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Performance Modeling of Large-Scale Parallel-Distributed Processing for Cloud Environment / クラウド環境における大規模並列分散処理の性能モデル

京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第21280号 / 情博第674号 / 新制||情||116(附属図書館) / 京都大学大学院情報学研究科システム科学専攻 / (主査)教授 田中 利幸, 教授 山下 信雄, 准教授 増山 博之, 教授 笠原 正治 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

Identiferoai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/232493
Date23 May 2018
CreatorsHirai, Tsuguhito
Contributors田中, 利幸, 山下, 信雄, 増山, 博之, 笠原, 正治, 平井, 嗣人, ヒライ, ツグヒト
PublisherKyoto University, 京都大学
Source SetsKyoto University
LanguageEnglish
Detected LanguageEnglish
Typedoctoral thesis, Thesis or Dissertation
Formatapplication/pdf
RightsChapter 2: (c) 2014 the American Institute of Mathematical Sciences. Re-used with permission from T. Hirai, H. Masuyama, S. Kasahara and Y. Takahashi, “Performance Analysis of Large-Scale Parallel-Distributed Processing with Backup Tasks for Cloud Computing, ” Journal of Industrial and Management Optimization, vol. 10, no. 1, pp. 113–129, 2014 (DOI: 10.3934/jimo.2014.10.113). Chapter 3 and Appendix A: (c) 2016 the Operations Research Society of Japan. Re-used with permission from T. Hirai, H. Masuyama, S. Kasahara and Y. Takahashi, “Performance Analysis of Task Replication in Large-Scale Parallel-Distributed Processing: An Extreme Value Theory Approach, ” Journal of the Operations Research Society of Japan, vol. 59, no. 2, pp. 174–194, 2016 (DOI: 10.15807/jorsj.59.174). Chapter 4: (c) 2018 the American Institute of Mathematical Sciences. Re-used with permission from T. Hirai, H. Masuyama, S. Kasahara and Y. Takahashi, “Performance Optimization of Parallel-Distributed Processing with Checkpointing for Cloud Environment, ” Published online in Journal of Industrial and Management Optimization (DOI: 10.3934/jimo.2018014).
Relationhttps://doi.org/10.3934/jimo.2014.10.113, https://doi.org/10.15807/jorsj.59.174, https://doi.org/10.3934/jimo.2018014

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