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Conferences > OECC > 2021 > M4A > M4A.6

Kalman Filter-based Heavy Hadoop Job Detection Method for Energy Efficient Hybrid Electro-Optical Intra-Data Center Networks

Masaki Murakami, Nicolas Dubrana, Yoshihiko Uematsu, Satoru Okamoto, and Naoaki Yamanaka

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Abstract

This paper proposes Hadoop job detection method using the Kalman filter and network configuration procedure for hybrid electro-optical intra-data center networks. The simulation results show improvement of detection accuracy and energy saving effect.

© 2021 The Author(s)

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