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

Authors :
Naoaki Yamanaka
Masaki Murakami
Yoshihiko Uematsu
Satoru Okamoto
Nicolas Dubrana
Source :
26th Optoelectronics and Communications Conference.
Publication Year :
2021
Publisher :
Optica Publishing Group, 2021.

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.

Details

Database :
OpenAIRE
Journal :
26th Optoelectronics and Communications Conference
Accession number :
edsair.doi...........4b1f5e60f95daef6465e12edb768bd26
Full Text :
https://doi.org/10.1364/oecc.2021.m4a.6