A framework for MGrid resource service optimal-selection and composition

F. Tao; L. Zhang; D. Zhao

doi:10.1109/IEEM.2009.5373415

A framework for MGrid resource service optimal-selection and composition

F. Tao^*
, L. Zhang
, D. Zhao

^*Corresponding author for this work

University of Michigan, Dearborn

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The problem of resource service optimal-selection and composition (RSOSC) in manufacturing grid (MGrid) system is proposed. Based on the authors' previous work, a framework for addressing RSOSC problem in MGrid system is presented. The framework consists of five layers: (1) task layer-responsible for MGrid task decomposition, (2) resource service match and search layer-responsible for searching the qualified resource service according to each decomposed subtask's requirements, (3) resource service QoS processing layer-responsible for collecting QoS information for each candidate resource service, as well as QoS evaluation, comparison, monitor, updating, (4) resource service optimal-selection layer-responsible for evaluating and ranking the candidate resource service for each subtask, and (5) resource service composition layer- responsible for resource service composition and optimal-selection.

Original language	English
Title of host publication	IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages	110-114
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2009.5373415
State	Published - 2009
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China Duration: 8 Dec 2009 → 11 Dec 2009

Publication series

Name	IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
Country/Territory	China
City	Hong Kong
Period	8/12/09 → 11/12/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Manufacturing grid (MGrid)
Optimal-selection and composition
Resource service

Access to Document

10.1109/IEEM.2009.5373415

Cite this

Tao, F., Zhang, L., & Zhao, D. (2009). A framework for MGrid resource service optimal-selection and composition. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 110-114). Article 5373415 (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2009.5373415

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title = "A framework for MGrid resource service optimal-selection and composition",

abstract = "The problem of resource service optimal-selection and composition (RSOSC) in manufacturing grid (MGrid) system is proposed. Based on the authors' previous work, a framework for addressing RSOSC problem in MGrid system is presented. The framework consists of five layers: (1) task layer-responsible for MGrid task decomposition, (2) resource service match and search layer-responsible for searching the qualified resource service according to each decomposed subtask's requirements, (3) resource service QoS processing layer-responsible for collecting QoS information for each candidate resource service, as well as QoS evaluation, comparison, monitor, updating, (4) resource service optimal-selection layer-responsible for evaluating and ranking the candidate resource service for each subtask, and (5) resource service composition layer- responsible for resource service composition and optimal-selection.",

keywords = "Manufacturing grid (MGrid), Optimal-selection and composition, Resource service",

author = "F. Tao and L. Zhang and D. Zhao",

year = "2009",

doi = "10.1109/IEEM.2009.5373415",

language = "英语",

isbn = "9781424448708",

series = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",

pages = "110--114",

booktitle = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",

note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 ; Conference date: 08-12-2009 Through 11-12-2009",

}

Tao, F , Zhang, L & Zhao, D 2009, A framework for MGrid resource service optimal-selection and composition. in IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management., 5373415, IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management, pp. 110-114, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009, Hong Kong, China, 8/12/09. https://doi.org/10.1109/IEEM.2009.5373415

A framework for MGrid resource service optimal-selection and composition. / Tao, F.; Zhang, L.; Zhao, D.
IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. p. 110-114 5373415 (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A framework for MGrid resource service optimal-selection and composition

AU - Tao, F.

AU - Zhang, L.

AU - Zhao, D.

PY - 2009

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AB - The problem of resource service optimal-selection and composition (RSOSC) in manufacturing grid (MGrid) system is proposed. Based on the authors' previous work, a framework for addressing RSOSC problem in MGrid system is presented. The framework consists of five layers: (1) task layer-responsible for MGrid task decomposition, (2) resource service match and search layer-responsible for searching the qualified resource service according to each decomposed subtask's requirements, (3) resource service QoS processing layer-responsible for collecting QoS information for each candidate resource service, as well as QoS evaluation, comparison, monitor, updating, (4) resource service optimal-selection layer-responsible for evaluating and ranking the candidate resource service for each subtask, and (5) resource service composition layer- responsible for resource service composition and optimal-selection.

KW - Manufacturing grid (MGrid)

KW - Optimal-selection and composition

KW - Resource service

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DO - 10.1109/IEEM.2009.5373415

M3 - 会议稿件

AN - SCOPUS:77949504081

SN - 9781424448708

T3 - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

SP - 110

EP - 114

BT - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009

Y2 - 8 December 2009 through 11 December 2009

ER -

A framework for MGrid resource service optimal-selection and composition

Abstract

Publication series

Conference

UN SDGs

Keywords

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