Balancing buffer utilization in meshes using a "restricted area" concept

Adaptive routing and virtual channels are used to increase routing adaptivity in wormhole-routed two-dimensional meshes. But increasing channel buffer utilization without considering even distribution of the traffic loads tends to cause congestion in the most adaptive routing area. To avoid such traffic congestion, a concept of the restricted area is proposed. The proposed restricted area, defined to be a part of the network where message transmission concentrates, can be located following the region of adaptivity. By properly guiding message routing inside and outside the area, we are able to achieve more balanced buffer utilization and to reduce traffic congestion accordingly. The performance of several routing algorithms with or without using the restricted area is simulated and evaluated under various traffic loads and distribution patterns. The results indicate that routing algorithms with the restricted areas yield constantly larger throughput and smaller latency than routing algorithms without using the concept.     

超立方体多处理机系统中基于扩展最优通路矩阵的容错路由

该文在高峰等文章的基础上，提出了针对超立方体结构多处理机系统的扩展最优通路矩阵（Extended Optimal Path Matrices,EOPMs）的概念，并给出了一个建立EIPMs的算法和基于EOPMs的容错路由算法，证明了基于EOPMs的容错路由算法是基于扩展安全向量（ESVs）^[13]和基于最优通路矩阵（OPMs)^[14]容错路由算法的扩展，与原文相比，该算法的存储开销与OPMs,相同，但记录的最优通路的信息，包含了原文所记录的最优通路的信息，使搜索最优通路的能力比它们有进一步的提高。     

Routing in wormhole-switched clustered networks with applicationsto fault tolerance

This paper presents a novel technique for routing in wormhole-switched multiprocessor interconnection networks with clustered configuration. The network model used here consists of a set of clusters interfaced through a common central network. We assume that the central network and the clusters use independent algorithms to route messages between their internal nodes. A technique for deriving a global routing algorithm based on the local algorithms is presented, which allows the transfer of messages between any pair of nodes in the network. This proposed method is shown to be deadlock-free with two virtual channels. The clustered network model and the proposed routing technique can be used to enhance the fault tolerance capability of existing routing algorithms. In particular, we describe fault-tolerant routing methods for meshes, which can tolerate any arbitrary fault distribution without disabling connected healthy nodes     

FRoots: A Fault Tolerant and Topology-Flexible Routing Technique

Existing solutions for fault-tolerant routing in interconnection networks either work for only one given regular topology, or require slow and costly network reconfigurations that do not allow full and continuous network access. In this paper, we present FRroots, a routing method for fault tolerance in topology-flexible network technologies. Our method is based on redundant paths, and can handle single dynamic faults without sending control messages other than those that are needed to inform the source nodes of the failing component. Used in a modus with local rerouting, the source nodes need not be informed and no control messages are necessary for the network to stay connected despite of a single fault. In fault-free networks under nonuniform traffic our routing method performs comparable to, or even better than, topology specific routing algorithms in regular networks like meshes and tori. FRoots does not require any other features in the switches or end nodes than a flexible routing table, and a modest number of virtual channels. For that reason, it can be directly applied to several present day technologies like InfiniBand and Advanced Switching.     

Adaptive Fault-Tolerant Multicast in Hypercube Multicomputers

Fault-tolerant message routing mechanism is a key to the performance of reliable multicomputers. Multicast refers to the delivery of the same message from a source node to an arbitrary number of destination nodes. This paper presents two types of partially adaptive fault tolerant multicast algorithms. The Type A algorithm can deliver messages to all destinations through shortest paths if each fault-free node has at most one faulty neighbor. The Type B algorithm can deliver messages to all destinations if the total number of faulty links and faulty nodes is less than the dimension of the hypercube. The proposed algorithms have the following important features: they are distributed, they only require local information to determine the paths, and they need very little additional message overhead. The performance of the algorithms, measured by the traffic created by the communication, is very close to that in fault-free hypercubes.     

