Tatsuhiro Chiba

Overview

Title

STSM, Manager, Hybrid Cloud

Location

IBM Research - Tokyo Tokyo, Japan

Bio

Tatsuhiro CHIBA, Ph.D.

Research Manager, Senior Technical Staff Member (STSM), Hybrid Cloud Infrastructure at IBM Research

19-21, Nihonbashi Hakozaki-cho,Chuo-ku, Tokyo 103-8510, Japan

Google Scholar

News

(May. 2022) Four papers have been accepted to IEEE CLOUD 2022. [link]
(Dec. 2021) Our paper, 'Towards Compute Flexibility for Genome Analysis in the Hybrid Cloud', received a best young researcher presentation award at IPSJ SIG OS 153 (SWoPP 2021). [link]
(Sep. 2021) Presented 'Run Wild: Resource Management System with Generalized Modeling for Microservices on Cloud' at IEEE CLOUD 2021. [link, paper, slide]
(Nov. 2020) Presented 'Investigating Genome Analysis Pipeline Performance on GATK with Cloud Object Storage' at IEEE MASCOTS 2020. [link, paper, slide]
(Jul. 2020) Presented 'ImageJockey: A Framework for Container Performance Engineering' at IEEE CLOUD 2020. [link, paper, slide]
(Jul. 2019) Presented 'EvFS: User-level, Event-Driven File System for Non-Volatile Memory' at USENIX HotStorage 19. [link, paper, slide]
(Jun. 2019) Presented 'ConfAdvisor: A Performance-centric Configuration Tuning Framework for Containers on Kubernetes' at IC2E 2019. [link, paper, slide]
(Dec. 2018) Presented 'Column Cache: Buffer Cache for Columnar Storage on HDFS' at IEEE Big Data 2018. [link]
(Jul. 2018) Presented 'Towards Selecting Best Combination of SQL-on-Hadoop Systems and JVMs' at IEEE CLOUD 2018. [paper, slide]
(Apr. 2016) Presented 'Workload Characterization and Optimization of TPC-H Queries on Apache Spark' at ISPASS 2016. [paper, slide]

Research Interests

Distributed and Parallel Systems, HPC, Hybrid Cloud, Programming Language and Runtime

Professional Activities (International Conference / Journals)

IEEE Big Data 2016, 2019, 2020 PC member
CANDAR 2017, 2018, 2019, 2020 PC member

Professional Activities (Domestic Conference / Journals)

Organizing committee member of SWoPP 2019, 2020, 2021.
Editorial board member of IPSJ Trans. of ACS. (2019/04 - )
ComSys 2018 Poster Chair (http://www.ipsj.or.jp/sig/os/index.php?ComSys2018)
ComSys 2017 Poster Chair (http://www.ipsj.or.jp/sig/os/index.php?ComSys2017)
Editorial board member of IPSJ Journal. (2017/04 - 2021/03)
ComSys 2016, 2017, 2018 PC member
Steering comittee member of IPSJ SIG OS (2015/04 - 2019/03)

Conference Papers

Bypass Container Overlay Networks with Transparent BPF-driven Socket Replacement
Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Marcelo Amaral, IEEE 15th International Conference on Cloud Computing (CLOUD 2022), July, 2022.
MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF
Marcelo Amaral, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura, Sunyanan Choochotkaew, IEEE 15th International Conference on Cloud Computing (CLOUD 2022), July, 2022.
AutoDECK: Automated Declarative Performance Evaluation and Tuning Framework on Kubernetes
Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura, Marcelo Amaral, IEEE 15th International Conference on Cloud Computing (CLOUD 2022), July, 2022.
Detecting Layered Bottlenecks in Microservices
Tatsushi Inagaki, Yohei Ueda, Moriyoshi Ohara, Sunyanan Choochotkaew, Marcelo Amaral, Scott Trent, Tatsuhiro Chiba, Qi Zhang, IEEE 15th International Conference on Cloud Computing (CLOUD 2022), July, 2022.
Run Wild: Resource Management System with Generalized Modeling for Microservices on Cloud
Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Marcelo Amaral, IEEE 14th International Conference on Cloud Computing (CLOUD 2021), September, 2021.
Investigating Genome Analysis Pipeline Performance on GATK with Cloud Object Storage
Tatsuhiro Chiba, Takeshi Yoshimura, IEEE 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2020), November, 2020.
ImageJockey: A Framework for Container Performance Engineering
Takeshi Yoshimura, Rina Nakazawa, Tatsuhiro Chiba, IEEE International Conference on Cloud Computing (CLOUD 2020), October, 2020.
EvFS: User-level, Event-Driven File System for Non-Volatile Memory
Takeshi Yoshimura, Tatsuhiro Chiba, Hiroshi Horii, 11th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage '19), July, 2019.
ConfAdvisor: A Performance Centric Config Tuning Framework for Containers on Kubernetes
Tatsuhiro Chiba, Rina Nakazawa, Hiroshi Horii, Sahil Suneja, Seethalami Seelam, IEEE International Conference on Cloud Engineering (IC2E 2019), June, 2019.
Column Cache: Buffer Cache for Columnar Storage on HDFS
Takeshi Yoshimura, Tatsuhiro Chiba, Hiroshi Horii, IEEE International Conference on Big Data (BigData 2018), December, 2018.
Towards Selecting Best Combination of SQL-on-Hadoop Systems and JVMs
Tatsuhiro Chiba, Takeshi Yoshimura, Michihiro Horie, Hiroshi Horii, IEEE International Conference on Cloud Computing (CLOUD 2018), July, 2018.
Workload Characterization and Optimization of TPC-H Queries on Apache Spark
Tatsuhiro Chiba, Tamiya Onodera, IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2016), April, 2016.
An Event-Processing System Alerting Analytically to Networked Vehicles
Haruki Imai, Kumiko Maeda, Tatsuhiro Chiba, Yasushi Negishi, Akira Koseki, Tohru Aihara, Hideaki Komatsu, IEEE Conference on Intelligent Transportation Systems, October, 2013.
Smarter Mobility Integrated System: A Real Time Processing Framework for Sensor Data Aggregation, Analysis and Query
Tatsuhiro Chiba, Haruki Imai, Kumiko Maeda, Akira Koseki, Yasushi Negishi, Hideaki Komatsu, ITS World Congress, ITS, October, 2013.
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielmann, Satoshi Matsuoka. In Proceedings of the 10th IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2010), May 2010.
High Performance MPI Broadcast Algorithm for Grid Environments Utilizing Multi-lane NICs
Tatsuhiro Chiba, Toshio Endo and Satoshi Matsuoka, In Proceedings of the 7th IEEE International Symposium on Cluster Computing and the Grid (CCGrid07), pp.487-494, May 2007.

