光网络中波长转换器的优化放置问题求解

基于分层图模型,提出了一种的简化的计算具有波长转换器光网络中光链路阻塞率的数学模型和公式,并应用于遗传算法的迭代函数,通过遗传算法对波长转换器在光网络中的优化放置问题进行求解,分析了波长转换器的最优放置和波长转换器的最小使用数量。通过在美国自然科学基金网(NSFNet)的仿真模拟,得出了使用部分和全部波长转换时的网络阻塞特性。     

Wavelength Conversion in All-Optical Networks with Shortest-Path Routing

We consider all-optical networks with shortest-path routing that use wavelength-division multiplexing and employ wavelength conversion at specific nodes in order to maximize their capacity usage. We present efficient algorithms for deciding whether a placement of wavelength converters allows the network to run at maximum capacity, and for finding an optimal wavelength assignment when such a placement of converters is known. Our algorithms apply to both undirected and directed networks. Furthermore, we show that the problem of designing such networks, i.e., finding an optimal placement of converters, is MAX SNP-hard in both the undirected and the directed case. Finally, we give a linear-time algorithm for finding an optimal placement of converters in undirected triangle-free networks, and show that the problem remains NP-hard in bidirected triangle-free planar networks.     

A heuristic for placement of limited range wavelength converters in all-optical networks

Wavelength routed optical networks have emerged as a technology that can effectively utilize the enormous bandwidth of the optical fiber. Wavelength converters play an important role in enhancing the fiber utilization and reducing the overall call blocking probability of the network. As the distortion of the optical signal increases with the increase in the range of wavelength conversion in optical wavelength converters, limited range wavelength conversion assumes importance. Placement of wavelength converters is a NP complete problem [K.C. Lee, V.O.K. Li, IEEE J. Lightwave Technol. 11 (1993) 962–970] in an arbitrary mesh network. In this paper, we investigate heuristics for placing limited range wavelength converters in arbitrary mesh wavelength routed optical networks. The objective is to achieve near optimal placement of limited range wavelength converters resulting in reduced blocking probabilities and low distortion of the optical signal. The proposed heuristic is to place limited range wavelength converters at the most congested nodes, nodes which lie on the long lightpaths and nodes where conversion of optical signals is significantly high. We observe that limited range converters at few nodes can provide almost the entire improvement in the blocking probability as the full range wavelength converters placed at all the nodes. Congestion control in the network is brought about by dynamically adjusting the weights of the channels in the link thereby balancing the load and reducing the average delay of the traffic in the entire network. Simulations have been carried out on a 12-node ring network, 14-node NSFNET, 19-node European Optical Network (EON), 28-node US long haul network, hypothetical 30-node INET network and the results agree with the analysis.     

一种综合IP层和WDM层资源的光网络动态路由优化模型及其性能研究

在分层图模型的基础上,本文提出一种以最小化全网光路总代价为优化目标的IP over WDM光网络动态路由优化模型,设计了一种针对该模型的在线综合路由算法——MCTLP（Minimizing the Cost of Total Lightpaths）,MCTLP通过综合考虑IP逻辑层带宽资源分配和WDM光物理层波长链路资源的占用以优化网络资源。与两种有代表性的IP over WDM光网络路由算法的性能仿真时比表明：MCTLP能够在IP逻辑层和WDM光物理层都使用较少的链路以承载IP业务流,接纳更多的IP业务连接请求,有效地降低网络阻塞率．     

树形全光网络中波长转换器配置算法

配置有限数量的波长转换器使网络阻塞率最低,是全光网络中需要解决的一个关键问题.通过考虑网络的直径、中心以及节点和链路的通信量,采用网络分解和迭代的方法,提出树形网络中基于赋权直径的波长转换器配置算法、基于节点加权中心的波长转换器配置算法,以及基于光路加权中心的波长转换器配置算法.算法演示表明,提出的3个算法总是将波长转换器放置在阻塞率较高的节点上,从而大大降低网络整体阻塞率.     

