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distributed Sketch deployment for Software Switches

IEEE TRANSACTIONS ON COMPUTERS 2025年第4期74卷 1210-1223页

作者： Guo, Kejun Li, Fuliang Shen, Jiaxing Wang, Xingwei Cao, Jiannong Northeastern Univ Sch Comp Sci & Engn Shenyang 110169 Peoples R China Lingnan Univ Dept Comp & Decis Sci Hong Kong 999077 Peoples R China Hong Kong Polytech Univ Sch Dept Comp Hong Kong 999077 Peoples R China

Network measurement is critical for various network applications, but scaling measurement techniques to the network-wide level is challenging for existing sketch-based solutions. In software switches, centralized deployment provides low resource usage but suffers from poor load balancing. In contrast, collaborative measurement achieves load balancing through flow distribution across software switches but requires high resource usage. This paper presents a novel distributed deployment framework that overcomes the limitations above. First, our framework is lightweight such that it splits sketches into segments and allocates them across forwarding paths to minimize resource usage and achieve load balancing. This also enables per-packet load balancing by distributing computations across software switches. Second, through a novel collaborative strategy, our framework achieves finer-grained flow distribution and further optimizes load balancing. Third, we further optimize load balancing by eliminating the mutual influence among forwarding paths. We evaluate the proposed framework on various network topologies and different sketches. Results indicate our solution matches the load balancing of collaborative measurement while approaching the low resource usage of centralized deployment. Moreover, it achieves superior performance in per-packet load balancing, which is not considered in previous deployment solutions.

关键词： Load management Collaboration Network topology Computers Software measurement Software Load modeling Topology Registers Hash functions Software switches sketch network measurement distributed deployment load balancing

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Effective Network-Wide Traffic Measurement: A Lightweight distributed Sketch deployment

Effective Network-Wide Traffic Measurement: A Lightweight Di...

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IEEE Conference on Computer Communications (IEEE INFOCOM)

作者： Li, Fuliang Guo, Kejun Shen, Jiaxing Wang, Xingwei Northeastern Univ Shenyang 110819 Peoples R China Lingnan Univ Hong Kong Peoples R China

ISBN: (纸本)9798350383515;9798350383508

Network measurement is critical for various network applications, but scaling measurement techniques to the network-wide level is challenging for existing sketch-based solutions. Centralized sketch deployment provides low resource usage but suffers from poor load balancing. In contrast, collaborative measurement achieves load balancing through flow distribution across switches but requires high resource usage. This paper presents a novel lightweight distributed deployment framework that overcomes the limitations above. First, our framework is lightweight such that it splits sketches into segments and allocates them across forwarding paths to minimize resource usage and achieve load balancing. This also enables per-packet load balancing by distributing computations across switches. Second, our framework is also optimized for load balancing by coordinating between flows and enabling finer-grained flow distribution. We evaluate the proposed framework on various network topologies and different sketch deployments. Results indicate our solution matches the load balancing of collaborative measurement while approaching the low resource usage of centralized deployment. Moreover, it achieves superior performance in per-packet load balancing, which is not considered in previous deployment policies. Our work provides efficient distributed sketch deployment to strike a balance between load balancing and resource usage enabling effective network-wide measurement.

关键词： Sketch network measurement distributed deployment load balancing

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A distributed deployment algorithm for communication coverage in wireless robotic networks

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JOURNAL OF NETWORK AND COMPUTER APPLICATIONS 2021年 180卷 103019-103019页

作者： Liu, Xiaojie Wang, Xingwei Jia, Jie Huang, Min Northeastern Univ Coll Comp Sci & Engn Shenyang 110169 Peoples R China Univ Rome Coll Comp Sci & Technol I-00159 Rome Italy Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China

