A Quick Inclusion-Exclusion technique

Abstract The reliability of modern information systems modeled as multi-state flow networks (MFNs) is a crucial concern the planning, design and control of these systems. The inclusion-exclusion technique (IET) is a popular tool for assessing MFN reliability because it is simple and easily understood. However, it is less efficient than other methods, like the sum-of-disjoint product method (SDP), for example. This paper proposes a new IET, called the Quick Inclusion-Exclusion technique (QIE) to increase the efficiency of the IET and reduce the amount of memory required in MFNs. The correctness and the time complexity of QIE is analyzed and proven. An MFN reliability example is implemented to illustrate the proposed QIE. In order to demonstrate its performance, the proposed QIE is compared with the most popular SDP, the recursive SDP (RSDP) in 20 benchmark networks taken from the literature. Numerical examples demonstrate that the proposed QIE outperforms RSDP in terms of both efficiency and memory use. This result differs significantly from those obtained by traditional methods.

[1]  Za'er Salim Abo-Hammour,et al.  Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm , 2014, Inf. Sci..

[2]  Gregory Levitin,et al.  The Universal Generating Function in Reliability Analysis and Optimization , 2005 .

[3]  S. Rai,et al.  Experimental results on preprocessing of path/cut terms in sim of disjoint products technique , 1993 .

[4]  Wei-Chang Yeh An Improved Sum-of-Disjoint-Products Technique for Symbolic Multi-State Flow Network Reliability , 2015, IEEE Transactions on Reliability.

[5]  Wei-Chang Yeh,et al.  A novel node-based sequential implicit enumeration method for finding all d-MPs in a multistate flow network , 2015, Inf. Sci..

[6]  Terje Aven,et al.  Some considerations on reliability theory and its applications , 1988 .

[7]  Wei-Chang Yeh,et al.  Resource allocation decision model for dependable and cost-effective grid applications based on Grid Bank , 2017, Future Gener. Comput. Syst..

[8]  Omar Abu Arqub,et al.  Optimization Solution of Troesch’s and Bratu’s Problems of Ordinary Type Using Novel Continuous Genetic Algorithm , 2014 .

[9]  Klaus Dohmen Inclusion-exclusion: Which terms cancel? , 2000 .

[10]  Wei-Chang Yeh A MCS-RSM approach for network reliability to minimise the total cost , 2003 .

[11]  David W. Coit,et al.  A Monte-Carlo simulation approach for approximating multi-state two-terminal reliability , 2005, Reliab. Eng. Syst. Saf..

[12]  Kailash C. Kapur,et al.  Reliability Bounds for Multistate Systems with Multistate Components , 1985, Oper. Res..

[13]  Wei-Chang Yeh,et al.  A Greedy Branch-and-Bound Inclusion-Exclusion Algorithm for Calculating the Exact Multi-State Network Reliability , 2008, IEEE Transactions on Reliability.

[14]  Hong-Zhong Huang,et al.  An efficient method for reliability evaluation of multistate networks given all minimal path vectors , 2007 .

[15]  Wei Jiang,et al.  Confidence bounds for the reliability of binary capacitated two-terminal networks , 2006, Reliab. Eng. Syst. Saf..

[16]  Wei-Chang Yeh,et al.  New parallel swarm algorithm for smart sensor systems redundancy allocation problems in the Internet of Things , 2016, The Journal of Supercomputing.

[17]  Sheng-De Wang,et al.  Reliability evaluation for distributed computing networks with imperfect nodes , 1997 .

[18]  Tao Zhang,et al.  Capacitated stochastic coloured Petri net-based approach for computing two-terminal reliability of multi-state network , 2012 .

[19]  Lirong Cui,et al.  Performance Analysis for a Wireless Sensor Network of Star Topology with Random Nodes Deployment , 2017, Wirel. Pers. Commun..

[20]  Yi-Kuei Lin,et al.  Backup reliability assessment within tolerable packet error rate for a multi-state unreliable vertex computer network , 2014, Inf. Sci..

[21]  R. V. Slyke,et al.  Reliability of computer-communication networks , 1971, WSC '71.

[22]  B. Sanso,et al.  COMMUNICATION AND TRANSPORTATION NETWORKS RELIABILITY USING ROUTING MODELS. REVISED EDITION , 1987 .

[23]  Wei-Chang Yeh Evaluating the reliability of a novel deterioration-effect multi-state flow network , 2013, Inf. Sci..

[24]  David A. Kessler,et al.  Inclusion-Exclusion Redux , 2002 .

[25]  Wei-Chang Yeh A simple approach to search for all d-MCs of a limited-flow network , 2001, Reliab. Eng. Syst. Saf..

[26]  Fang-Ming Shao,et al.  A practical bounding algorithm for computing two-terminal reliability based on decomposition technique , 2011, Comput. Math. Appl..

[27]  Yi-Kuei Lin,et al.  Routing scheme of a multi-state computer network employing a retransmission mechanism within a time threshold , 2016, Inf. Sci..

[28]  David W. Coit,et al.  Game-theoretic models for electric distribution resiliency/reliability from a multiple stakeholder perspective , 2017 .

[29]  Edoardo Patelli,et al.  A hybrid load flow and event driven simulation approach to multi-state system reliability evaluation , 2016, Reliab. Eng. Syst. Saf..

[30]  Ming Jian Zuo,et al.  Search for all d-MPs for all d levels in multistate two-terminal networks , 2015, Reliab. Eng. Syst. Saf..

[31]  Wei-Chang Yeh An improved sum-of-disjoint-products technique for the symbolic network reliability analysis with known minimal paths , 2007, Reliab. Eng. Syst. Saf..

[32]  Charles J. Colbourn,et al.  The Combinatorics of Network Reliability , 1987 .

[33]  Ziyou Gao,et al.  An improved algorithm for solving all d-MPs in multi-state networks , 2017 .

[34]  D. Shier Network Reliability and Algebraic Structures , 1991 .

[35]  Terje Aven,et al.  Availability evaluation of oil/gas production and transportation systems , 1987 .

[36]  Wei-Chang Yeh,et al.  A Squeezed Artificial Neural Network for the Symbolic Network Reliability Functions of Binary-State Networks , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[37]  Wei-Chang Yeh,et al.  A revised layered-network algorithm to search for all d-minpaths of a limited-flow acyclic network , 1998 .

[38]  J. Abraham An Improved Algorithm for Network Reliability , 1979, IEEE Transactions on Reliability.