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检索条件"丛书名=Computer Communications and Networks"

共 4934 条记录，以下是91-100 订阅

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Hybrid Quantum-Classical Computing via Dantzig-Wolfe Decomposition for Integer Linear Programming 33

Hybrid Quantum-Classical Computing via Dantzig-Wolfe Decompo...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Wei, Xinliang Liu, Jiyao Fan, Lei Guo, Yuanxiong Han, Zhu Wang, Yu Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA Univ Houston Dept Engn Technol Houston TX USA Univ Houston Dept Elect & Comp Engn Houston TX USA Univ Texas San Antonio Dept Informat Syst & Cyber Secur San Antonio TX USA

ISBN: (纸本)9798350348439;9798350384611

Numerous optimization scenarios such as industrial production planning, network communication routing, and logistic scheduling can be modeled as large-scale integer linear programming problems. However, due to the NP-Hardness of these problems, it is very challenging to optimally solve these problems in a short time on classical computers. Quantum computers have emerged as a new computing platform to provide new computing paradigms to tackle these problems. However, the scalability and efficiency of current quantum computers pose significant challenges in practical implementations of quantum optimization algorithms. In this paper, we propose a novel hybrid quantum-classical approach, termed Hybrid quantum-classical Dantzig-Wolfe Decomposition (HyDWD), aimed at solving these problems. In this framework, the subproblems can be solved in parallel on quantum computers. Our results demonstrate the benefits of integrating parallel quantum computing with the proposed hybrid quantum-classical framework via Dantzig-Wolfe decomposition, paving the way for advancements in optimization and decision-making processes.

关键词： Quantum computing Dantzig-Wolfe decomposition hybrid quantum-classical method integer linear programming quantum network

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SHPAC: Fine-grained and Multi-platform Supported Access Control System for Smart Home Scenario 33

SHPAC: Fine-grained and Multi-platform Supported Access Cont...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Yang, Yiyu Zhang, Yuqing Univ Chinese Acad Sci Natl Comp Network Intrus Protect Ctr Sch Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9798350348439;9798350384611

In the scenario of multi-user access in smart homes, the platform's access control mechanism is crucial in ensuring that users can legitimately and appropriately access devices. However, we have found that the permission management mechanisms provided by smart home platforms and the solutions proposed in academic research are insufficient to fully meet the new requirements of access control. This can result in issues such as unauthorized access, inability to coordinate access conflicts, and lack of support for black-box platforms. In this paper, we present SHPAC, a new smart home access control scheme based on Policy-Based Access Control. This scheme not only provides fine-grained permission management, but also supports users in submitting their personalized access preferences, as well as automatic conflict resolution and multi-platform support. We also implemented a prototype system and evaluated the system from the perspectives of black-box platform support, access control performance, and policy management effectiveness. The results show that our design can address the shortcomings of existing solutions, enhancing the flexibility and effectiveness of smart home access control.

关键词： Smart Home Access Control fine-grained multi-platform

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A Cost-Effective Long-Distance Industrial IoT System 33

A Cost-Effective Long-Distance Industrial IoT System

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Wang, Guoping Purdue Univ Ft Wayne Dept Elect & Comp Engn 2101 E Coliseum Blvd Ft Wayne IN 46805 USA

ISBN: (纸本)9798350348439;9798350384611

The Internet of Things (IoT) refers to a network of physical devices embedded with sensors, actuators, software, and other technologies that can connect and exchange data with other devices via the Internet. These devices range from everyday household items to advanced industrial tools. This paper outlines a cost-effective, long-range Industrial IoT system. This system adopts licensed RF transceivers, wireless sensor nodes, a receiver, a Raspberry Pi MQTT/SparkPlug B client, and an Ignition SCADA system. This proposed IIoT system provides a good option where LoRa technology may not be a viable solution due to its constraints.

关键词： IIoT Long-Range Remote Sensing

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Lightweight Coordinated Sampling for Dynamic Flows under Budget Constraints 33

Lightweight Coordinated Sampling for Dynamic Flows under Bud...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Chen, Mingming La Porta, Thomas Jaeger, Trent Krishnamurthy, Srikanth Penn State Univ Comp Sci & Engn Dept University Pk PA 16802 USA Univ Calif Riverside Comp Sci & Engn Dept Riverside CA 92521 USA

ISBN: (纸本)9798350348439;9798350384611

As cyber-attacks on networks become more stealthy, monitoring techniques relying on low-rate packet sampling may prove insufficient to detect attacks. While various sampling methods have been proposed to address capacity limitations and enhance detection rates, achieving sampling at line speed at a single point remains challenging due to limited CPU or bandwidth capacity at sampling points. In this paper, we propose harnessing coordinating sampling across switches to create a unified system that can dynamically activate sampling points to meet sampling rate needs. We introduce and implement a coordinated sampling algorithm on multiple P4-programmable switches and show that the algorithm ensures coordination among multiple sampling points for each flow, preventing duplicate samples, with negligible network overhead and real-time configurability. We formulate sampling point placement as budgeted maximum multi-coverage problems, solving them optimally in pseudo-polynomial time. We show our system far outperforms those based on greedy algorithms along many key dimensions.