Wireless Robotic Networks (WRNs), composed of numerous mobile robotic agents with the ability of moving, computing, sensing, and communicating, are able to provide wireless communication services and thus implement complicated tasks for user equipments. In order to guarantee the performance of coverage rate and ensure providing the services timely and effectively, mobile robotics in WRNs are usually deployed flexibly and quickly. However, coverage overlaps and energy redundancy may be generated by excessive deployed agents. In order to provide maximum coverage area with a minimum number of agents, we study the 3-dimensional coverage deployment problem in WRNs and propose a distributed deployment algorithm. Firstly, we give the scenario model, communication model, and coverage model to define the 3-dimensional coverage problem. Secondly, we propose a distributed coverage deployment algorithm that can set redundant agents to idle mode iteratively. Herein, we decouple the coverage deployment problem in the altitude and horizontal dimensions without any loss of optimality. On the one hand, this algorithm can find the optimal altitude for agents mathematically. On the other hand, this algorithm contains a local deployment algorithm based on Particle Swarm Optimization (PSO) which is used for a particular active agent to find a better position with a larger local coverage area. In particular, the local coverage area is obtained depending on the Voronoi Diagram (VD). Our proposed algorithm is distributed which only requires local information. Finally, performance evaluation are given in three aspects, which demonstrate the effectiveness of the proposed distributed deployment algorithm.

关键词： Wireless robotic networks Communication coverage distributed deployment Particle swarm optimization Voronoi diagram

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Controller Elastic Managing Strategy Based on distributed deployment in SDN 3

Controller Elastic Managing Strategy Based on Distributed De...

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3rd IEEE International Conference on Computer and Communications (ICCC)

作者： Zhao, Wei Zhang, Jianhui Hu, Tao Qiao, Dan Natl Digital Switching Syst Engn & Technol Res Ct Zhengzhou Henan Peoples R China China Satellite Maritime Tracking & Control Dept Jiangyin Peoples R China

ISBN: (纸本)9781509063529

In order to address the problem of unreasonable network dividing and unbalanced controller deploying in software defined networking (SDN), this paper proposes a controller elastic managing strategy (CEMS) based on distributed deployment in SDN. CEMS includes two phases: subdomain planning and controller optimizing. In phase 1, the nodes are clustered according to the attraction degree and attribution degree, and we could achieve the reasonable network partitioning and the selection of controller location. In phase 2, through the weighted summation of delay, failure degree and communication overhead, the nonlinear iteration is performed for the corresponding weights, then we optimize network overheads and the number of controllers in subdomains. Simulation shows that, compared with the existing schemes, this strategy could balance the network partitioning;reduce the delay and compress the backup space of controller.

关键词： software defined networking controller distributed deployment elastic managing

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Coverage and Rate Analysis for distributed RISs-Assisted mmWave Communications

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2024年第10期23卷 15070-15082页

作者： Xu, Yuan Huang, Chongwen Wei, Li Zhu, Yongxu Yang, Zhaohui He, Jiguang Yang, Jun Zhang, Zhaoyang Yuen, Chau Debbah, Merouane Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China Zhejiang Prov Key Lab Informat Proc Commun & Netw Hangzhou 310027 Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Southeast Univ Natl Commun Res Lab Nanjing 210096 Peoples R China Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China Technol Innovat Inst Abu Dhabi U Arab Emirates State Key Lab Mobile Network & Mobile Multimedia Shenzhen 518055 Peoples R China ZTE Corp Wireless Prod Res & Dev Inst Shenzhen 518057 Peoples R China Khalifa Univ Dept Elect Engn & Comp Sci Abu Dhabi U Arab Emirates Khalifa Univ KU Ctr 6G Abu Dhabi U Arab Emirates

The millimeter wave (mmWave) has received considerable interest due to its expansive bandwidth and high frequency. However, a noteworthy challenge arises from its vulnerability to blockages, leading to reduced coverage and achievable rate. To address these limitations, a potential solution is to deploy distributed reconfigurable intelligent surfaces (RISs), which comprise many low-cost and passively reflected elements, and can facilitate the establishment of extra communication links. In this paper, we leverage stochastic geometry to investigate the ergodic coverage probability and the achievable rate in both distributed RISs-assisted single-cell and multi-cell mmWave wireless communication systems. Specifically, we first establish the system model considering the stochastically distributed blockages, RISs and users by the Poisson point process. Then we give the association criterion and derive the association probabilities, the distance distributions, and the conditional coverage probabilities, for two cases of associations between base stations and users without or with RISs. Finally, we use Campbell's theorem and the total probability theorem to obtain the closed-form expressions of the ergodic coverage probability and the achievable rate. Simulation results verify the effectiveness of our analysis method, and demonstrate that by deploying distributed RISs, the ergodic coverage probability is significantly improved by approximately 50%, and the achievable rate is increased by more than 1.5 times.

