Survivable Optical WDM Networks by Canhui (Sam) Ou, Biswanath Mukherjee
By Canhui (Sam) Ou, Biswanath Mukherjee
Survivable Optical WDM Networks investigates diverse ways for designing and working an optical community with the ambitions that (1) extra connections will be carried through a given community, resulting in extra profit, and (2) connections can get well swifter in case of mess ups, resulting in larger companies. varied networks -- wavelength-routed WDM networks, wavelength-routed WDM networks with sub-wavelength granularity grooming, and information over next-generation SONET/SDH over WDM networks -- are coated. assorted methods are proposed to discover each point of a safeguard scheme such as:
(1) safeguard granularity
a. At wavelength granularity
b. At sub-wavelength granularity
(2) defense entity
a. course protection
b. Sub-path protection
c. phase protection
(3) Routing
a. Single-path routing
b. Multi-path routing
Tradeoffs among varied goals, e.g., source potency vs. restoration time, are explored and sensible techniques are proposed and analyzed.
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Canhui (Sam) Ou obtained a Ph.D. measure from the college of California, Davis, in 2004. His technical pursuits comprise WDM networks, MPLS, optical Ethernet, and FTTx. he's a crucial Member of Technical employees at SBC Communications, Inc. He labored at dash complicated know-how Laboratories and Fujitsu Laboratories of the US as an intern.
Biswanath Mukherjee acquired a Ph.D. measure from college of Washington, Seattle, in 1987. In 1987, he joined the college of California, Davis, the place he has been Professor of machine technology due to the fact that 1995, and served as Chairman of machine technology in the course of 1997-2000. he's writer of Optical conversation Networks booklet. he's a Member of the Board of administrators of IPLocks, a Silicon Valley startup corporation. He has consulted for and served at the Technical Advisory Board of a few startup businesses in optical networking. His study pursuits contain lightwave networks, community safeguard, and instant networks. Dr. Mukherjee is winner of the 2004 exotic Graduate Mentoring Award from UC Davis. He serves or has served at the Editorial forums of the IEEE/ACM Transactions on Networking, IEEE community, ACM/Baltzer instant Networks (WINET), Photonic community Communications, and others. He additionally served as Editor-at-Large for optical networking and communications for the IEEE Communications Society. He served because the Technical application Chair of the IEEE INFOCOM’96 Conference.
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Additional info for Survivable Optical WDM Networks
Example text
A lightpath-request set D, DC V x V, is a set of source-destination pairs, where each pair represents a lightpath request from the source node to the destination node". 1 The primary and backup paths of a lightpath are fiber-disjoint. 2 Two primary paths do not utilize the same wavelength on any common link they traverse. 5Ifthere are multiple lightpath requests between the same source-destin ation pair, then V contains multiple copies of that source-destination pair. 3 A primary path does not share any wavelength with any backup path on any common link they traverse.
1b and recompute the first minimal-cost (working) path, which turns out to be (6, 0, 5, 2), we are able to compute a linkdisjoint minimal-cost backup path (6, 5, 1, 2) as it can share the wavelength-link (1, 2) with the existing backup (6, 0, 1, 2, 3). If there exist chained trap situations, in which some traps do not appear until some others are processed, we can recursively apply this procedure. We introduce a parameter k to limit the number of recursions. The parameter k can be considered as the maximum number of trap situations we want to process.
A. 3 • Compute A FEasible Solution (CAFES) As the existence version of the problem is NP-complete, we resort to heuristics. In this section, we design a backtracking-based heuristic, called CAFES, to compute an eligible pair of working and backup paths for a lightpath request. , two link-disjoint paths). A widely-used approach for computing a feasible solution is the so-called two-step approach, which first computes a least-cost path as the working path and then computes as the backup path a link (or node) disjoint path of least additional cost.