Atsuko TAKEFUSA


Performance Evaluation of Pipeline-Based Processing for the Caffe Deep Learning Framework
Ayae ICHINOSE Atsuko TAKEFUSA Hidemoto NAKADA Masato OGUCHI 
Publication:   
Publication Date: 2018/04/01
Vol. E101-D  No. 4  pp. 1042-1052
Type of Manuscript:  Special Section PAPER (Special Section on Data Engineering and Information Management)
Category: 
Keyword: 
deep learningmachine learningdistributed processingcloud computinglife-log analysis
 Summary | Full Text:PDF(3.3MB)

A Study of Effective Replica Reconstruction Schemes for the Hadoop Distributed File System
Asami HIGAI Atsuko TAKEFUSA Hidemoto NAKADA Masato OGUCHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/04/01
Vol. E98-D  No. 4  pp. 872-882
Type of Manuscript:  PAPER
Category: Data Engineering, Web Information Systems
Keyword: 
HDFSdistributed file systemreplicareconstructionheuristicoptimization
 Summary | Full Text:PDF(1.1MB)

Grid Network Service-Web Services Interface Version 2 Achieving Scalable Reservation of Network Resources Across Multiple Network Domains via Management Plane
Yukio TSUKISHIMA Michiaki HAYASHI Tomohiro KUDOH Akira HIRANO Takahiro MIYAMOTO Atsuko TAKEFUSA Atsushi TANIGUCHI Shuichi OKAMOTO Hidemoto NAKADA Yasunori SAMESHIMA Hideaki TANAKA Fumihiro OKAZAKI Masahiko JINNO 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2010/10/01
Vol. E93-B  No. 10  pp. 2696-2705
Type of Manuscript:  PAPER
Category: Network
Keyword: 
gridmultiple international domainsresource reservationWeb services interface
 Summary | Full Text:PDF(2.3MB)