The Diameter and Connectivity of Networks with Random Dependent Faults

被引:1
作者
Kranakis, Evangelos [1 ]
Paquette, Michel [1 ]
Pelc, Andrzej [2 ]
机构
[1] Carleton Univ, Sch Comp Sci, Ottawa, ON K1S 5B6, Canada
[2] Univ Quebec Outaouais, Dept Informat & Ingn, Gatineau, PQ J8X 3X7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Fault-tolerance; dependent faults; connectivity; diameter; crash faults; YIELD; MODEL;
D O I
10.1002/net.20352
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We study the connectivity and diameter of the fault-free part of n-node networks where nodes fail in a random dependent way. To capture fault dependencies, we introduce the neighborhood fault model, where damaging events, called spots, occur randomly and independently with probability p at nodes of a network, causing faults in the given node and its neighbors; faults at distance at most 2 become dependent. We investigate the impact of the spot probability on the connectivity and diameter of the fault-free part of the network. We show a network which has a low diameter with high probability, if p <= 1/c log n. We also show that, for constant spot probabilities, most classes of networks do not have their fault-free part connected with high probability. For smaller spot probabilities, connectivity with high probability is supported even by bounded degree networks: the torus supports connectivity with high probability when p is an element of 1/omega (n(1/2)), and does not when p is an element of 1/0(n(1/2)); a network built of tori is designed, with the same fault-tolerance properties and additionally having low diameter. We show, however, that for networks of degree bounded above by a constant A, the fault-free part can not be connected with high probability if p is an element of 1/0(n(1/Delta)). This is the first analytic paper which investigates the connectivity and diameter of networks where nodes fail in a random dependent way. (C) 2009 Wiley Periodicals, Inc. NETWORKS, Vol. 56(2)9103-115 2010
引用
收藏
页码:103 / 115
页数:13
相关论文
共 27 条
[1]   The effect of faults on network expansion [J].
Bagchi, Amitabha ;
Bhargava, Ankur ;
Chaudhary, Amitabh ;
Eppstein, David ;
Scheideler, Christian .
THEORY OF COMPUTING SYSTEMS, 2006, 39 (06) :903-928
[2]   BROADCASTING WITH RANDOM FAULTS [J].
BIENSTOCK, D .
DISCRETE APPLIED MATHEMATICS, 1988, 20 (01) :1-7
[3]   A CLUSTERED FAILURE MODEL FOR THE MEMORY ARRAY RECONFIGURATION PROBLEM [J].
BLOUGH, DM ;
PELC, A .
IEEE TRANSACTIONS ON COMPUTERS, 1993, 42 (05) :518-528
[4]   The random-cluster model on the complete graph [J].
Bollobas, B ;
Grimmett, G ;
Janson, S .
PROBABILITY THEORY AND RELATED FIELDS, 1996, 104 (03) :283-317
[5]  
Chlebus B. S., 1994, Nordic Journal of Computing, V1, P332
[6]  
Chlebus B.S., 1996, Comb., V5, P337
[7]  
CHOI A, 2002, P 19 INSTR MEAS TECH, V2, P1161
[8]  
GRIMMETT G, 2006, SERIES GRUNDLEHREN M, V333
[9]   A GUIDED TOUR OF CHERNOFF BOUNDS [J].
HAGERUP, T ;
RUB, C .
INFORMATION PROCESSING LETTERS, 1990, 33 (06) :305-308
[10]   Best second order bounds for two-terminal network reliability with dependent edge failures [J].
Hansen, P ;
Jaumard, B ;
Nguetse, GBD .
DISCRETE APPLIED MATHEMATICS, 1999, 97 :375-393