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IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 48, NO. 8, SEPTEMBER 2000 1571

Improved Lightpath (Wavelength) Routing inLarge WDM Networks

Weifa Liang and Xiaojun Shen

 Abstract—We address the problem of efficient circuit switchingin wide area networks. The solution provided is based on findingoptimal routes for lightpaths and semilightpaths. A lightpathis a fully optical transmission path, while a semilightpath is atransmission path constructed by chaining several lightpathstogether, using wavelength conversion at their junctions. Theproblem thus is to find an optimal lightpath/semilightpath inthe network in terms of the cost of wavelength conversion andthe cost of using the wavelengths on links. In this paper, wefirst present an efficient algorithm for the problem which runsin time , where and are thenumber of nodes and links in the network, and is the numberof wavelengths. We then analyze that the proposed algorithmrequires time for a restricted version of theproblem in which the number of available wavelengths for eachlink is bounded by and , where is the maximumin-degree or out-degree of the network. It is surprising to havefound that the time complexity for this case is independent of  .It must be mentioned that our algorithm can be implementedefficiently in the distributed computing environment. The dis-tributed version requires time and messages.Compared with a previous time algorithm, ouralgorithm has the following advantages. 1) We take into accountthe physical topology of the network which makes our algorithmoutperform the previous algorithm. In particular, when issmall [e.g., ] and , our algorithm runsin time , while the previous algorithm runs in time

. 2) Since our algorithm has high locality, it can beimplemented on the network distributively.

 Index Terms—Algorithm design and analysis, graph theory, op-tical networks, optimal semilightpaths, routing algorithms.

I. INTRODUCTION

THE EMERGING optical network offers the possibility of 

interconnecting hundreds of thousands of users, covering

local to wide area, and providing capacities exceeding substan-

tially those conventional networks. The network promises data

transmission rates several orders of magnitudes higher than cur-

rent electronic networks. The key to high speed in the network is

to maintainthe signalin optical form rather than traditional elec-

tronic form. The high bandwidth of fiber-optic links is utilizedthrough wavelength-division multiplexing (WDM) technology

which supports the propagation of multiple laser beams through

Paper approved by D. P. Taylor, the Editor for Signal Design, Modulation,and Detection of the IEEE Communications Society. Manuscript receivedNovember 18, 1997; revised January 21, 2000.

W. Liang is with the Department of Computer Science, Australian NationalUniversity, Canberra, ACT 0200 Australia (e-mail: [email protected]).

X. Shen is with the Computer Science Telecommunications Program,University of Missouri at Kansas City, Kansas City, MO 64110 USA (e-mail:[email protected]).

Publisher Item Identifier S 0090-6778(00)07535-8.

a single fiber-optic link provided that each laser beam uses a

distinct optical wavelength. The major applications of the net-

work are video conferencing, scientific visualization, real-time

medical imaging, supercomputing, and distributed computing

[2], [12], [13]. A comprehensive overview of its physical theory

and applications of this technology can be found in the books

by Green [8] and McAulay [11].

One major topic related to WDM networks is the routing

issue. The message transfer in the networks is through first

establishing the lightpath and then proceeding the transfer.

Lightpaths thus provide a powerful approach to utilize the

vast available bandwidth in WDM networks [1], [5], [10]. Alightpath is an all-optical transmission path between two nodes

in the network, implemented by assigning a unique wavelength

throughout the path. Data transmitted through a lightpath do

not need wavelength conversion or electronic processing at

intermediate nodes. Therefore, lightpaths enable an efficient

utilization of the optical bandwidth in WDM networks, and

reduce electronic processing delay at the intermediate nodes,

thereby improving reliability and the quality of the services

provided to data communications.

While transmittingall traffic between everypair of nodes over

lightpaths is desirable, it is not generally feasible to establish

lightpaths between every pair of nodes and accommodate all the

traffic by lightpaths, due to physical constraints such as limitednumber of wavelengths, limited number and tunability of op-

tical transceivers at each node as well as lightwave dispersions

that limit the physical length of a lightpath. Additionally, given

the network conditions, a single optical wavelength may not be

available between a given source and destination because some

of the resources are already occupied by existing lightpaths. To

cope with the above limits, Chlamtac et al. [4] introduced the

semilightpath concept in which a transmission path is obtained

by establishing and chaining several lightpaths together. Thus,

the wavelength conversions on a semilightpath are required at

some intermediate nodes, but generally not at every node. In this

case, thelightpath is a special case of the semilightpath when the

number of intermediate nodes on the path with wavelength con-version is zero.

