Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 568-572.

• Interdiscipline & Application • Previous Articles     Next Articles

Analysis on Mathematical Models of Maintenance Decision and Efficiency Evaluation of Computer Hardware

ZHAI Yong, LIU Jin,CHEN Jie, LIU Lei,XING Xu-chao,DU Jiang   

  1. National Geomatics Center of China,Beijing 100830,China
  • Online:2018-06-20 Published:2018-08-03

Abstract: Combing the actual conditions of computer hardware maintenance and on the basis of the reliability and avai-lability theory of equipmentl subsystem,a calculation method of maintenance importance variables which include equipment / subsystem asset salvage value,importance of business and unreliability was analyzed in accordance with the principle of maintenance funding efficiency optimization.Based on this,the mathematical model for evaluating the maintenance requirement of equipment/subsystem was researched and constructed,and then the maintenance decision algorithm was put forward.Finally,combining the instances,the paper proposed the method of maintenance efficiency eva-luation by using reliability theory of computer equipment/subsystem and the availability analysis based on Markov chain,providing certain inspiration for quantitative assessment of computer hardware maintenance.

Key words: Asset salvage value, Availability, Efficiency evaluation, Evaluation of maintenance importance, Importance of business, Maintenance decision, Reliability

CLC Number: 

  • TP301
[1]卢明银,徐人平,李乃梁,等.系统可靠性[M].北京:机械工业出版社,2008.
[2]王海鹏,周兴社,张涛,等.面向用户的普适计算系统可用性度量模型[J].计算机科学,2006,33(11):89-93.
[3]刘慧敏.以ITIL为基础的IT服务管理应用研究[J].计算机技术与发展,2012,22(5):195-197.
[4]PECHT M,KAPUR K C,KANG R,et al.Foundations of Reliability Engineering[M].China:Publishing House of Electronics Industry,2011.
[5]刘昊.计算机可用性建模与评估工具的设计与实现[D].哈尔滨:哈尔滨工业大学,2011.
[6]TRIVEDI K S.Probability and Statistics with Reliability,Queuing,and Computer Science Applications,Second Edition[M].Publishing House of Electronics Industry,2015.
[7]XIE M,POH K L,DAI Y S.Computing System Reliability: Models and Analysis[M].Springer Publishing Company,Incorporated,2014.
[8]BEAUDRY M D.Performance-Related Reliability Measures for Computing Systems[J].IEEE Transactions on Computers,2006,C-27(6):540-547.
[9]SCHNEIDEWIND N.Quantitative Methods to Ensure the Relia- bility,Maintainability,and Availability of Computer Hardware and Software[M]∥Systems and Software Engineering with Applications.John Wiley & Sons,Inc.2011:1-43.
[10]EUSGELD I,FECHNER B,SALFNER F,et al.Hardware Reli- ability[M]∥Dependability Metrics.Springer Berlin Heidelberg,2008:59-103.
[11]LOPEZ L D,BOUGAEV A A,GROSS K C,et al.Method and system for the assessment of computer system reliability using quantitative cumulative stress metrics:US,US20130138419[P].2013.
[12]张志华.可靠性理论及工程应用[M].北京:科学出版社,2012.
[13]冯懿.复杂计算机系统可用性评测技术研究[D].哈尔滨:哈尔滨工业大学,2013.
[14]王宁,孙树栋,李淑敏,等.基于DD-HSMM的设备运行状态识别与故障预测方法[J].计算机集成制造系统,2012,18(8):1861-1868.
[15]刘克.实用马尔可夫决策过程[M].北京:清华大学出版社,2004.
[16]陆大絟.随机过程及其应用[M].北京:清华大学出版社,1986.
[1] ZHANG Zhi-long, SHI Xian-jun, QIN Yu-feng. Diagnosis Strategy Optimization Method Based on Improved Quasi Depth Algorithm [J]. Computer Science, 2022, 49(6A): 729-732.
[2] WANG Xin, ZHOU Ze-bao, YU Yun, CHEN Yu-xu, REN Hao-wen, JIANG Yi-bo, SUN Ling-yun. Reliable Incentive Mechanism for Federated Learning of Electric Metering Data [J]. Computer Science, 2022, 49(3): 31-38.
[3] FANG Ting, GONG Ao-yu, ZHANG Fan, LIN Yan, JIA Lin-qiong, ZHANG Yi-jin. Dynamic Broadcasting Strategy in Cognitive Radio Networks Under Delivery Deadline [J]. Computer Science, 2021, 48(7): 340-346.
[4] QI Hui, SHI Ying, LI Deng-ao, MU Xiao-fang, HOU Ming-xing. Software Reliability Prediction Based on Continuous Deep Confidence Neural Network [J]. Computer Science, 2021, 48(5): 86-90.
[5] CUI Jian-qun, HUANG Dong-sheng, CHANG Ya-nan, WU Shu-qing. Congestion Control Based on Message Quality and Node Reliability in DTN [J]. Computer Science, 2021, 48(4): 268-273.
[6] FENG Kai, MA Xin-yu. Subnetwork Reliability of (n,k)-bubble-sort Networks [J]. Computer Science, 2021, 48(4): 43-48.
[7] ZHNAG Kai-qi, TU Zhi-ying, CHU Dian-hui, LI Chun-shan. Survey on Service Resource Availability Forecast Based on Queuing Theory [J]. Computer Science, 2021, 48(1): 26-33.
[8] HE Zhi-peng, LI Rui-lin, NIU Bei-fang. Highly Available Elastic Computing Platform for Metagenomics [J]. Computer Science, 2021, 48(1): 326-332.
[9] ZHAO Hui-qun, WU Kai-feng. Big Data Valuation Algorithm [J]. Computer Science, 2020, 47(9): 110-116.
[10] FENG Kai, LI Jing. Study on Subnetwork Reliability of k-ary n-cubes [J]. Computer Science, 2020, 47(7): 31-36.
[11] WANG Hui-yan, XU Jing-wei, XU Chang. Survey on Runtime Input Validation for Context-aware Adaptive Software [J]. Computer Science, 2020, 47(6): 1-7.
[12] CHENG Yu, LIU Wei, SUN Tong-xin, WEI Zhi-gang, DU Wei. Design of Fault-tolerant L1 Cache Architecture at Near-threshold Voltage [J]. Computer Science, 2020, 47(4): 42-49.
[13] ZHANG Zheng-lin,ZHANG Li-wei,WANG Wen-juan,XIA Li,FU Hao,WANG Hong-zhi,YANG Li-zhuang and
LI Hai. Survey on Computerized Neurocognitive Assessment System [J]. Computer Science, 2020, 47(2): 150-156.
[14] GENG Hai-jun, YIN Xia. Efficient Intra-domain Routing Protection Algorithm Based on i-SPF [J]. Computer Science, 2019, 46(8): 116-120.
[15] LI Mi, ZHUANG Yi, HU Xin-wen. Embedded Software Reliability Model and Evaluation Method Combining AADL and Z [J]. Computer Science, 2019, 46(8): 217-223.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!