关键词： P4-programmable switch coordinated sampling budgeted maximum multi-coverage balanced matrix

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Efficient URL and URI Compression 33

Efficient URL and URI Compression

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Savins, Felix Saric, Kevin Ramachandran, Gowri Sankar Jurdak, Raja Queensland Univ Technol Sch Comp Sci Brisbane Qld Australia

ISBN: (纸本)9798350348439;9798350384611

Web applications use Universal Resource Identifiers (URIs), interchangeably referred to as Uniform Resource Locators (URLs), to locate resources such as files and web pages on the Internet. Messaging services, firewalls, content distribution frameworks, event logs, databases and datasets store countless URIs. Due to the proliferation of the Internet, the number of URIs has increased rapidly, demanding significant storage. Several compression schemes are present in the literature for efficiently storing files on hard disks. However, existing compression schemes are designed for generic content, resulting in sub-optimal storage efficiency for standalone URIs. This paper presents a compression scheme specifically designed for URIs. Our contribution is three-fold: a) an empirical analysis of existing compression schemes for storing URIs, b) a design for a novel URI-focused compression scheme that improves on existing schemes and c) an adaptation of the well-known Huffman coding scheme to URIs using Natural Language Processing (NLP) to create a custom compression dictionary. Evaluation results using five million standalone URI strings show that our novel compression scheme improves storage efficiency by 18%. Furthermore, our customized Huffman coding compression scheme outperforms the standard content-agnostic Huffman technique. Our compression scheme reduces the storage space of a single instance of all URIs in existence - estimated to be more than 130 trillion - by more than 1.2 petabytes (PB) compared to the standard Huffman coding technique. Considering only unique instances of URIs, this bare minimum of 1.2 PB of hard disk savings worth approximately USD$24,000 can be saved, however, in practice, many orders of magnitude more may be possible.

关键词： Algorithm Analysis Networking Storage Optimization URI Compression URL Compression

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Mitigating Cross-Technology Interference in Low-Power Wireless networks 33

Mitigating Cross-Technology Interference in Low-Power Wirele...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Dargie, Waltenegus Kidane, Zegeye Mekasha Tech Univ Dresden Inst Syst Architecture Fac Comp Sci Dresden Germany Max Planck Inst Radio Astron D-53902 Effelsberg Bad Muenstereif Germany

ISBN: (纸本)9798350348439;9798350384611

Emerging autonomous and semi-autonomous vehicles such as Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vessels (USV) use unlicensed frequency bands to interact with their remote control stations and peers. Typically, these systems are cost-intensive and their safe operation is of paramount importance. As a result, they establish powerful wireless communication links. When low-power IoT sensing nodes operate nearby, their performance can be considerably affected by cross-technology interference arising from the powerful systems. Different coexistence strategies have been proposed to deal with cross-technology interference, including dynamic channel-hopping, low-level spectrum sensing and channel adaptation, channel blacklisting, and direct cross-technology communication. These approaches require advanced spectrum scanning, detection, and clustering as well as knowledge of low-level packet structure and modulation schemes. In this paper, we propose a packet transmission strategy relying on link quality statistics alone to deal with cross-technology interference. Our approach does not require intimate knowledge of modulation schemes;nor does it require the modification of any hardware components. Evaluation based on traces of field experiments show that our approach improves Packet Delivery Ratio (PDR) by more than 30% when compared to baseline results and by more than 20% when compared to state-of-the-art solutions.

关键词： Wireless sensor networks UAV link quality fluctuation Poisson Process Internet of Things

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Switching Fabric Internal State Analyzer 33

Switching Fabric Internal State Analyzer

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Michalski, Marek Poznan Univ Tech Fac Comp & Telecommun Piotrowo 3 PL-60965 Poznan Poland

ISBN: (数字)9798350384611

ISBN: (纸本)9798350348439;9798350384611

This paper presents a GUI application for analyzing states of a switching fabric, it allows users to create a model of a multi-plane log(2)N switching fabric and analyze the behavior of different control algorithms. In this type of fabric, a desired path from a specific input to a specific output is determined by input and output numbers, and the algorithm must choose the appropriate plane. Connections sharing elements on the same path are in conflict and need to be realized in different planes. The relationship between connections and parts of their paths creates the internal state of the switching fabric, which can be analyzed using complex formulas and presented in various ways. The presented application simplifies the analysis of the fabric's state and facilitates the development of more effective algorithms. Additionally, it includes additional tools such as FPGA core preparation, picture creation, and simulation capabilities.

