Priority based dynamic lightpath allocation in WDM networks.

Internet development generates new bandwidth requirement every day. Optical networks employing WDM (wavelength division multiplexing) technology can provide high capacity, low error rate and low delay. They are considered to be future backbone networks. Since WDM networks usually operate in a high speed, network failure (such as fiber cut), even for a short term, can cause huge data lost. So design robust WDM network to survive faults is a crucial issue in WDM networks. This thesis introduces a new and efficient MILP (Mixed Integer Linear Programming) formulation to solve dynamic lightpath allocation problem in survivable WDM networks, using both shared and dedicated path protection. The formulation defines multiple levels of service to further improve resource utilization. Dijkstra\u27s shortest path algorithm is used to pre-compute up to 3 alternative routes between any node pair, so as to limit the lightpath routing problem within up to 3 routes instead of whole network-wide. This way can shorten the solution time of MILP formulation; make it acceptable for practical size network. Extensive experiments carried out on a number of networks show this new MILP formulation can improve performance and is feasible for real-life network. Source: Masters Abstracts International, Volume: 43-01, page: 0249. Adviser: Arunita Jaekel. Thesis (M.Sc.)--University of Windsor (Canada), 2004

Energy Efficient Survivable IP over WDM Networks with Network Coding

In this work we investigate the use of network coding in 1+1 survivable IP over WDM networks by encoding the protection paths of multiple flow with each other at intermediate nodes. We study the energy efficiency of this scheme through MILP, and a heuristic with five operating options. We evaluate the MILP and the heuristics on typical and regular network topologies. Our results show that implementing network coding can produce savings up to 37% on the ring topology and 23% considering typical topologies. We also study the impact of varying the demand volumes on the network coding performanc

Network protection with multiple availability guarantees

We develop a novel network protection scheme that provides guarantees on both the fraction of time a flow has full connectivity, as well as a quantifiable minimum grade of service during downtimes. In particular, a flow can be below the full demand for at most a maximum fraction of time; then, it must still support at least a fraction q of the full demand. This is in contrast to current protection schemes that offer either availability-guarantees with no bandwidth guarantees during the downtime, or full protection schemes that offer 100% availability after a single link failure. We develop algorithms that provide multiple availability guarantees and show that significant capacity savings can be achieved as compared to full protection. If a connection is allowed to drop to 50% of its bandwidth for 1 out of every 20 failures, then a 24% reduction in spare capacity can be achieved over traditional full protection schemes. In addition, for the case of q = 0, corresponding to the standard availability constraint, an optimal pseudo-polynomial time algorithm is presented.National Science Foundation (U.S.) (NSF grants CNS-1116209)National Science Foundation (U.S.) (NSF grants CNS-0830961)United States. Defense Threat Reduction Agency (grant HDTRA-09-1-005)United States. Defense Threat Reduction Agency (grant HDTRA1-07-1-0004)United States. Air Force (Air Force contract # FA8721-05-C-0002

A Hybrid p-Cycle Search Algorithm for Protection in WDM Mesh Networks

p-Cycle is a type of shared link protection for survivable wavelength-division multiplexing (WDM) mesh networks. p-Cycle not only retains ring-like restoration speeds, but also achieves capacity efficiency in mesh networks. However, finding the optimal set of p-cycles to protect all traffic demands within a reasonable response time is difficult. This is particularity true with dense meshes or large networks, because the number of candidates is huge. Generally, p-cycles are determined by using either Integer Linear Programming (ILP) or specifically designed heuristic algorithms. However, both methods need a set of efficient candidate cycles to tradeoff between the computational time and the optimality of solutions. For this reason, constructing an efficient set of candidate p-cycles is crucial and imperative. In this paper, we propose the Span-weighted Cycle Searching (SCS) algorithm to generate and select an adequate number of p-cycles to minimize the spare capacity, while achieving 100% restorability, within low computational complexity

A Hybrid p-Cycle Search Algorithm for Protection in WDM Mesh Networks

p-Cycle is a type of shared link protection for survivable wavelength-division multiplexing (WDM) mesh networks. p-Cycle not only retains ring-like restoration speeds, but also achieves capacity efficiency in mesh networks. However, finding the optimal set of p-cycles to protect all traffic demands within a reasonable response time is difficult. This is particularity true with dense meshes or large networks, because the number of candidates is huge. Generally, p-cycles are determined by using either Integer Linear Programming (ILP) or specifically designed heuristic algorithms. However, both methods need a set of efficient candidate cycles to tradeoff between the computational time and the optimality of solutions. For this reason, constructing an efficient set of candidate p-cycles is crucial and imperative. In this paper, we propose the Span-weighted Cycle Searching (SCS) algorithm to generate and select an adequate number of p-cycles to minimize the spare capacity, while achieving 100% restorability, within low computational complexity

Joint dimensioning of server and network infrastructure for resilient optical grids/clouds

We address the dimensioning of infrastructure, comprising both network and server resources, for large-scale decentralized distributed systems such as grids or clouds. We design the resulting grid/cloud to be resilient against network link or server failures. To this end, we exploit relocation: Under failure conditions, a grid job or cloud virtual machine may be served at an alternate destination (i.e., different from the one under failure-free conditions). We thus consider grid/cloud requests to have a known origin, but assume a degree of freedom as to where they end up being served, which is the case for grid applications of the bag-of-tasks (BoT) type or hosted virtual machines in the cloud case. We present a generic methodology based on integer linear programming (ILP) that: 1) chooses a given number of sites in a given network topology where to install server infrastructure; and 2) determines the amount of both network and server capacity to cater for both the failure-free scenario and failures of links or nodes. For the latter, we consider either failure-independent (FID) or failure-dependent (FD) recovery. Case studies on European-scale networks show that relocation allows considerable reduction of the total amount of network and server resources, especially in sparse topologies and for higher numbers of server sites. Adopting a failure-dependent backup routing strategy does lead to lower resource dimensions, but only when we adopt relocation (especially for a high number of server sites): Without exploiting relocation, potential savings of FD versus FID are not meaningful

Multiple Failure Survivability in WDM Mesh Networks

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation (NSF) / ANI 01-21662 ITR and ACI 99-84492 CAREE