DocumentCode
379567
Title
Algorithms for budget-constrained survivable topology design
Author
Garg, Nikhil ; Simha, Rahul ; Xing, Wenxun
Author_Institution
Dept. of Comput. Sci., George Washington Univ., DC, USA
Volume
4
fYear
2002
fDate
2002
Firstpage
2162
Abstract
An important sub-topic in survivable topology design is the augmentation of existing topologies to enable surviving node or link failures. The general topology augmentation problem addresses the general question: what additional resources are required to build upon an existing network to enhance its survivability? A typical such problem involves finding the fewest links to add to a topology to make the topology 2-edge-connected. This paper considers a variation of that problem: given a topology, a set of potential links each with a cost, and a limited budget, find links that can be added to enhance the topology´s biconnectivity. This variation is useful for the case where expansion of a topology is constrained by a limited budget. The problem is shown to be NP-complete. Three simple heuristics are presented and evaluated through experimentation. The main result is that simple greedy heuristics that reduce cost are not effective because the problem structure combines both costs and paths in unusual ways. Instead, a suite of heuristics appears to perform effectively.
Keywords
graph theory; network topology; telecommunication network planning; telecommunication network reliability; 2-edge-connected. topology; NP-complete problem; additional resources; biconnectivity; graph augmentation; greedy heuristics; limited budget; link failures; paths; reliability; survivable topology design; surviving node; topology augmentation; Algorithm design and analysis; Computer science; Cost function; Network topology; Optical fiber networks; Optical fibers; Protection; Simulated annealing; Softening;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2002. ICC 2002. IEEE International Conference on
Print_ISBN
0-7803-7400-2
Type
conf
DOI
10.1109/ICC.2002.997230
Filename
997230
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