A new performance measure for characterizing fault rings in interconnection networks

One of the fundamental issues in parallel computers is how to efficiently perform routing in a faulty network where each component fails with some probability. Adaptive fault-tolerant routing algorithms in such systems have been frequently suggested as a means of providing continuous operations in the presence of one or more failures by allowing the graceful system degradation. Many algorithms involve adding buffer space and complex control logic to the routing nodes. However, the addition of extra logic circuits and buffer space makes nodes more liable to failure and less reliable. Further, if the shape of fault pattern is confined, then many non-faulty nodes will be sacrificed and hence their resources are wasted. This is clearly an undesirable solution and motivates solutions that provoke efficient use of non-faulty nodes. One such approach to reducing the number of functional nodes that must be marked as faulty is based on the concept of fault rings to support more flexible routing around rectangular fault regions. Before such schemes can be successfully incorporated in networks, it is necessary to have a clear understanding of the factors that affect their performance potential. In this paper, we propose the first general solution for computing the probability of message facing the fault rings with and without overlapping in the well-known torus networks. We also conduct extensive simulation experiments using various fault patterns, the results of which are used to confirm the good accuracy of the proposed analytical models.     

基于改进AOMDV路由协议的WSNs拥塞控制和能耗均衡策略

无线传感器网络WSNs中数据流的突发、节点能量有限和多对一数据传输等特性导致其很容易发生网络拥塞和节点能量的非均衡消耗,而采用多路径方式进行数据传输,不仅可以缓解网络拥塞,而且也能达到网络能量均衡消耗的目的。AOMDV协议是一种面向Ad-Hoc网络的反应式多路由协议,首先提出了一种改进的AOMDV协议—I_AOMDV协议,在路由发现阶段不再使用发生拥塞和低能量的节点,而在路由维护阶段则仅使用HELLO信息交换邻居节点的"剩余能量"和"队列长度",同时在路径列表中添加了"拥塞恢复时间"和"能量剩余标志位",从而使I_AOMDV协议更适应于静态WSNs的数据传输。基于I_AOMDV协议,进一步提出了新的网络拥塞控制和能耗均衡策略,其中,拥塞控制策略采用新的拥塞检测方案,并为发生拥塞的最短路径设置了"拥塞恢复时间";而能耗均衡策略则通过为节点的每条路径设置"能量剩余标志位"来解决能量的非均衡消耗问题。仿真实验结果表明,基于I_AOMDV的拥塞控制和能耗均衡策略,可以减少路由协议的开销,有效降低数据丢包率和节点剩余能量的差异性。     

MCAR: Non-local adaptive Network-on-Chip routing with message propagation of congestion information

Congestion occurs frequently in Networks-on-Chip (NoC) when the packet demands exceed the capacity of network resources. Non-local adaptive routing algorithms utilize the congestion information of both local and distant links to decide the output link selection, which can greatly improve the network performance. The existing non-local adaptive routing algorithms have two mechanisms to propagate the congestion information of distant links. One of mechanism is to increase additional wires/clusters. The other mechanism is to embed the propagated information in packet headers. This paper proposes a new non-local adaptive routing algorithm called MCAR. In MCAR, two special kinds of messages are used to propagate the congestion information of distant links across the network without introducing additional wires/clusters and leading to a better timeliness of congestion information. Moreover, MCAR efficiently utilizes the propagated information to decide the output link selection. Experimental results on both synthetic traffic patterns and application traces show that MCAR achieves better saturation throughput (5.84% on average) and smaller power consumption (7.58% on average) than a state-of-the-art adaptive routing algorithm.     

An efficient modular spare allocation scheme and its application tofault tolerant binary hypercubes

Consideration is given to fault tolerant systems that are built from modules called fault tolerant basic blocks (FTBBs), where each module contains some primary nodes and some spare nodes. Full spare utilization is achieved when each spare within an FTBB can replace any other primary or spare node in that FTBB. This, however, may be prohibitively expensive for larger FTBBs. Therefore, it is shown that for a given hardware overhead more reliable systems can be designed using bigger FTBBs without full spare utilization than using smaller FTBBs with full spare utilization. Sufficient conditions for maximizing the reliability of a spare allocation strategy in an FTBB for a given hardware overhead are presented. The proposed spare allocation strategy is applied to two fault tolerant reconfiguration schemes for binary hypercubes. One scheme uses hardware switches to replace a faulty node, and the other scheme uses fault tolerant routing to bypass faulty nodes in the system and deliver messages to the destination node     

延迟容忍网络中基于概率传递的可靠路由算法

针对延迟容忍网络中节点缓存受限引起大量消息被丢弃的问题,在概率路由算法的基础上,提出一种基于概率传递的可靠路由算法R PROPHET。该路由算法根据节点缓存中消息替换的历史情况评价节点的可靠性,以保证消息在可靠的节点间传输直至交付给目的节点。仿真结果表明,该算法能够减轻消息在节点间无效传递的情况,能够获得较高的消息交付率,并具有较低的通信开销。     