Ant-based survivable routing in dynamic WDM networks with shared backup paths

In this paper, we consider the problem of survivable routing in dynamic WDM networks with single link failure model. Our work mainly concerns in how to dynamically determine a protection cycle (i.e., two link-disjoint paths between a node pair) to establish a dependable lightpath with backup paths sharing. This problem is identified as NP-complete, thus a heuristic for finding near optimal solution with reasonable computation time is usually preferred. Inspired from the principle of ant colony optimization, we propose in this paper an ant-based mobile agents algorithm for this problem with improved blocking performance. To enable the new ant-based algorithm, we propose to use on each network node both a routing table that contains a set of feasible protection cycles between source destination nodes and also a pheromone table for mobile agents. By keeping a suitable number of mobile agents in a network to continually and proactively update the routing tables based on the current network congestion state, the routing solution of a connection request can be obtained with a reasonable computation time. Extensive simulation results upon the ns-2 network simulator and two typical network topologies show that our new algorithm can achieve a significantly lower blocking probability than the promising algorithm for dynamic lightpath protection proposed in [11] with a comparable computation complexity.     

全光网波长转换器配置问题的一种启发式算法

波长转换技术可以消除全光网络中的波长一致性限制,降低网络阻塞率,因此在具有波长转换器的全光网中,如何通过合理配置、使用数量有限的波长转换器来最大程度的降低网络的阻塞率,这是全光网络需要解决的一个关键问题。因此对网络中通过节点的路由数量、通信量、路由长度及节点处于路由的中心距离进行分析,并给上述四个参数赋予一定的权重进行加权处理,提出了一种基于节点权的全光网络波长转换器配置算法,并针对一般拓扑网络进行了算法演示和分析。     

光纤Mesh网络动态组播业务疏导算法

针对当前低速组播业务请求与光网络高速波长传输容量的问题,基于光网络组播业务疏导模型,提出动态组播业务疏导算法,将新的组播业务请求疏导到已建立的光组播树上,达到提高网络资源的利用率、降低组播业务连接阻塞概率的目的。仿真结果表明,该算法可有效地改善网络性能。     

部分波长转换全光网阻塞概率的近似计算

该文基于链路波长占用独立性假设，改进了Birman 在1996年提出的分析模型，提出了一种部分波长转换全光网在固定式路由和随机分配波长条件下阻塞性能的近似分析方法，该方法可以适用于任何网络拓扑，任何业务量分布模式条件下网络中任意链路上配置任意数目转换器情况的研究，扩大了Birman模型的适用范围，对于转换器均匀放置的网络，在业务均匀分布或者业务量信中在短跳路径的情况下，近似计算能够较好地与计算机仿真相吻合，对于业务量集中在长跳路径的情况或者转换器非均匀放置的网络，近似计算能够很好地跟随计算机仿真结果。     

基于蚁群算法的通信线路最佳抢修路径问题的研究

通信线路最佳抢修路径问题,其实质就是交通路网中的最优路径问题。该文在研究蚁群算法的原理和基本模型的基础上,提出用一种改进的蚁群算法来解决最优路径问题。实验表明,该方法能在较短时间内发现最优解,对研究通信线路最佳抢修路径问题具有较大的实际意义。     

Particle swarm optimization-based DRWA for wavelength continuous WDM optical networks using a novel fitness function

Greater demand of bandwidth and network usage flexibility from customers along with new automated means for network resource management has led to the concept of dynamic resource provisioning in WDM optical networks where unlike the traditional static channel assignment process, network resources can be assigned dynamically. This paper examines a novel particle swarm optimization (PSO)-based scheme to solve dynamic routing and wavelength assignment (dynamic RWA) process needed to provision optical channels for wavelength continuous Wavelength Division Multiplexed (WDM) optical network without any wavelength conversion capability. The proposed PSO scheme employs a novel fitness function which is used during quantization of solutions represented by respective particles of the swarm. The proposed fitness function takes into account the normalized path length of the chosen route and the normalized number of free wavelengths available over the whole route, enabling the PSO-based scheme to be self-tuning by minimizing the need to have a dynamic algorithmic parameter ‘α’ needed for better performance in terms of blocking probability of the connection requests. Simulation results show better performance of the proposed PSO scheme employing novel fitness function for solving dynamic RWA problem, not only in terms of connection blocking probability but also route computation time as compared to other evolutionary schemes like genetic algorithms.     

