Performance evaluation of MEGADOCK protein-protein interaction prediction system implemented with distributed containers on a cloud computing environment

• Item type: SIG Technical Reports(1)
• 公開日: 2019-07-22
• タイトル: Performance evaluation of MEGADOCK protein-protein interaction prediction system implemented with distributed containers on a cloud computing environment
• タイトル / 言語: en
• タイトル: Performance evaluation of MEGADOCK protein-protein interaction prediction system implemented with distributed containers on a cloud computing environment
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Department of Computer Science, School of Computing, Tokyo Institute of Technology／AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology
• 著者所属: Department of Computer Science, School of Computing, Tokyo Institute of Technology
• 著者所属: Department of Computer Science, School of Computing, Tokyo Institute of Technology
• 著者所属: Department of Computer Science, School of Computing, Tokyo Institute of Technology
• 著者所属(英): en
• 著者所属(英): Department of Computer Science, School of Computing, Tokyo Institute of Technology / AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology
• 著者所属(英): en
• 著者所属(英): Department of Computer Science, School of Computing, Tokyo Institute of Technology
• 著者所属(英): en
• 著者所属(英): Department of Computer Science, School of Computing, Tokyo Institute of Technology
• 著者所属(英): en
• 著者所属(英): Department of Computer Science, School of Computing, Tokyo Institute of Technology
• 著者名: Kento, Aoyama; Yuki, Yamamoto; Masahito, Ohue; Yutaka, Akiyama
• 著者名(英): Kento, Aoyama; Yuki, Yamamoto; Masahito, Ohue; Yutaka, Akiyama
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Container-based virtualization has begun to be introduced into large-scale parallel computing environments. In the bioinformatics field, where various dependent libraries and software tools need to be combined, the container technology that isolates the software environment and enables rapid distribution as in an immediate executable format, is expected to have many benefits. In this study, we employed Docker, which is an implementation of Linux containers, and implemented a distributed computing environment of our original protein-protein interaction prediction system, MEGADOCK, with virtual machine instances on Microsoft Azure cloud computing environment, and evaluated its parallel performance. Both when MEGADOCK was directly performed on the virtual machine and also when it is performed with Docker containers of MEGADOCK on the virtual machine, the execution speed achieved was almost equal even if the number of worker cores was increased up to approx. 500 cores.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Container-based virtualization has begun to be introduced into large-scale parallel computing environments. In the bioinformatics field, where various dependent libraries and software tools need to be combined, the container technology that isolates the software environment and enables rapid distribution as in an immediate executable format, is expected to have many benefits. In this study, we employed Docker, which is an implementation of Linux containers, and implemented a distributed computing environment of our original protein-protein interaction prediction system, MEGADOCK, with virtual machine instances on Microsoft Azure cloud computing environment, and evaluated its parallel performance. Both when MEGADOCK was directly performed on the virtual machine and also when it is performed with Docker containers of MEGADOCK on the virtual machine, the execution speed achieved was almost equal even if the number of worker cores was increased up to approx. 500 cores.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN10505667
• 書誌情報: 研究報告数理モデル化と問題解決（MPS）; 巻 2019-MPS-124, 号 13, p. 1-4, 発行日 2019-07-22
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8833
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会