Fault-Tolerant Wormhole Routing with 2 Virtual Channels in Meshes

In wormhole meshes, a reliable routing is supposed to be deadlock-free and fault-tolerant. Many routing algorithms are able to tolerate a large number of faults enclosed by rectangular blocks or special convex, none of them, however, is capable of handling two convex fault regions with distance two by using only two virtual networks. In this paper, a fault-tolerant wormhole routing algorithm is presented to tolerate the disjointed convex faulty regions with distance two or no less, which do not contain any nonfaulty nodes and do not prohibit any routing as long as nodes outside faulty regions are connected in the mesh network. The processors＇ overlapping along the boundaries of different fault regions is allowed. The proposed algorithm, which routes the messages by X-Y routing algorithm in fault-free region, can tolerate convex fault-connected regions with only two virtual channels per physical channel, and is deadlock- and livelock-free. The proposed algorithm can be easily extended to adaptive routing.     

Barrier synchronization on wormhole-routed networks

In this paper, we propose an efficient barrier synchronization scheme on networks with arbitrary topologies. We first present a distributed method in building a barrier routing tree. The barrier messages can be delivered adaptively according to the hierarchy of the established barrier tree to void congestion and faulty nodes in the network. We then propose a new technique, called bandwidth-preempting technique, for a blocked barrier message to preempt a channel occupied by a data message so that the latency of a barrier message can be controlled without affecting much of the overall system performance. We also propose an analytical performance model and present simulation results for the performance evaluation of the proposed scheme. Performance evaluations show that the proposed scheme outperforms the existing algorithms for barrier synchronization     

一种考虑节点拥塞情况的DTN概率路由算法*

容迟网络是一种新型网络,其概率路由算法根据历史相遇频率对相遇概率进行计算与更新,通过相遇概率判断是否转发报文。当节点缓存受限时,在网络中采用概率路由算法使得节点很容易发生拥塞,对报文的传送产生影响。为了减小拥塞对概率路由算法的影响,提出了一种考虑节点拥塞情况的概率路由算法,将节点相遇的概率和节点拥塞的情况综合起来,得到一个报文的递交概率,降低了由于拥塞对网络性能的影响,提高了报文的递交率,减小了报文在缓存中排队等候的时间。仿真结果表明,与传统的概率路由算法相比,在改进后的概率路由算法中报文递交率显著提高,平均延迟也在降低。     

A reinforcement learning-based routing for delay tolerant networks

Delay Tolerant Reinforcement-Based (DTRB) is a delay tolerant routing solution for IEEE 802.11 wireless networks which enables device to device data exchange without the support of any pre-existing network infrastructure. The solution utilizes Multi-Agent Reinforcement Learning techniques to learn about routes in the network and forward/replicate the messages that produce the best reward. The rewarding process is executed by a learning algorithm based on the distances between the nodes, which are calculated as a function of time from the last meetings. DTRB is a flooding-based delay tolerant routing solution. The simulation results show that DTRB can deliver more messages than a traditional delay tolerant routing solution does in densely populated areas, with similar end-to-end delay and lower network overhead.     

Compressionless routing: a framework for adaptive andfault-tolerant routing

Compressionless routing (CR) is an adaptive routing framework which provides a unified framework for efficient deadlock free adaptive routing and fault tolerance. CR exploits the tight coupling between wormhole routers for flow control to detect and recover from potential deadlock situations. Fault tolerant compressionless routing (FCR) extends CR to support end to end fault tolerant delivery. Detailed routing algorithms, implementation complexity, and performance simulation results for CR and FCR are presented. These results show that the hardware for CR and FCR networks is modest. Further, CR and FCR networks can achieve superior performance to alternatives such as dimension order routing. Compressionless routing has several key advantages: deadlock free adaptive routing in toroidal networks with no virtual channels, simple router designs, order preserving message transmission, applicability to a wide variety of network topologies, and elimination of the need for buffer allocation messages. Fault tolerant compressionless routing has several additional advantages: data integrity in the presence of transient faults (nonstop fault tolerance), permanent fault tolerance, and elimination of the need for software buffering and retry for reliability. The advantages of CR and FCR not only simplify hardware support for adaptive routing and fault tolerance, they also can simplify software communication layers     