The objective of this paper is to present algorithms for finding

an efficient routing semilightpath between a given source and

destination such that the cost sum of links and nodes on the path

is minimum in terms of the following cost measurements: 1) the

cost for traversing a link on some wavelength and 2) the cost for

wavelength conversion when the path has to switch to a different

wavelength at some intermediate nodes.

Clearly, if we only consider the first cost factor, the problem

becomes the traditional single-source shortest path problem

0090–6778/00$10.00 © 2000 IEEE

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LIANG AND SHEN: IMPROVED LIGHTPATH (WAVELENGTH) ROUTING IN LARGE WDM NETWORKS 1579

REFERENCES

[1] A. S. Acampora, “Partially reconfigurable multihop lightwave net-works,” in Proc. GLOBECOM , San Diego, CA, Dec. 1990.

[2] A. Aggarwal,A. Bar-Noy, D. Coppersmith, R. Ramaswami,B. Schieber,and M. Sudan, “Efficient routing in optical networks,” J. ACM , vol. 46,pp. 973–1001, 1996.

[3] K. M. Chandy and J. Misra, “Distributed computations on graphs:Shortest path algorithms,” Commun. ACM , vol. 25, pp. 833–837, 1982.

[4] I. Chlamtac, A. Faragó, and T. Zhang, “Lightpath (wavelength) routing

in large WDM networks,” IEEE J. Select. Areas Commun., vol. 14, pp.909–913, 1996.

[5] I. Chlamtac, A. Ganz, and G. Karmi, “Lightpath communications:a novel approach to high bandwidth optical WDN’s,” IEEE Trans.

Commun., vol. 40, pp. 1171–1182, July 1992.[6] T. H. Cormen, C. E. Leiserson, and R. L. Rivest, Introduction to Algo-

rithms. Cambridge, MA: MIT Press, 1989.[7] M. L. Fredman and R. E. Tarjan, “Fibonacci heaps and their uses in im-

proved network optimizationalgorithms,” J. ACM , vol. 34,pp. 596–615,1987.

[8] P. E. Green, Fiber-Optic Communication Networks. EnglewoodCliffs,NJ: Prentice-Hall, 1992.

[9] S. Haldar, “An ‘all pairs shortest paths’ distributed algorithm using 2messages,” J. Algorithms, vol. 24, pp. 20–36, 1997.

[10] J.-F. P. Labourdetteand A. S. Acampora,“A multichannel multihop locallightwave network,” in Proc. GLOBECOM , Tokyo, Japan, Nov. 1987.

[11] A. D. McAulay, Optical Computer Architectures. New York: Wiley,

1991.[12] R. Ramaswami, “Multi-wavelength lightwave networks for computer

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Weifa Liang received the Ph.D. degree in computerscience from the Australian National University,Canberra, Australia, in 1998. He received the M.E.degree from University of Science and Technologyof China, in 1989, and the B.S. degree from WuhanUniversity, China, in 1984, both in computer science.

He is currently holding a Lecturing position in theDepartment of Computer Science at the AustralianNational University. His research interests include

routing protocol design for high speed networks,parallel processing, parallel and distributed algo-rithms, data warehousing and OLAP, query optimization, and graph theory.

Xiaojun Shen received the Ph.D. degree incomputer science from the University of Illinoisat Urbana-Champaign, in 1989. He received theM.S. degree in computer science from the NanjingUniversity of Science and Technology, China, in1982, and the B.S. degree in numerical analysis fromthe Qinghua University, Beijing, China, in 1968.

He is currently an Associate Professor in theComputer Science Telecommunications Program atthe University of Missouri-Kansas City. His currentresearch interests include interconnection networks,

algorithms, and computer networking.


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