关键词： reconfigurable intelligent surface distributed deployment distributed deployment distributed deployment Stochastic geometry Stochastic geometry Stochastic geometry Stochastic geometry Stochastic geometry ergodic coverage probability ergodic coverage probability achievable rate achievable rate ergodic coverage probability achievable rate

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Two distributed IRSs-Assisted Ambient Backscatter Communication System

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IEEE COMMUNICATIONS LETTERS 2023年第12期27卷 3409-3413页

作者： Zheng, Rui Du, Fei Wang, Xiaoqing Geng, Suiyan Zhao, Xiongwen North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewable Beijing 102206 Peoples R China

This letter investigates a novel ambient backscatter communication (AmBC) system assisted by two distributed intelligent reflecting surfaces (IRSs). Double signal reflections between the tag and IRSs and the signal interaction between distributed IRSs are considered in the system. To maximize the achievable rate and solve the phase shift coupling challenge introduced by distributed IRSs, subject to the power constraint of the tag and unit-modulus constraints of IRSs, a joint optimization algorithm is proposed, which alternatively optimizes the decoupled subproblems. Simulation results showcase the superiority of the proposed distributed IRSs deployment over benchmarks.

关键词： Ambient backscatter communication intelligent reflecting surface distributed deployment

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Stochastic Geometry Analysis for distributed RISs-Assisted mmWave Communications 99

Stochastic Geometry Analysis for Distributed RISs-Assisted m...

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IEEE 99th Vehicular Technology Conference (VTC-Spring)

作者： Xu, Yuan Li, Wei Huang, Chongwen Zhu, Yongxu Yang, Zhaohui Yang, Jun He, Jiguang Zhang, Zhaoyang Debbah, Merouane Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Southeast Univ Natl Commun Res Lab Nanjing 210096 Peoples R China ZTE Corp Wireless Prod R&D Inst Shenzhen 518057 Peoples R China Technol Innovat Inst Abu Dhabi 9639 U Arab Emirates Khalifa Univ Sci & Technol KU 6G Res Ctr POB 127788 Abu Dhabi U Arab Emirates Univ Paris Saclay Cent Supelec F-91192 Gif Sur Yvette France

ISBN: (纸本)9798350387414

Millimeter wave (mmWave) has attracted considerable attention due to its wide bandwidth and high frequency. However, it is highly susceptible to blockages, resulting in significant degradation of the coverage and the sum rate. A promising approach is deploying distributed reconfigurable intelligent surfaces (RISs), which can establish extra communication links. In this paper, we investigate the impact of distributed RISs on the coverage probability and the sum rate in mmWave wireless communication systems. Specifically, we first introduce the system model, which includes the blockage, the RIS and the user distribution models, leveraging the Poisson point process. Then, we define the association criterion and derive the conditional coverage probabilities for the two cases of direct association and reflective association through RISs. Finally, we combine the two cases using Campbell's theorem and the total probability theorem to obtain the closed-form expressions for the ergodic coverage probability and the sum rate. Simulation results validate the effectiveness of the proposed analytical approach, demonstrating that the deployment of distributed RISs significantly improves the ergodic coverage probability by 45.4% and the sum rate by over 1.5 times.

关键词： Stochastic geometry reconfigurable intelligent surface distributed deployment ergodic coverage probability sum rate

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Enhancing Architecture-level Security of SoC Designs via the distributed Security IPs deployment Methodology

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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2020年第2期36卷 387-421页

作者： Huang, Zhao Wang, Quan Xidian Univ Sch Comp Sci & Technol Xian 710071 Peoples R China