面向服务组合的覆盖服务网络设计

提出了面向服务组合的覆盖服务网络(OSN)的设计方法。从节点放置和链路选择两方面考虑OSN的设计问题。给出了覆盖节点的放置模型,分别用不同算法求解。实验结果表明,Lagrangian松弛算法在寻优能力上高于贪婪算法和随机算法。用实验模拟了不同链路选择策略对OSN路由性能的影响,结果说明邻接连接拓扑结构的故障恢复率高、路由开销小,适合作为OSN的拓扑结构。     

Rerouting schemes for dynamic traffic grooming in optical WDM networks

Traffic grooming in optical WDM mesh networks is a two-layer routing problem to effectively pack low-rate connections onto high-rate lightpaths, which, in turn, are established on wavelength links. The objective of traffic grooming is to improve resource efficiency. However, resource contention between lightpaths and connections may result in inefficient resource usage or even the blocking of some connections. In this work, we employ a rerouting approach to alleviate resource inefficiency and improve the network throughput under a dynamic traffic model. We propose two rerouting schemes, rerouting at lightpath level (RRLP) and rerouting at connection level (RRCON) and a qualitative comparison is made between the two. We also propose two heuristic rerouting algorithms, namely the critical-wavelength-avoiding one-lightpath-limited (CWA-1L) rerouting algorithm and the critical-lightpath-avoiding one-connection-limited (CLA-1C) rerouting algorithm, which are based on the two rerouting schemes. Simulation results show that rerouting reduces the blocking probability of connections significantly.     

求解动态组播路由问题的混合优化遗传算法

分析了具有网络时延和时延抖动限制的动态组播路由问题的数学模型。在此模型的基础上提出了一种基因库(GP)与传统遗传算法(GA)混合的优化算法GP-GA。该算法利用基因库保存进化过程中得到的解路径以指导后继进化过程,同时改进了交叉和变异算子来加快算法的收敛速度。考虑到问题可能陷入的局部最优情况,又构造了基于“保留和不保留”的进化控制策略来增强寻优能力,很大程度上避免了算法“早熟”现象的发生。大量的仿真实验表明：GP GA算法相对现有的遗传算法求得最优解的概率更高,相对于动态的组播环境也有很好的代价性能。     

Dynamic routing with inaccurate link state information in integrated IP-over-WDM networks

In this paper, we investigate the problem of dynamically routing bandwidth-guaranteed label switched paths (LSPs) in integrated IP-over-wavelength division multiplexed (WDM) networks with inaccurate link state information. To select a good path, a routing algorithm needs up-to-date link state information. This leads to excessive update overhead and scalability problems. In real networks, from the practical point of view, in order to avoid extensive overhead of advertising and processing link state information, updates need to be made periodically or based on a threshold trigger. This leads to inaccuracies in the link state information. Our contribution is that we consider the routing problem taking into consideration the uncertainty of link state parameters due to wavelength inaccuracy in addition to bandwidth inaccuracy. Based on the threshold-triggered update scheme, we present a probabilistic method to model the uncertainty of link state parameters. We then define a cost function reflecting the uncertainty. Depending on different cost metrics chosen to be optimized, we propose two routing algorithms considering the uncertainty of link state parameters. The objective is to minimize the impact of inaccurate information so that the blocking probability as well as setup failures are reduced. We use various performance metrics such as total blocking probability, blocking probability due to setup failures, blocking probability due to routing failures, bandwidth update frequency, and wavelength update frequency to evaluate the effectiveness of the proposed algorithms. Through extensive simulation experiments, we show that our algorithms can significantly reduce the impact of inaccurate link state information and perform very well.     

