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检索条件"主题词=Multicast Algorithms"

共 2122 条记录，以下是131-140 订阅

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A Dynamic multicast Tree Selection Algorithm in LEO Satellite Networks

A Dynamic Multicast Tree Selection Algorithm in LEO Satellit...

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GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Ke-Jun Zheng Jang-Ping Sheu Dept. of Information Systems and Applications National Tsing Hua University Hsinchu Taiwan Dept. of Computer Science National Tsing Hua University Hsinchu Taiwan

ISBN: (纸本)9781665435413

Satellite networks are a promising way to provide ubiquitous access to network service. However, due to the mobility of satellites, the traditional routing scheme cannot be adapted to the constellation directly. This paper studies the challenge of multicast routing on satellite networks. The mobility of satellites makes the serving satellites of ground users change with time. When performing a multicast on the constellation, the changing of serving satellites leads to many link handover control messages. To minimize the control message overhead is NP-hard. Therefore, a dynamic programming-based algorithm called Dynamic multicast Tree Selection (DMTS) is proposed to find the sub-optimal result with polynomial time complexity. Besides, we proposed a tree generation algorithm called LMBBSP with DMTS to avoid link congestion in unbalanced network load. The simulation results show that our proposed schemes outperform the baselines with link handover and request rejection rate.

关键词： Satellites multicast algorithms Heuristic algorithms Simulation Low earth orbit satellites Handover Routing

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Energy Efficient Ad-hoc Network with multicast Tree Topology for Wireless Sensor Applications

Energy Efficient Ad-hoc Network with Multicast Tree Topology...

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Mobile Networks and Wireless Communications (ICMNWC), IEEE International Conference on

作者： Prudhvi Kondapalli Vamsi Krishna Gita Alekhya Paul Mettina Varghese Department of Electronics and Communications SRM Institute of Science and Technology Chennai India

ISBN: (纸本)9781665491129

A severe existential danger to agriculture is being posed by extreme weather patterns and falling forests, which require an evolution of current agricultural systems. Traditional agriculture can become smart agriculture with the aid of the Internet of Things. Sensor-based monitoring systems for agriculture can benefit farmers in the long run. A network of physical things called the “Internet of Things” uses networking and sensors to enhance data collecting and exchange. IoT networks, which are less expensive and use less energy, can be distributed over a large population region. We propose an energy-efficient, low-cost wireless network for smart agriculture in this article. Our paper aims to develop a new hybrid topology that is both stable and scalable; additionally, nodes will self-conFigure to form the topology without the need for manual interference. In order to connect to the Internet, we used NodeMCU, a system-on-chip (SOC) that combines a Tensilica L106 32-bit micro controller unit with a Wi-Fi transceiver. By implementing UPnP for our NodeMCUs linked with a tree topology Wi-Fi mesh, we were able to build a multicast tree algorithm. These NodeMCUs will self-discover via SSDP (Simple Service Discovery Protocol), sending a NOTIFY request to the multicast IP on the link, and the master node will determine the position. The mechanism underlying automatic topology forming and node configuration is explored in depth in this paper. This algorithm and topology enables energy efficient and easy to implement sensor networks, which can help in better collection of data, in turn help farmers take informed decisions.

关键词： Smart agriculture Wireless sensor networks Protocols multicast algorithms Power demand Network topology Ad hoc networks

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Neural Network-Based Flow Control for ABR Services in ATM Networks

Neural Network-Based Flow Control for ABR Services in ATM Ne...

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International Conference on Digital Data Processing (DDP)

作者： Vijayanand Selvaraj Information Technology Professional Houston Texas USA

ISBN: (数字)9798331515706

ISBN: (纸本)9798331515713

The aim of Neural Network Flow control for ABR (Available Bit Rate) services in Asynchronous Transfer Mode (ATM) Networks is to develop an efficient rate control mechanism to address the real-time transport (RTT) variation of RM-Cell caused by the dynamic drift of the bottleneck in a multicast tree. By optimizing rate control, we seek to mitigate the impact of RTT variations on network performance. Additionally, our focus includes enhancing buffer occupancy to improve throughput. This involves implementing a rate control system based on neural networks (NN), leveraging their adaptive capabilities to adjust transmission rates in response to network conditions dynamically. Through this project, we aim to achieve more stable and reliable data transmission within multicast tree networks, ultimately enhancing overall network efficiency and performance. The potential impact of this research is significant, inspiring further exploration and development in the field.

关键词： multicast algorithms Flow production systems Simulation Bit rate Process control Throughput Real-time systems Reliability Asynchronous transfer mode Digital information

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A Window-Based Heuristic TSN Scheduling Algorithm Using Array Theory Encoding

A Window-Based Heuristic TSN Scheduling Algorithm Using Arra...