车联网环境下基于节点认知交互的路由算法

针对车联网（IoV）环境下消息传输效率低下、网络资源开销较大等诸多问题，提出一种适用于城市交通场景下基于车辆节点认知交互的路由算法。首先，依据信任理论提出节点认知交互度的概念，并在此基础上对车联网中的车辆节点进行分类，赋予它们不同的认知交互度初值；同时还引入车辆节点交互时间、交互频率、车辆节点物理间隔距离、间隔跳数以及消息生存时间等影响因子，进而构建了车辆节点认知交互评估模型。基于该模型计算并更新节点的认知交互度，并通过比较对应车辆节点间的认知交互度值来选取认知交互度相对较高的邻居节点作为中继节点进行消息转发。仿真实验结果表明，与Epidemic和Prophet路由算法相比，所提路由算法有效提高了消息投递率并降低了消息投递时延，同时显著降低了网络资源的开销，有助于提升车联网环境的消息传输质量。     

A novel heterogeneous congestion criterion for mesh-based networks-on-chip

In recent years, congestion in Networks-on-chip (NoC) has emerged as an important research topic due to the increasing number of processing cores. To solve the congestion, all the methods that have been proposed require a congestion criterion to detect whether a node is congested or not. All the congestion criteria that have been developed so far have similar behavior for all nodes in the network. In this paper, for the first time, a heterogeneous congestion criterion is proposed for a two-dimensional mesh network that is determined for each node based on its betweenness centrality. This criterion can be generalized to the other topology such as torus easily. This criterion is calculated before the network starts up and does not have any overhead in run time. Using this criterion will reduce the average latency of any congestion-aware method, such as congestion-aware routing algorithms. The evaluation section shows that the use of this criterion in three famous routing algorithms reduces the average latency up to 48% (21% on average for all algorithms and traffic patterns) in both real and synthetic traffics. In addition, the usage of this criterion reduces the power consumption in all simulation conditions because of reducing the average latency and lack of overhead. It is also shown at the end of the evaluation section that an increase in the network size will result in better performance of this criterion.     

Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs

Network congestion has a negative impact on the performance of on-chip networks due to the increased packet latency. Many congestion-aware routing algorithms have been developed to alleviate traffic congestion over the network. In this paper, we propose a congestion-aware routing algorithm based on the Q-learning approach for avoiding congested areas in the network. By using the learning method, local and global congestion information of the network is provided for each switch. This information can be dynamically updated, when a switch receives a packet. However, Q-learning approach suffers from high area overhead in NoCs due to the need for a large routing table in each switch. In order to reduce the area overhead, we also present a clustering approach that decreases the number of routing tables by the factor of 4. Results show that the proposed approach achieves a significant performance improvement over the traditional Q-learning, C-routing, DBAR and Dynamic XY algorithms.     

Active fault‐tolerant consensus control of Lipschitz nonlinear multiagent systems

This article investigates the active fault‐tolerant consensus problem for Lipschitz nonlinear multiagent systems under detailed balanced directed graph and actuator faults. First, a fault detection filter for each agent is designed, and all agents can be divided into two categories: healthy agents and possibly faulty agents. Second, fully distributed adaptive fault‐tolerant consensus protocols for healthy and possibly faulty agents are proposed to achieve state consensus. Third, based on the fault detection method and fault‐tolerant consensus protocols, active fault‐tolerant consensus algorithms are given. Simulation examples are presented to verify the effectiveness of the proposed active fault‐tolerant algorithms.     

Periodically regular chordal rings

Chordal rings have been proposed in the past as networks that combine the simple routing framework of rings with the lower diameter, wider bisection, and higher resilience of other architectures. Virtually all proposed chordal ring networks are node-symmetric, i.e., all nodes have the same in/out degree and interconnection pattern. Unfortunately, such regular chordal rings are not scalable. In this paper, periodically regular chordal (PRC) ring networks are proposed as a compromise for combining low node degree with small diameter. By varying the PRC ring parameters, one can obtain architectures with significantly different characteristics (e.g., from linear to logarithmic diameter), while maintaining an elegant framework for computation and communication. In particular, a very simple and efficient routing algorithm works for the entire spectrum of PRC rings thus obtained. This flexibility has important implications for key system attributes such as architectural satiability, software portability, and fault tolerance. Our discussion is centered on unidirectional PRC rings with in/out-degree of 2. We explore the basic structure, topological properties, optimization of parameters, VLSI layout, and scalability of such networks, develop packet and wormhole routing algorithms for them, and briefly compare them to competing fixed-degree architectures such as symmetric chordal rings, meshes, tori, and cube-connected cycles