Standby System Reliability through DRBD

被引:3
作者
Distefano, Salvatore [1 ]
机构
[1] Politecn Milan, Dipartimento Elettron Informat & Bioingn, Milan, Italy
来源
PROCEEDINGS OF 2014 IEEE INTERNATIONAL PARALLEL & DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW) | 2014年
关键词
Standby; Reliability; Redundancy; DRBD; Surveillance; PARALLEL REDUNDANT SYSTEM; DYNAMIC RELIABILITY; FAILURE;
D O I
10.1109/IPDPSW.2014.149
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The standby approach is of strategic importance in current technologies, since it is able to reduce the environmental impact while extending the system lifetime, allowing to achieve a trade-off among dependability properties and costs. This is particularly interesting in the IT context where the acquired awareness on energy efficiency and environmental issues pushed towards new forms and paradigms of ("green") computing to specifically address such aspects. Standby policies, mechanisms and techniques are characterized by complex phenomena that should be adequately investigated. This need is translated in a strong demand of adequate tools for standby system modelling and evaluation. In this paper the dynamic reliability block diagrams (DRBD) formalism, extending RBD to the representation of dynamic reliability aspects, is proposed for adoption in the standby system evaluation. In order to fill this gap, the DRBD semantics is revised to cover the specific peculiarities of standby system. Then, the effectiveness of the DRBD approach in standby modelling is demonstrated through a case study on a critical area surveillance system, where a capacity planning parametric analysis is performed to design the system through warm standby redundant cameras according to specific reliability requirements.
引用
收藏
页码:1331 / 1338
页数:8
相关论文
共 50 条
[31]   Reliability analysis of redundant retrial machining system subject to standby switching failure [J].
Wang, Kuo-Hsiung ;
Wu, Chia-Huang ;
Yen, Tseng-Chang .
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2023, 20 (05) :561-576
[32]   A study on utilization of two cold standby components to increase reliability of a coherent system [J].
Roy, Achintya ;
Gupta, Nitin .
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2025, 54 (02) :324-351
[33]   RELIABILITY ANALYSIS OF A NEW 2-UNIT HOT STANDBY REDUNDANT SYSTEM [J].
Su Baohe .
PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2008, :1741-1747
[34]   Reliability Analysis of a Warm Standby Repairable Human & Machine System with Two Same Components [J].
Guo Weihua ;
Peng Peirang .
2012 INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND COMMUNICATION TECHNOLOGY (ICCECT 2012), 2012, :9-12
[35]   The evolution of senescence through decelerating selection for system reliability [J].
Laird, R. A. ;
Sherratt, T. N. .
JOURNAL OF EVOLUTIONARY BIOLOGY, 2009, 22 (05) :974-982
[36]   Evaluation of the availability and reliability of a standby repairable system incorporating imperfect switchovers and working breakdowns [J].
Yang, Dong-Yuh ;
Wu, Chia-Huang .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 207
[37]   Reliability of an M-Out-of-N Warm Standby System with R Repair Facilities [J].
G. Arulmozhi .
OPSEARCH, 2002, 39 (2) :77-87
[38]   Analysis of Multi-State Warm Standby System Reliability Model with Repair Priority [J].
Hu, Tao ;
Yin, Dongliang ;
Chen, Tong .
2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2017, :2112-2118
[39]   Reliability analysis of a single warm-standby system subject to repairable and nonrepairable failures [J].
Wells, Charles E. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2014, 235 (01) :180-186
[40]   Reliability and sensitivity analysis of a system with multiple unreliable service stations and standby switching failures [J].
Ke, Jyh-Bin ;
Lee, Wen-Chiung ;
Wang, Kuo-Hsiung .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2007, 380 :455-469