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Electronic Information Engineering and Computer Science (EIECS), 2021 International Conference on

作者： Zhaochuan Sang Yinshan Wang Hongchao Zhang School of Automobile and Transportation Tianjin University of Technology and Education Tianjin China

ISBN: (数字)9798331531409

ISBN: (纸本)9798331531416

The Time Sensitive Network (TSN) based on Ethernet extends standard Ethernet into a deterministic network with real-time functionality through a series of sub standards. This paper designs a mathematical model using array theory, which transforms the gate control mechanism into an array of window opening and closing events while retaining the original model, making it applicable to the general situation of TSN networks (multiple frames per stream, multicast streams). In addition, based on the preprocessing algorithm proposed in this paper for synthesizing link sequences, a multi-objective heuristic optimization offline scheduling algorithm based on SMT was designed to schedule each link with the shortest GCL length and the smallest number of occupied queues. This algorithm has the ability to solve in polynomial time and reserves more time and space resources for the network. The performance evaluation using the Z3 solver shows that the optimized algorithm has significantly improved performance compared to the original algorithm.

关键词： Performance evaluation Schedules multicast algorithms Scheduling algorithms Ethernet Transforms Mathematical models Scheduling Real-time systems Standards

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HMAC Security Implementation in IEC 61850 Sampled Values for Power System Infraestructure

HMAC Security Implementation in IEC 61850 Sampled Values for...

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IEEE International Conference on Automatica (ICA-ACCA)

作者： Tomás Castillo Claudio Valencia-Cordero Héctor Chávez C-SES Center for Sustainable Energy Systems Universidad de Santiago de Chile Santiago Chile Universidad de Santiago de Chile Santiago Chile

ISBN: (数字)9798350378115

ISBN: (纸本)9798350378122

This work implements a Hash Message Authentication Code (HMAC) to secure Sampled Values (SV) in the IEC 61850 protocol, addressing cyber-attack vulnerabilities in digital substations. Using Python’s Scapy, algorithms were developed to inject and capture multicast SV traffic. HMAC with SHA- 256 effectively protected against data tampering, allowing only authorized devices to authenticate messages. Experimental results confirmed real-time attack detection and mitigation. This research enhances SV message security in line with IEC 62351 guidelines.

关键词： Substations Protocols multicast algorithms Prevention and mitigation Real-time systems Security IEC Standards Message authentication Cyberattack Guidelines

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The Self-adaptive and Topology-aware MPI_Bcast leveraging Collective offload on Tianhe Express Interconnect

The Self-adaptive and Topology-aware MPI_Bcast leveraging Co...

引用

International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Chongshan Liang Yi Dai Jun Xia Jinbo Xu Jintao Peng Weixia Xu Ming Xie Jie Liu Zhiquan Lai Sheng Ma Qi Zhu Department of Computer Science National University of Defense Technology Changsha China Nanhu Lab. Jiaxing China

ISBN: (数字)9798350387117

ISBN: (纸本)9798350387124

Large parallel applications have heavily used MPI (Massage Passing Interface) collectives that support portable and efficient group communication operations. MPI_Bcast is one of the most commonly used MPI collectives that broadcast data to all processes of the communication domain. However, traditional software-based broadcast algorithms fail to fully utilize modern interconnection networks’ advanced features such as offloading collectives to the network hardware for efficient group communications. Besides, the semantic gap between MPI_Bcast and hardware multicast of underlying interconnects presents challenges for offload-based algorithms to accelerate MPI_Bcast for a wide range of message *** this paper, we propose a hardware-software co-design MPI_Bcast by efficiently leveraging the NIC-based collective offload provided by Tianhe-express interconnect, which completely precludes the involvement of CPU to accelerate message broadcast. We detail this broadcast mechanism that can be adaptively tuned to offload MPI_Bcast operations from the CPU to the NIC for various message and system sizes. In addition, we further propose a topology-aware broadcast design in conjunction with this offload method to significantly reduce the broadcast latency by constructing the optimal global inter-node communication tree. We implement and evaluate the proposed Tianhe-Express Offload-based Broadcast (TOB) design on Tianhe-2A and Tianhe-EP supercomputers. Extensive experiments have been conducted to evaluate TOB performance at both microbenchmark and application levels. Our solution offers up to 4.94x significant performance speedup at the microbenchmark level over state-of-the-art MPI libraries. For the application-level evaluation, our technique accelerates scientific applications by a maximum speedup of 1.34x.

关键词： Distributed processing multicast algorithms Semantics Switches Reliability engineering Data transfer Hardware

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Optimal multicast Scheduling for Switched Beamforming Systems Leveraging Reflections

Optimal Multicast Scheduling for Switched Beamforming System...