The vulnerability of modern System-on-Chip (SoC) eco-industrial chain model has incurred a variety of rogue entities, such as hardware Trojans, participating in all stages of current SoC design-fabrication processes, resulting in serious security risks. To effectively address the security issues, design-for-security (DfS) technology, e.g., incorporating dedicated on-chip security assurance to facilitate the verification, test, and validation of SoCs, has become the essential strategies in design-time considerations. However, existing DfS measures are targeted at intellectual property (IP) core-level security threats and require specific design modifications to eliminate the dependencies of IP types. In particular, the heterogeneous characteristics of current SoCs and functional diversity of IP types make many IP core-level DfS solutions difficult to adapt or scale to the system level. Moreover, current DfS mechanisms act only at certain stages and thus fail to provide process-wide defense. In this paper, we propose a novel, robust security architecture (MSIPS) to enhance the security of SoCs during the test time and runtime. Unlike existing solutions for the IP core-level problems, our MSIPS also considers the architecture-level security threats and exploits a distributed security IPs deployment strategy to ensure trusted SoC operations with untrusted IPs. In particular, we realize fine-grained IP-protection aware security policies in MSIPS to defend against: (1) hardware Trojan attacks with multi-parameters side-channel analysis primitive;(2) SoC or hardware IP thefts with physically unclonable function (PUF) primitive;and (3) abnormal behavior monitoring and verification with anomaly security auditing primitive. We have implemented this framework on an FPGA platform. Experimental results demonstrate the effectiveness of the proposed approach for providing system protection against diverse attacks. As centralized low-overhead on-chip modules, security IPs reside ou

关键词： system-on-chip design-for-security security IPs distributed deployment hardware trojan detection IP theft defense anomaly monitoring

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In-Forest: distributed In-Network Classification with Ensemble Models 31

In-Forest: Distributed In-Network Classification with Ensemb...

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31st IEEE International Conference on Network Protocols (ICNP)

作者： Lin, Jiaye Li, Qing Xie, Guorui Jiang, Yong Yuan, Zhenhui Jiang, Changlin Yang, Yuan Tsinghua Univ Int Grad Sch Shenzhen Peoples R China Peng Cheng Lab Shenzhen Peoples R China Northumbria Univ Dept Comp & Informat Sci Newcastle Upon Tyne England Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9798350303223

A variety of model representation methods have been used in recent works to translate machine learning models into programmable switch rules to address network classification tasks at line-speed, i.e., in-network classification. These works generally deploy a complete but heavy model on a switch with limited hardware resources, causing both network-wide waste of resources and unsatisfactory accuracy. Therefore, we propose In Forest, a general distributed in-network classification framework. Firstly, to improve accuracy with limited resources, we develop a Lightweight Ensemble Generic Optional Model (LEGO), which can be further enhanced into multiple enhanced base models with full functionality. Each switch only needs to deploy a simple base model, rather than the complete ensemble model. Thus, hardware resources required for both switches and the entire network can be significantly reduced. Secondly, as traffic traverses multiple switches, In-Forest aggregates the classification results from different enhanced base models for higher accuracy. Furthermore, we design a two-phase resource-aware model allocation strategy that assigns enhanced base models to switches under different scenarios. We use stable deep reinforcement learning to respond to dynamic traffic changes. Experimental results show that when compared to SwitchTree, Planter, and Netbeacon in two real network topologies, In-Forest can increase accuracy by up to 19.31%, while reducing the number of switch rules by 89.98%.

关键词： distributed deployment in-network classification programmable data plane deep reinforcement learning

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AI-KM: A distributed multi-view and intelligent knowledge management software

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SOFTWAREX 2024年 27卷

作者： Wen, Haolin Wang, Songyi Jiang, Chaoyu Zhang, Fan Li, Jing Luo, Xing Naval Univ Engn Dept Management Engn & Equipment Econ Wuhan Peoples R China Southern Univ Sci & Technol Dept Stat & Data Sci Shenzhen Peoples R China Peng Cheng Lab Shenzhen Guangdong Peoples R China

To enhances the security, usability, and intelligence of knowledge management software, this paper develops a novel knowledge management application built upon the Electron cross-platform desktop development framework, Vue JavaScript Framework, and large language models. The software boasts distributed deployment, multi-view information management, and intelligent interaction capabilities. Through distributed deployment, it diversifies the sharing format of information within organizations, effectively addressing conflicts between data security and sharing. The multi-view functionality improves the effectiveness of knowledge presentation, while the large language model facilitates intelligent and natural knowledge querying and application. Finally, illustrative examples from diverse domains such as project management, education, and military applications are utilized to demonstrate the practical utility of the software. Users can significantly enhance the integration and intelligence of knowledge management through this software.

关键词： Knowledge management Multi-view distributed deployment Intelligent

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