Cost effective survivable virtual optical network mapping in flexible bandwidth optical networks +91-9994232214,7806844441, ieeeprojectchennai@gmail.com, www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2016-2017 ----------------------------------- Contact:+91-9994232214,+91-7806844441 Email: ieeeprojectchennai@gmail.com

1. Cost-Effective Survivable Virtual Optical Network Mapping in Flexible
Bandwidth Optical Networks
Abstract:
This paper addresses the minimum network cost problem for survivable virtual
optical network mapping in flexible bandwidth optical networks. For each virtual
link, we provide dedicated-path protection, i.e., primary path and backup path, to
guarantee high survivability on the physical network. To simplify the virtual links
mapping, an extended auxiliary graph is constructed by coordinating the virtual
optical network and the physical network. We develop an integer linear program
(ILP) model, the LBSD (the largest bandwidth requirement (LB) of virtual links
versus the shortest distance (SD)) mapping approach, the LCSD (the
largest computing (LC) resources requirement versus the shortest distance)
mapping approach to minimize the network cost for a given set of VONs. For
comparison, we also introduce one baseline mapping approach, named LCLC (the
largest computing resources requirement versus the largest computing resources
(LC) provisioning), and the lower bound. Simulation results show that, comparing
to the LCLC mapping approach, the ILP model, the LBSD and LCSD mapping
approaches not only solve the problem of minimizing the total network cost but
also guarantee that the spectrum usage and the number of regenerators are
minimum. The ILP model and the LBSD mapping approach are greatly close to a
lower bound of network cost and perform the same results as a lower bound of
spectrum usage in both the 6-node network and the 14-node network. As a
result, our proposed LBSD mapping approach can efficiently reduce the network

2. cost, spectrum usage, and the number of regenerators, which is near the optimal
solutions of the ILP model.