クラウド用ディスクアレイ

2019-09-20| Category: cloud computing| website:
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クラウド用ディスクアレイ

今日の情報システムは,クラウドコンピューティング技術を活用して構築すること多くなっています。クラウドコンピューティングでは,膨大なサーバー群やストレージを集中管理するために,高度な並列分散技術や省エネルギー化技術の開発が求められています。本研究では,実際のクラウドサービスの動作解析を行いながら,機械学習等の最新の研究アプローチを活用しつつ,様々な性能に優れたクラウド用ディスクアレイの研究開発を推進しています。

Advanced Technology for Cloud Computing

Today’s information systems are often built using cloud computing technology. Cloud computing requires the development of advanced parallel distributed technology and energy saving technology to centrally manage a large number of servers and storage. In this research, we conduct research and development while making use of the latest research approaches such as machine learning, analyzing the behavior of actual cloud services.

Publication

  1. Takaaki Fukai, Takahiro Shinagawa, Kazuhiko Kato: Live Migration in Bare-metal Clouds. IEEE Transactions on Cloud Computing, July 2018. IEEE Xplore

  2. Yusuke Morikoshi, Hirotake Abe and Kazuhiko Kato. HayACK: Exploiting Characteristically Diverse Paths to Achieve Quick ACKing in MPTCP. International Workshop on the Future of Cloud Computing and Cloud Services (FutureCloud 2017, held in conjunction with IEEE CloudCom 2017), 8 pages, December 2017.

  3. Takaaki Fukai, Satoru Takekoshi, Kohei Azuma, Takahiro Shinagawa, Kazuhiko Kato: BMCArmor: A Hardware Protection Scheme for Bare-metal Clouds, In Proceedings of the 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017), Dec 2017.

  4. K. Hasebe, T. Sawada, and K. Kato: A Game Theoretic Approach to Power Reduction in Distributed Storage Systems, Journal of Information Processing, vol.24, no.1, pp.173-181, 2016.

  5. Takaaki Fukai, Yushi Omote, Takahiro Shinagawa, Kazuhiko Kato, “OS-Independent Live Migration Scheme for Bare-metal Clouds”, 8th IEEE/ACM International Conference on Utility and Cloud Computing, Dec. 2015. Best Paper Award.

  6. Koji Hasebe, unpei. Okoshi, and Kazuhiko Kato. Power-Saving in Storage Systems for Cloud Data Sharing Services with Data Access Prediction. IEICE Transactions, vol.E98-D, no.10, pp.1744-1754, Oct 2015.

  7. Koji Hasebe, Naofumi Nishita, and Kazuhiko Kato. Highly Available Primary-Backup Mechanism for Internet Services with Optimistic Consensus. IEEE Third International Workshop on Cloud Computing Interclouds, Multiclouds, Federations, and Interoperability (Intercloud 2014), pp.410-416, March, 2014.

  8. Koji Hasebe, Takumi Sawada, and Kazuhiko Kato. Using a Potential Game for Power Reduction in Distributed Storage Systems. IEEE International Workshop on Software Defined Systems (SDS 2014), pp.550-555, March, 2014.

  9. Jumpei Okoshi, Koji Hasebe and Kazuhiko Kato, “Power-Saving in Storage Systems for Internet Hosting Services with Data Access Prediction”, International Green Computing Conference (IGCC), 2013.

  10. 杉木章義,加藤和彦,”クラウド基盤ミドルウェアKumoiのセキュリティ設計と実装”, コンピュータソフトウェア,日本ソフトウェア科学会,Vol. 30, No. 4, pp. 3-17, 2013年11月.第4回ソフトウェア論文賞.

  11. Jumpei Okoshi, Koji Hasebe and Kazuhiko Kato. Power-Aware Autonomous Distributed Storage Systems for Internet Hosting Service Platforms. 3rd International Conference on Cloud Computing (CloudComp 2012), 10 pages, Sep. 2012.

  12. 杉木章義,奥畑聡仁,加藤和彦,”クラウド基盤ソフトウェアにおけるFailure-Oblivious Computingの導入”,情報処理学会論文誌コンピューティングシステム(ACS),5 (5),pp. 103-117,2012年.