VcBalancer: Dynamic Volunteer Manager for Self-Adaptive Task Pulling

Chunggeon Song, Bongwoo Bak, Rohyoung Myung, Jaehyeck Lee, Jaehak Lee, Heonchang Yu

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

Abstract

The operation of volunteer computing application depends on the setting of user. Because the number of setting methodologies is diverse, it is difficult for ordinary users to apply an ideal setting to their volunteer applications. In this paper, we propose vcBalancer, a manager which periodically analyze the idle resources of volunteer system and dynamically apply the optimized user setting information to volunteer computing application. Our experiment shows that the vcBalancer improves the overall performance by 3% on average as compared with BOINC client's default configuration.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
EditorsFernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages271-274
Number of pages4
ISBN (Electronic)9781538626528
DOIs
Publication statusPublished - 2018 Dec 4
Event2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, United States
Duration: 2017 Dec 142017 Dec 16

Other

Other2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
CountryUnited States
CityLas Vegas
Period17/12/1417/12/16

Keywords

  • autonomic computing
  • virtualization
  • volunteer computing

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Song, C., Bak, B., Myung, R., Lee, J., Lee, J., & Yu, H. (2018). VcBalancer: Dynamic Volunteer Manager for Self-Adaptive Task Pulling. In F. G. Tinetti, Q-N. Tran, L. Deligiannidis, M. Q. Yang, M. Q. Yang, & H. R. Arabnia (Eds.), Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 (pp. 271-274). [8560800] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2017.45