关键词： Machine learning algorithms Design methodology Focusing Switches Machine learning Fabrics Software

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Content Caching Optimization Based on Improved Bandit Learning Algorithm 33

Content Caching Optimization Based on Improved Bandit Learni...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Li, Miao Qiu, Siyi Liu, Jiong Song, Wenping Natl Univ Def Technol Changsha Peoples R China Zhongnan Univ Econ & Law Wuhan Peoples R China

ISBN: (纸本)9798350348439;9798350384611

The combination of MEC and artificial intelligence technology effectively solves the problems of network congestion, high network latency, and high local computing energy consumption of users. The basis for solving these problems is to solve the problem of low caching hit rate. In large-scale Internet of Things, utilizing caching solutions can effectively improve the caching hit rate of edge nodes, thereby enhancing the user experience. This chapter establishes a large-scale collaborative mobile edge computing architecture supported by 6G. In this architecture, a fine-grained context based caching optimization problem is established with the goal of achieving the hit rate of all user requests in the system. To solve this optimization problem, this article uses a caching optimization algorithm based on Lin UCB to solve the optimization algorithm. Finally, this article uses simulation experiments to verify the superiority of the cache optimization scheme and the rationality of the experiments.

关键词： Caching optimization hit rate LinUCB mobile edge computing

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Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs 33

Large Language Model-Guided Disentangled Belief Representati...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Li, Jinning Han, Ruipeng Sun, Chenkai Sun, Dachun Wang, Ruijie Zeng, Jingying Yan, Yuchen Tong, Hanghang Abdelzaher, Tarek Univ Illinois Dept Comp Sci Urbana IL 61801 USA Georgia Inst Technol Coll Comp Atlanta GA 30332 USA

ISBN: (纸本)9798350348439;9798350384611

The paper advances belief representation learning in polarized networks - the mapping of social beliefs espoused by users and posts in a polarized network into a disentangled latent space that separates (the members and beliefs of) each side. Our prior work embeds social interaction data, using non-negative variational graph auto-encoders, into a disentangled latent space. However, the interaction graphs alone may not adequately reflect similarity and/or disparity in beliefs, especially for those graphs with sparsity and outlier issues. In this paper, we investigate the impact of limited guidance from Large Language Models (LLMs) on the accuracy of belief separation. Specifically, we integrate social graphs with LLM-based soft labels as a novel weakly-supervised interpretable graph representation learning framework. This framework combines the strengths of graphand text-based information, and is shown to maintain the interpretability of learned representations, where different axes in the latent space denote association with different sides of the divide. An evaluation on six real-world Twitter datasets illustrates the effectiveness of the proposed model at solving stance detection problems, demonstrating 5.9%-6.5% improvements in the accuracy, F1 score, and purity metrics, without introducing a significant computational overhead. An ablation study is also discussed to study the impact of different components of the proposed architecture.

关键词： Large Language Models Weak Supervision Graph Auto-Encoders Interpretability Social networks

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Evaluation of Hardware-based Video Encoders on Modern GPUs for UHD Live-Streaming 33

Evaluation of Hardware-based Video Encoders on Modern GPUs f...

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33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Arunruangsirilert, Kasidis Katto, Jiro Waseda Univ Dept Comp Sci & Commun Engn Tokyo Japan

ISBN: (纸本)9798350348439;9798350384611

Many GPUs have incorporated hardware-accelerated video encoders, which allow video encoding tasks to be offloaded from the main CPU and provide higher power efficiency. Over the years, many new video codecs such as H.265/HEVC, VP9, and AV1 were added to the latest GPU boards. Recently, the rise of live video content such as VTuber, game live-streaming, and live event broadcasts, drives the demand for high-efficiency hardware encoders in the GPUs to tackle these real-time video encoding tasks, especially at higher resolutions such as 4K/8K UHD. In this paper, RD performance, encoding speed, as well as power consumption of hardware encoders in several generations of NVIDIA, Intel GPUs as well as Qualcomm Snapdragon Mobile SoCs were evaluated and compared to the software counterparts, including the latest H.266/VVC codec, using several metrics including PSNR, SSIM, and machine-learning based VMAF. The results show that modern GPU hardware encoders can match the RD performance of software encoders in real-time encoding scenarios, and while encoding speed increased in newer hardware, there is mostly negligible RD performance improvement between hardware generations. Finally, the bitrate required for each hardware encoder to match YouTube transcoding quality was also calculated.

关键词： Video Encoders Graphic Processing Unit (GPU) Hardware Acceleration Ultra High-Definition (UHD) Live-Streaming

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