移动Ad Hoc网络基于路由协议的拥塞控制

为解决Ad Hoc网络的AODV路由协议在通信过程中存在的拥塞问题,提出了改进AODV路由协议的思想。根据网络链路拥塞度的大小采取不同措施和节点路由,建立不相关多径路由分流以避免拥塞。仿真结果表明,改进后的路由协议有效地减少了发生拥塞的几率,从而提高了移动Ad Hoc网络的性能。     

Topology-aware wavelength partitioning for DWDM OBS networks: A novel approach for absolute QoS provisioning

Optical Burst Switching (OBS) is a promising switching technology for the next generation all-optical networks. An OBS network without wavelength converters and fiber delay lines can be implemented simply and cost-effectively using the existing technology. However, this kind of networks suffers from a relatively high burst loss probability at the OBS core nodes. To overcome this issue and consolidate OBS networks with QoS provisioning capabilities, we propose a wavelength partitioning approach, called Optimization-based Topology-aware Wavelength Partitioning approach (OTWP). OTWP formulates the wavelength partitioning problem, based on the topology of the network, as an Integer Linear Programming (ILP) model and uses a tabu search algorithm (TS) to resolve large instances efficiently. We use OTWP to develop an absolute QoS differentiation scheme, called Absolute Fair Quality of service Differentiation scheme (AFQD). AFQD is the first absolute QoS provisioning scheme that guarantees loss-free transmission for high priority traffic, inside the OBS network, regardless of its topology. Also, we use OTWP to develop a wavelength assignment scheme, called Best Effort Traffic Wavelength Assignment scheme (BETWA). BETWA aims to reduce loss probability for best effort traffic. To make AFQD adaptive to non-uniform traffic, we develop a wavelength borrowing protocol, called Wavelength Borrowing Protocol (WBP). Numerical results show the effectiveness of the proposed tabu search algorithm to resolve large instances of the partitioning problem. Also, simulation results, using ns-2, show that: (a) AFQD provides an excellent quality of service differentiation; (b) BETWA substantially decreases the loss probability of best effort traffic to a remarkably low level for the OBS network under study; and (c) WBP makes AFQD adaptive to non-uniform traffic by reducing efficiently blocking probability for high priority traffic.     

基于SDN的混合分段路由概率流调度机制

针对数据中心网络流量路径分配不均匀、易造成大流碰撞,以及控制器流表开销大等问题,提出了一种基于SDN的混合分段路由概率流调度机制SRPFS（segment routing probability flow scheduling）。利用SDN集中控制与全局视图特性,首先采用混合分段路由完成流量初始转发;然后选用粒子群优化算法,重定义粒子群内部寻优过程来对流量进行筛选;最后构造全局节点概率矩阵,设计概率调度算法选举出流量转发最优路径。实验结果表明混合分段路由转发技术在流表开销方面优势较大,并且SRPFS相比于其他较典型的流传输机制,在平均网络吞吐量、链路利用率、标准网络吞吐率等方面有明显优势,能够有效减轻控制器的流表负载,保证了较好的网络性能。     

A framework for end-to-end deterministic-delay service provisioning in multiservice packet networks

The problem of providing end-to-end delay guarantees for deterministic-delay services in multiservice packet networks is addressed through a combination of dynamic resource reservation and routing. Our model is based on using rate-controlled earliest-deadline-first (RC-EDF) for providing hard bounds on end-to-end delays. With RC-EDF, a certain delay bound has to be allocated for a connection at each node in the selected path. The most commonly used resource reservation policy is uniform allocation which is based on dividing the end-to-end delay bound equally among the nodes in the selected path. This simple allocation policy could lead to nonuniform resource loading and subsequently lead to high blocking rates. Moreover, the most commonly used routing method is shortest-path first routing which is known to lead to network hotspots. We propose a set of dynamic nonuniform resource reservation policies and dynamic routing methods. One of the routing methods is the well-known widest-shortest path method and the other is a dynamic routing method that adaptively adjusts link costs and uses a similar algorithm to shortest-path routing (e.g., Dijkstra's algorithm). We show that for both uniform and nonuniform traffic loading of some example network topologies that the combination of the proposed resource reservation policies and dynamic routing can lead to significant reduction in the connection blocking ratio in all loading conditions except for excessively high loads.