2009.06.007
https://doi.org/10.1016/j.jvcir.2009.06.007
Publikováno v:
SIGMETRICS
The Shortest Remaining Processing Time (SRPT) scheduling disciplineis optimal and its superior performance, compared with the policies that do not use the knowledge of job sizes, can be quantified using mean-value analysis as well as our new a sympto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5613efb37fb168764feb8b8e0e406f8d
https://doi.org/10.1145/1269899.1254907
https://doi.org/10.1145/1269899.1254907
Autor:
Predrag R. Jelenković, Xiaozhu Kang
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 36:119-121
Renewed interest in caching systems stems from their wide-spread use for reducing the document download latency over the Internet. Since caches are usually organized in a hierarchical manner, it is important to study the performance properties of tan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4fd83a6eb720fe70bb7c6b52e5a68bd
https://doi.org/10.1145/1453175.1453203
https://doi.org/10.1145/1453175.1453203
Autor:
Predrag R. Jelenković, Xiaozhu Kang
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 36:101-103
We show that mixing the statistically long jobs (subexponential) and short ones (exponentially bounded) using processor sharing service discipline causes long (subexponential) delays for all types of jobs in the system. Since processor sharing repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4b5ac8fcea95eac9475bc4f47651152
https://doi.org/10.1145/1453175.1453197
https://doi.org/10.1145/1453175.1453197
Publikováno v:
ISCC
In this paper we present system-wide analysis and performance tuning of a SPECweb SSL server. We focus on the banking workload of SPECweb because this workload is 100% SSL-enabled and thus designed to evaluate the SSL web server performance and capac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06bc2d7e17d5dc8338601366e1ab6826
https://doi.org/10.1109/iscc.2010.5546737
https://doi.org/10.1109/iscc.2010.5546737
Publikováno v:
ICWS
In this paper we measured and analyzed the workload on Yahoo! Video, the 2nd largest U.S. video sharing site, to understand its nature and the impact on online video data center design. We discovered interesting statistical properties on both static
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08bde3f5e719cc8b0862035d96c7ff73
https://doi.org/10.1109/icws.2008.28
https://doi.org/10.1109/icws.2008.28