Jounal Papers

金融分野におけるビックデータ分析
古関聰, 金山博, 坪井祐太, 平出涼, 千葉立寛, 米持幸寿, 野村尚，情報処理学会論文誌：デジタルプラクティス Vol.4 No. 1，2013．
Dynamic Optimization for Large Data Broadcast on Clouds
Tatsuhiro Chiba, Thilo Kielmann, Mathijs den Burger, Satoshi Matsuoka, IPSJ Transactions on Advanced Computing System, Vol.3 No.2, April 2010, Japanese.
MPI Collective Operations Algorithm by Using Multi-lane for Grid Environment
Tatsuhiro Chiba, Toshio Endo, Satoshi Matsuoka, IPSJ Transactions on Advanced Computing System, vol.48, No.SIG 14 (ACS 18), April 2007, Japanese.

Domestic Conference and Workshop Papers

Java 静的コンパイラを用いた Quarkus フレームワークの性能評価
伊澤侑祐, 堀江倫大, 緒方一則, 千葉立寛, IPSJ SIG PRO 2021-03.
Towards Compute Flexibility for Genome Analysis in the Hybrid Cloud
Takeshi Yoshimura, Tatsuhiro Chiba, IPSJ SIG OS153, SWoPP 2021.
コンテナ環境向けJavaフレームワークQuarkusの性能評価****Scheduling に向けたマイクロサービス性能モデルの検討
緒方一則, 堀江倫大, 千葉立寛, IPSJ SIG PRO 2020-03.
Elastic Scheduling に向けたマイクロサービス性能モデルの検討
千葉立寛, 中澤里奈, 堀井洋, IPSJ SIG OS147, SWoPP 2019.
動的なコンフィグチューニングによるコンテナ型アプリケーションの性能最適化
千葉立寛, 中澤里奈, 堀井洋, IPSJ SIG OS144, SWoPP 2018.
POWER システムへのユーザレベル NVMe ドライバの移植と性能評価
吉村剛, 千葉立寛, 堀井洋, IPSJ SIG OS144, SWoPP 2018.
SQL on Hadoop における実行エンジン及びJVMの適応的選択を用いた最適化に向けて
千葉立寛, 吉村剛, 堀江道大, 堀井洋, IPSJ SIG OS141, SWoPP 2017.
バッファキャッシュを用いたSparkシャッフル処理の最適化に向けて
吉村剛, 千葉立寛, 堀井洋, 小野寺民也, コンピュータシステムシンポジウム, Comsys 2016.
Spark上でのTPC-H Benchmarkのマルチレイヤ最適化の評価
千葉立寛, 堀井洋, 小野寺民也, 日本ソフトウェア科学会第32回大会, September, 2015.
分散プログラミング言語X10を用いたアナリティクスライブラリの実装と評価
千葉立寛，竹内幹雄，戸澤晶彦, IPSJ SIG HPC145, SWoPP 2014, August.
Dynamic Optimization for Large Data Broadcast on Clouds
Tatsuhiro Chiba, Thilo Kielmann, Mathijs den Burger, Satoshi Matsuoka, HPCS 2010, January 2010, Japanese.
MPI Collective Operations Algorithm by Using Multi-lane for Grid Environment
Tatsuhiro Chiba, Toshio Endo, Satoshi Matsuoka, HPCS 2007, Japanese, January 2007.

Books and Articles

クラウドシステム移行・導入アーキテクチャからハイブリッドクラウドまで, 金子格, 石黒正揮, 小川宏高, 小向太郎, 櫻田武嗣, 千葉立寛, 林良一, オーム社, Mar. 2022. [link]
クラウドネイティブ時代に振り返るコンテナのこれまでとこれから, 千葉立寛，情報処理 Vol.59 No.11 Oct. 2018. [Link]
Sparkによる実践データ解析 - 大規模データのための機械学習事例集，付録D, 千葉立寛，小野寺民也，O'Reilly Japan, Jan. 2016.