Effective use of computational resources in multicore distributed systems

Hidehiro Kanemitsu, Masaki Hanada, Takashige Hoshiai, Hidenori Nakazato

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., household PCs which we can easily harness in recent years. If there is one policy to automatically decide the 'best' combination and the number of processors (and computers), we effectively utilize those computational resources, thereby large number of jobs can be executed in parallel. In this paper, we propose a method for mapping of execution units for such environments. The method adopts a remapping technology after processor-execution unit mapping[6] is finished. Experimental comparisons by a simulation show the advantages of the proposed method.

    Original languageEnglish
    Title of host publicationInternational Conference on Advanced Communication Technology, ICACT
    Pages325-330
    Number of pages6
    Publication statusPublished - 2013
    Event15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013 - PyeongChang
    Duration: 2013 Jan 272013 Jan 30

    Other

    Other15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013
    CityPyeongChang
    Period13/1/2713/1/30

    Fingerprint

    Grid computing
    Cloud computing

    Keywords

    • Distributed Systems
    • Multicore
    • Parallel Computing
    • Task Clustering

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

    Kanemitsu, H., Hanada, M., Hoshiai, T., & Nakazato, H. (2013). Effective use of computational resources in multicore distributed systems. In International Conference on Advanced Communication Technology, ICACT (pp. 325-330). [6488198]

    Effective use of computational resources in multicore distributed systems. / Kanemitsu, Hidehiro; Hanada, Masaki; Hoshiai, Takashige; Nakazato, Hidenori.

    International Conference on Advanced Communication Technology, ICACT. 2013. p. 325-330 6488198.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Kanemitsu, H, Hanada, M, Hoshiai, T & Nakazato, H 2013, Effective use of computational resources in multicore distributed systems. in International Conference on Advanced Communication Technology, ICACT., 6488198, pp. 325-330, 15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013, PyeongChang, 13/1/27.
    Kanemitsu H, Hanada M, Hoshiai T, Nakazato H. Effective use of computational resources in multicore distributed systems. In International Conference on Advanced Communication Technology, ICACT. 2013. p. 325-330. 6488198
    Kanemitsu, Hidehiro ; Hanada, Masaki ; Hoshiai, Takashige ; Nakazato, Hidenori. / Effective use of computational resources in multicore distributed systems. International Conference on Advanced Communication Technology, ICACT. 2013. pp. 325-330
    @inproceedings{4145f4c9d8374e5b80ac4f59509b267c,
    title = "Effective use of computational resources in multicore distributed systems",
    abstract = "In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., household PCs which we can easily harness in recent years. If there is one policy to automatically decide the 'best' combination and the number of processors (and computers), we effectively utilize those computational resources, thereby large number of jobs can be executed in parallel. In this paper, we propose a method for mapping of execution units for such environments. The method adopts a remapping technology after processor-execution unit mapping[6] is finished. Experimental comparisons by a simulation show the advantages of the proposed method.",
    keywords = "Distributed Systems, Multicore, Parallel Computing, Task Clustering",
    author = "Hidehiro Kanemitsu and Masaki Hanada and Takashige Hoshiai and Hidenori Nakazato",
    year = "2013",
    language = "English",
    isbn = "9788996865018",
    pages = "325--330",
    booktitle = "International Conference on Advanced Communication Technology, ICACT",

    }

    TY - GEN

    T1 - Effective use of computational resources in multicore distributed systems

    AU - Kanemitsu, Hidehiro

    AU - Hanada, Masaki

    AU - Hoshiai, Takashige

    AU - Nakazato, Hidenori

    PY - 2013

    Y1 - 2013

    N2 - In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., household PCs which we can easily harness in recent years. If there is one policy to automatically decide the 'best' combination and the number of processors (and computers), we effectively utilize those computational resources, thereby large number of jobs can be executed in parallel. In this paper, we propose a method for mapping of execution units for such environments. The method adopts a remapping technology after processor-execution unit mapping[6] is finished. Experimental comparisons by a simulation show the advantages of the proposed method.

    AB - In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., household PCs which we can easily harness in recent years. If there is one policy to automatically decide the 'best' combination and the number of processors (and computers), we effectively utilize those computational resources, thereby large number of jobs can be executed in parallel. In this paper, we propose a method for mapping of execution units for such environments. The method adopts a remapping technology after processor-execution unit mapping[6] is finished. Experimental comparisons by a simulation show the advantages of the proposed method.

    KW - Distributed Systems

    KW - Multicore

    KW - Parallel Computing

    KW - Task Clustering

    UR - http://www.scopus.com/inward/record.url?scp=84876230360&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84876230360&partnerID=8YFLogxK

    M3 - Conference contribution

    SN - 9788996865018

    SP - 325

    EP - 330

    BT - International Conference on Advanced Communication Technology, ICACT

    ER -