Robust and efficient monitor placement for network tomography in dynamic networks
File(s)2016_12_Tomography_Ting_He_uploaded_2017_01_09.pdf (468.27 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
We consider the problem of placing the minimum number of monitors in a dynamic network to identify additive link metrics from path metrics measured along cycle-free paths between monitors. Our goal is robust monitor placement, i.e., the same set of monitors can maintain network identifiability under topology changes. Our main contribution is a set of monitor placement algorithms with different performance-complexity tradeoffs that can simultaneously identify multiple topologies occurring during the network lifetime. In particular, we show that the optimal monitor placement is the solution to a generalized hitting set problem, for which we provide a polynomial-time algorithm to construct the input and a greedy algorithm to select the monitors with logarithmic approximation. Although the optimal placement is NP-hard in general, we identify non-trivial special cases that can be solved efficiently. Our secondary contribution is a dynamic triconnected decomposition algorithm to compute the input needed by the monitor placement algorithms, which is the first such algorithm that can handle edge deletions. Our evaluations on mobility-induced dynamic topologies verify the efficiency and the robustness of the proposed algorithms.
Date Issued
2017-06-01
Date Acceptance
2016-12-16
Citation
IEEE/ACM Transactions on Networking, 2017, 25 (3), pp.1732-1745
ISSN
1063-6692
Publisher
IEEE
Start Page
1732
End Page
1745
Journal / Book Title
IEEE/ACM Transactions on Networking
Volume
25
Issue
3
Copyright Statement
© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000403825400033&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Network tomography
monitor placement
dynamic graph decomposition
CONNECTIVITY
IDENTIFIABILITY
SPARSIFICATION
ALGORITHMS
Publication Status
Published