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IEEE Conference on Vehicular Technology (VTC)

作者： Chao Chen Ziye Li Seung Jun Baek Rui Yin Xiaohan Yu Chuanhuang Li School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou China College of Information and Communications Korea University Seoul Korea School of Information and Electrical Engineering Zhejiang University City College Hangzhou China

ISBN: (纸本)9781665454698

We consider the minimum-delay multicast scheduling problem for switched beamforming systems. A salient characteristic of mmWave links, reflection, is considered, which enables opportunistic reduction of data dissemination delay. We formulate the problem as a mixed integer nonlinear programming, which is difficult to solve directly. Instead, we decompose the problem into a set of subproblems, by allocating a fixed path to each receiver for data reception. The optimal solution to each subproblem has a contiguous structure, and hence can be computed using a dynamic programming-based approach. We propose an optimal algorithm for the original problem based on the solutions to the subproblems. By simulation we show the outperformance of our algorithm over an optimal multicast scheduling policy without leveraging reflections and a broadcast baseline scheme.

关键词： Vehicular and wireless technologies multicast algorithms Processor scheduling Array signal processing Heuristic algorithms Switches Reflection

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Dynamic Resource Allocation for All-Optical multicast in Space Division Multiplexed Elastic Optical Networks

Dynamic Resource Allocation for All-Optical Multicast in Spa...

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IEEE International Conference on Electronics and Communication Engineering (ICECE)

作者： Qiang Sun Yue Zhao Xin Yang Weiqi Li School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9781665487900

In recent years, the rapid growth of network traffic and the emergence of new Internet applications have required optical networks to continuously improve their capacity and flexible transmission capability. Spatial division multiplexed elastic optical networks (SDM-EONs) have become the most promising core architectures for future optical networks with their fine granularity, high capacity, and high transmission rate. In the paper, we study the routing, modulation level, spectrum, and core allocation (MC-RMSCA) problem for multicast services in SDM-EONs, building a network model using all-optical multicast in SDM-EONs, and then propose two heuristic algorithms for the problem to solve MC-RMSCA in dynamic scenarios. Simulation results show that, compared with the shortest-path-tree-based routing, modulation level spectrum, and core allocation (SPT-RMSCA) algorithm, the subtree-assisted routing, modulation level spectrum, and core allocation (STA-RMSCA) algorithm performs better in terms of blocking probability and spectrum utilization.

关键词： Multiplexing multicast algorithms Heuristic algorithms Simulation Modulation Telecommunication traffic Optical fiber networks

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Learning to Beamform in Multi -Group multicast with Imperfect CSI

Learning to Beamform in Multi -Group Multicast with Imperfec...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Zhe Zhang Meixia Tao Ya-Feng Liu Dept. of Electronic Engineering Shanghai Jiao Tong University Shanghai China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665450867

Consider the max-min fair multi-group multicast beamforming problem in wireless networks, where the users with the same request are partitioned into a multicast group and served by the same beam from a multi-antenna base station (BS). The problem is non-convex and generally NP-hard. Due the channel estimation error, the perfect channel state information (CSI) is usually unavailable. The existing optimization-based methods either need the statistic information of estimation error or a time-consuming sample average approximation. In this paper, we propose a graph neural network (GNN) based structure, called multi-group multicast GNN (MMGNN), to learn an efficient robust multicast beamforming strategy based on the estimated channel without any statistic information. Benefiting from the wireless topology based network structure, MMGNN not only captures the interactions between users naturally but also can model the vital property of multicast transmission that the multicast rate is determined by the worst user in each multicast group. Moreover, by sharing the parameters across different users, MMGNN exhibits a pretty good scalability to different numbers of users and guarantees the permutation equivalence about the users. Numerical results show that MMGNN outper-forms a fully connected neural network and a widely used sample approximation based algorithm.

关键词： Estimation error multicast algorithms Array signal processing Network topology Scalability Wireless networks Channel estimation

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Optimization of One-to-Many Communication Primitives for Dragonfly Topologies

Optimization of One-to-Many Communication Primitives for Dra...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： José Duro Adrián Castelló María E. Gómez Julio Sahuquillo Enrique Quintana Departamento de Informática de Sistemas y Computadores Universitat Politècnica de València

ISBN: (数字)9798331515966

ISBN: (纸本)9798331515973

Collective communication primitives (CCPs), such as multicast and broadcast, are essential for many parallel and distributed applications. In response, this study compares a topology-oblivious algorithm underlying the implementation of CCPs in standard instances of MPI with two topology-aware implementations, based on the LLF and GLF algorithms, and an ideal hardware-assisted approach. By using real scientific applications, instead of synthetic traffic, our study reveals workload-dependent performance variations among CCP implementations; and highlights the importance of CCP algorithm selection in optimizing application performance in supercomputing environments.

关键词： multicast algorithms Costs Binary trees Network architecture Hardware Topology Optimization Standards

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