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

Fingerprint

Managers
Experiments

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

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

VcBalancer : Dynamic Volunteer Manager for Self-Adaptive Task Pulling. / Song, Chunggeon; Bak, Bongwoo; Myung, Rohyoung; Lee, Jaehyeck; Lee, Jaehak; Yu, Heonchang.

Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. ed. / Fernando G. Tinetti; Quoc-Nam Tran; Leonidas Deligiannidis; Mary Qu Yang; Mary Qu Yang; Hamid R. Arabnia. Institute of Electrical and Electronics Engineers Inc., 2018. p. 271-274 8560800.

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

Song, C, Bak, B, Myung, R, Lee, J, Lee, J & Yu, H 2018, VcBalancer: Dynamic Volunteer Manager for Self-Adaptive Task Pulling. in FG Tinetti, Q-N Tran, L Deligiannidis, MQ Yang, MQ Yang & HR Arabnia (eds), Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017., 8560800, Institute of Electrical and Electronics Engineers Inc., pp. 271-274, 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, Las Vegas, United States, 17/12/14. https://doi.org/10.1109/CSCI.2017.45
Song C, Bak B, Myung R, Lee J, Lee J, Yu H. VcBalancer: Dynamic Volunteer Manager for Self-Adaptive Task Pulling. In Tinetti FG, Tran Q-N, Deligiannidis L, Yang MQ, Yang MQ, Arabnia HR, editors, Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 271-274. 8560800 https://doi.org/10.1109/CSCI.2017.45
Song, Chunggeon ; Bak, Bongwoo ; Myung, Rohyoung ; Lee, Jaehyeck ; Lee, Jaehak ; Yu, Heonchang. / VcBalancer : Dynamic Volunteer Manager for Self-Adaptive Task Pulling. Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. editor / Fernando G. Tinetti ; Quoc-Nam Tran ; Leonidas Deligiannidis ; Mary Qu Yang ; Mary Qu Yang ; Hamid R. Arabnia. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 271-274
@inproceedings{d444113bb88a47dabe031e9a15654f81,
title = "VcBalancer: Dynamic Volunteer Manager for Self-Adaptive Task Pulling",
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.",
keywords = "autonomic computing, virtualization, volunteer computing",
author = "Chunggeon Song and Bongwoo Bak and Rohyoung Myung and Jaehyeck Lee and Jaehak Lee and Heonchang Yu",
year = "2018",
month = "12",
day = "4",
doi = "10.1109/CSCI.2017.45",
language = "English",
pages = "271--274",
editor = "Tinetti, {Fernando G.} and Quoc-Nam Tran and Leonidas Deligiannidis and Yang, {Mary Qu} and Yang, {Mary Qu} and Arabnia, {Hamid R.}",
booktitle = "Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - VcBalancer

T2 - Dynamic Volunteer Manager for Self-Adaptive Task Pulling

AU - Song, Chunggeon

AU - Bak, Bongwoo

AU - Myung, Rohyoung

AU - Lee, Jaehyeck

AU - Lee, Jaehak

AU - Yu, Heonchang

PY - 2018/12/4

Y1 - 2018/12/4

N2 - 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.

AB - 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.

KW - autonomic computing

KW - virtualization

KW - volunteer computing

UR - http://www.scopus.com/inward/record.url?scp=85060580371&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060580371&partnerID=8YFLogxK

U2 - 10.1109/CSCI.2017.45

DO - 10.1109/CSCI.2017.45

M3 - Conference contribution

AN - SCOPUS:85060580371

SP - 271

EP - 274

BT - Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017

A2 - Tinetti, Fernando G.

A2 - Tran, Quoc-Nam

A2 - Deligiannidis, Leonidas

A2 - Yang, Mary Qu

A2 - Yang, Mary Qu

A2 - Arabnia, Hamid R.

PB - Institute of Electrical and Electronics Engineers Inc.

ER -