Experimental Evaluation of Application Triggered Flow Classification Using Operated Data Center Traffic Data

Masaki Murakami

Presentation information

Oral Sessions

P2. Photonics in Switching Technologies, Systems, and Architectures for Computing and Big Data

[WG2] Data Center and Interconnection Networks

Wed. Jul 10, 2019 11:00 AM - 12:30 PM Room G (411, 4F, Fukuoka International Congress Center)

Presiders: Satoru Okamoto (Keio University, Japan), Hideki Tode (Osaka Prefecture University, Japan)

11:00 AM - 11:15 AM

[WG2-1] Experimental Evaluation of Application Triggered Flow Classification Using Operated Data Center Traffic Data

〇Masaki Murakami, Masahiro Matsuno, Satoru Okamoto, Naoaki Yamanaka (Keio Univ., Japan)

Keywords:Software defined networking (SDN) for computing and big data control

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.

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