TY - GEN
T1 - Experimental Evaluation of Application Triggered Flow Classification Using Operated Data Center Traffic Data
AU - Murakami, Masaki
AU - Matsuno, Masahiro
AU - Okamoto, Satoru
AU - Yamanaka, Naoaki
N1 - Funding Information:
This work is supported by “HOLST (High-speed Optical Layer 1 Switch system for Time slot switching based optical data center networks) Project” funded by New Energy and Industrial Technology Development Organization (NEDO) of Japan
Publisher Copyright:
© 2019 The Institute of Electronics, Information and Communication Engineers (IEICE).
PY - 2019/7
Y1 - 2019/7
N2 - The prototype system of the energy efficient data center network HOLST was introduced and estimated 49% reduction of switching power consumption with application triggered flow classification using operated data center traffic data.
AB - The prototype system of the energy efficient data center network HOLST was introduced and estimated 49% reduction of switching power consumption with application triggered flow classification using operated data center traffic data.
KW - Software defined networking (SDN) for computing and big data control
UR - http://www.scopus.com/inward/record.url?scp=85072309257&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072309257&partnerID=8YFLogxK
U2 - 10.23919/PS.2019.8817632
DO - 10.23919/PS.2019.8817632
M3 - Conference contribution
AN - SCOPUS:85072309257
T3 - OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
BT - OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019
Y2 - 7 July 2019 through 11 July 2019
ER -