The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems

Chao-Chin Wu, Lien-Fu Lai, Liang Tsung Huang, Chao Tung Yang, Chung Lu

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

Abstract

The technique of parallel loop self-scheduling has been successfully applied to auto-parallelize rule-based expert systems previously. In a heterogeneous system, different compute nodes have different computer powers. Therefore, we have to choose a node to run the master process before running an application. In this paper, we focus on how different master nodes influence the performances of different self-scheduling schemes. In addition, we will investigate how the file system influences the performance. Experimental results give users the good guidelines on how to choose the master node, the self-scheduling scheme, and the file system for storing the results.

Original languageEnglish
Title of host publicationSecurity-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings
Pages149-158
Number of pages10
DOIs
Publication statusPublished - 2011 Nov 11
Event2nd International Conference on the Emerging Areas of Security-Enriched Urban Computing and Smart Grids, SUComS 2011 - Hualien, Taiwan
Duration: 2011 Sep 212011 Sep 23

Publication series

NameCommunications in Computer and Information Science
Volume223 CCIS
ISSN (Print)1865-0929

Other

Other2nd International Conference on the Emerging Areas of Security-Enriched Urban Computing and Smart Grids, SUComS 2011
CountryTaiwan
CityHualien
Period11-09-2111-09-23

Fingerprint

Rule-based Systems
Expert System
Expert systems
Scheduling
File System
Vertex of a graph
Choose
Heterogeneous Systems
Experimental Results
Influence

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Wu, C-C., Lai, L-F., Huang, L. T., Yang, C. T., & Lu, C. (2011). The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems. In Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings (pp. 149-158). (Communications in Computer and Information Science; Vol. 223 CCIS). https://doi.org/10.1007/978-3-642-23948-9_18
Wu, Chao-Chin ; Lai, Lien-Fu ; Huang, Liang Tsung ; Yang, Chao Tung ; Lu, Chung. / The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems. Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings. 2011. pp. 149-158 (Communications in Computer and Information Science).
@inproceedings{2cff69a764e04dbeb1be45449db70225,
title = "The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems",
abstract = "The technique of parallel loop self-scheduling has been successfully applied to auto-parallelize rule-based expert systems previously. In a heterogeneous system, different compute nodes have different computer powers. Therefore, we have to choose a node to run the master process before running an application. In this paper, we focus on how different master nodes influence the performances of different self-scheduling schemes. In addition, we will investigate how the file system influences the performance. Experimental results give users the good guidelines on how to choose the master node, the self-scheduling scheme, and the file system for storing the results.",
author = "Chao-Chin Wu and Lien-Fu Lai and Huang, {Liang Tsung} and Yang, {Chao Tung} and Chung Lu",
year = "2011",
month = "11",
day = "11",
doi = "10.1007/978-3-642-23948-9_18",
language = "English",
isbn = "9783642239472",
series = "Communications in Computer and Information Science",
pages = "149--158",
booktitle = "Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings",

}

Wu, C-C, Lai, L-F, Huang, LT, Yang, CT & Lu, C 2011, The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems. in Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings. Communications in Computer and Information Science, vol. 223 CCIS, pp. 149-158, 2nd International Conference on the Emerging Areas of Security-Enriched Urban Computing and Smart Grids, SUComS 2011, Hualien, Taiwan, 11-09-21. https://doi.org/10.1007/978-3-642-23948-9_18

The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems. / Wu, Chao-Chin; Lai, Lien-Fu; Huang, Liang Tsung; Yang, Chao Tung; Lu, Chung.

Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings. 2011. p. 149-158 (Communications in Computer and Information Science; Vol. 223 CCIS).

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

TY - GEN

T1 - The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems

AU - Wu, Chao-Chin

AU - Lai, Lien-Fu

AU - Huang, Liang Tsung

AU - Yang, Chao Tung

AU - Lu, Chung

PY - 2011/11/11

Y1 - 2011/11/11

N2 - The technique of parallel loop self-scheduling has been successfully applied to auto-parallelize rule-based expert systems previously. In a heterogeneous system, different compute nodes have different computer powers. Therefore, we have to choose a node to run the master process before running an application. In this paper, we focus on how different master nodes influence the performances of different self-scheduling schemes. In addition, we will investigate how the file system influences the performance. Experimental results give users the good guidelines on how to choose the master node, the self-scheduling scheme, and the file system for storing the results.

AB - The technique of parallel loop self-scheduling has been successfully applied to auto-parallelize rule-based expert systems previously. In a heterogeneous system, different compute nodes have different computer powers. Therefore, we have to choose a node to run the master process before running an application. In this paper, we focus on how different master nodes influence the performances of different self-scheduling schemes. In addition, we will investigate how the file system influences the performance. Experimental results give users the good guidelines on how to choose the master node, the self-scheduling scheme, and the file system for storing the results.

UR - http://www.scopus.com/inward/record.url?scp=80655125462&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80655125462&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-23948-9_18

DO - 10.1007/978-3-642-23948-9_18

M3 - Conference contribution

SN - 9783642239472

T3 - Communications in Computer and Information Science

SP - 149

EP - 158

BT - Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings

ER -

Wu C-C, Lai L-F, Huang LT, Yang CT, Lu C. The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems. In Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings. 2011. p. 149-158. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-23948-9_18