On the resource efficiency of virtual concatenation in next-generation SDH networks

Virtual concatenation (VCAT) is an SDH/SONET network functionality recently standardized by the ITU-T. VCAT provides the flexibility required to efficiently allocate network resources to Ethernet, fiber channel, ESCON and other important data traffic signals. The aim of this paper is to quantify the savings in network resources provided by VCAT, with respect to contiguous concatenation (CCAT), in SDH/SONET mesh transport networks bearing protected scheduled connection demands (SCDs). We define mathematical models to quantify the add/drop and transmission resources required to instantiate a set of protected SCDs in either a VCAT-capable or a CCAT-capable network. Quantification of transmission resources requires a routing and slot assignment (RSA) problem to be solved. We formulate the RSA problem in VCATand CCAT-capable networks as two different combinatorial optimization problems: RSAv and RSAc, respectively. Protection of the SCDs is considered in the formulations using a shared backup path protection (SBPP) technique. We propose a simulated annealing (SA) based meta-heuristic algorithm to compute approximate solutions to these problems (i.e., solutions whose cost is close to the cost of the optimal ones). The gain in transmission resources and the cost structure of add/drop resources making VCAT-capable networks more economical are analyzed for different realistic traffic types (ESCON, GbE, fibre channel, voice).

[1]  Panos M. Pardalos,et al.  Frequency Assignment Problems , 1999, Handbook of Combinatorial Optimization.

[2]  Josue Kuri,et al.  Optimization problems in WDM optical transport networks with scheduled lightpath demands , 2003 .

[3]  David W. Matula,et al.  GRAPH COLORING ALGORITHMS , 1972 .

[4]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[5]  Zsolt Tuza,et al.  Graph colorings with local constraints - a survey , 1997, Discuss. Math. Graph Theory.

[6]  Emmanuel Dotaro,et al.  Routing foreseeable lightpath demands using a tabu search meta-heuristic , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[7]  Leland L. Beck,et al.  Smallest-last ordering and clustering and graph coloring algorithms , 1983, JACM.

[8]  Emmanuel Dotaro,et al.  Routing and wavelength assignment of scheduled lightpath demands , 2003, IEEE J. Sel. Areas Commun..

[9]  Balachander Krishnamurthy,et al.  Flash crowds and denial of service attacks: characterization and implications for CDNs and web sites , 2002, WWW.

[10]  Maurice Gagnaire,et al.  Strategies for the Routing and Wavelength Assignment of Scheduled and Random Lightpath Demands , 2004, ECUMN.

[11]  Maurice Gagnaire,et al.  Routing and Wavelength Assignment for Scheduled and Random Lightpath Demands: Bifurcated Routing versus Non-Bifurcated Routing , 2004, OpNeTec.

[12]  Tommy R. Jensen,et al.  Graph Coloring Problems , 1994 .

[13]  David Eppstein,et al.  Finding the k shortest paths , 1994, Proceedings 35th Annual Symposium on Foundations of Computer Science.

[14]  Paul Barford,et al.  Characteristics of network traffic flow anomalies , 2001, IMW '01.