Data grid service reliability analysis based on production and consumption model and slack time

Ming Cheng Qu; Xiang Hu Wu; Ming Hong Liao; Xiao Zong Yang; De Cheng Zuo

Data grid service reliability analysis based on production and consumption model and slack time

Ming Cheng Qu^*
, Xiang Hu Wu
, Ming Hong Liao
, Xiao Zong Yang
, De Cheng Zuo

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Xiamen University

Research output: Contribution to journal › Article › peer-review

Abstract

Considering insufficient studies on Data Grid Reliability (DGR), a Production and Consumption Model (PCM) was introduced and an Extended Slack Time Model (ESTM) was put forward. Theoretical proof showed that PCM made Data Service Reliability (DSR) far less than DGR, and ESTM further reduced DSR. DSR and DGR were compared in simulation experiment, and comparative analysis between theory and experiment was carried out. Results showed that the PCM and ESTM were correct and effective.

Original language	English
Pages (from-to)	2166-2171
Number of pages	6
Journal	Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume	15
Issue number	11
State	Published - Nov 2009
Externally published	Yes

Keywords

Data grid service
Parallel data transfer
Production and consumption model
Reliability
Slack time

Cite this

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title = "Data grid service reliability analysis based on production and consumption model and slack time",

abstract = "Considering insufficient studies on Data Grid Reliability (DGR), a Production and Consumption Model (PCM) was introduced and an Extended Slack Time Model (ESTM) was put forward. Theoretical proof showed that PCM made Data Service Reliability (DSR) far less than DGR, and ESTM further reduced DSR. DSR and DGR were compared in simulation experiment, and comparative analysis between theory and experiment was carried out. Results showed that the PCM and ESTM were correct and effective.",

keywords = "Data grid service, Parallel data transfer, Production and consumption model, Reliability, Slack time",

author = "Qu, \{Ming Cheng\} and Wu, \{Xiang Hu\} and Liao, \{Ming Hong\} and Yang, \{Xiao Zong\} and Zuo, \{De Cheng\}",

year = "2009",

month = nov,

language = "英语",

volume = "15",

pages = "2166--2171",

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TY - JOUR

T1 - Data grid service reliability analysis based on production and consumption model and slack time

AU - Qu, Ming Cheng

AU - Wu, Xiang Hu

AU - Liao, Ming Hong

AU - Yang, Xiao Zong

AU - Zuo, De Cheng

PY - 2009/11

Y1 - 2009/11

N2 - Considering insufficient studies on Data Grid Reliability (DGR), a Production and Consumption Model (PCM) was introduced and an Extended Slack Time Model (ESTM) was put forward. Theoretical proof showed that PCM made Data Service Reliability (DSR) far less than DGR, and ESTM further reduced DSR. DSR and DGR were compared in simulation experiment, and comparative analysis between theory and experiment was carried out. Results showed that the PCM and ESTM were correct and effective.

AB - Considering insufficient studies on Data Grid Reliability (DGR), a Production and Consumption Model (PCM) was introduced and an Extended Slack Time Model (ESTM) was put forward. Theoretical proof showed that PCM made Data Service Reliability (DSR) far less than DGR, and ESTM further reduced DSR. DSR and DGR were compared in simulation experiment, and comparative analysis between theory and experiment was carried out. Results showed that the PCM and ESTM were correct and effective.

KW - Data grid service

KW - Parallel data transfer

KW - Production and consumption model

KW - Reliability

KW - Slack time

UR - https://www.scopus.com/pages/publications/72749097639

M3 - 文章

AN - SCOPUS:72749097639

SN - 1006-5911

VL - 15

SP - 2166

EP - 2171

JO - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

JF - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

IS - 11

ER -

Data grid service reliability analysis based on production and consumption model and slack time

Abstract

Keywords

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