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

共 4934 条记录，以下是161-170 订阅

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ORSM: Online Routing and Scheduling Mechanism for Mix-flows in Data Center networks 31

ORSM: Online Routing and Scheduling Mechanism for Mix-flows ...

引用

31st International Conference on computer communications and networks (ICCCN)

作者： Tang, Zhewei Zhang, Tong Zhu, Kun Nanjing Univ Aeronaut & Astronaut Collage Comp Sci & Technol Nanjing Peoples R China

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Nowadays, diverse cloud services generate a mix of deadline and non-deadline data flows that constitute the mix-flow environment in data center networks. Deadline flows are mainly generated by user-interactive services and must be completed within deadlines, while non-deadline flows are usually produced by data-parallel services and desire a shorter completion time. To satisfy their performance requirements simultaneously, most existing mix-flow scheduling algorithms are dedicated to balancing the resource contention between these two types of flows. However, routing should also be considered in conjunction with scheduling because inappropriate routing tends to prevent scheduling from playing a valid role. In this paper, we propose ORSM, an online routing and scheduling mechanism for mix-flow transport. We formalize the mix-flow routing and scheduling problem as a mixed integer programming problem. ORSM then solves this problem in a distributed manner by leveraging the intrinsic feedback mechanism to determine the path and transmission rate for each flow. Extensive simulation results show that ORSM can effectively reduce the deadline miss ratio of deadline flows by up to 35.7% as well as the average flow completion time of non-deadline flows by up to 38.6% compared to state-of-art mechanisms.

关键词： Data center networks Mix-flow scheduling Routing Deadline miss ratio Flow completion time

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Towards Connecting the Disconnected Internet 31

Towards Connecting the Disconnected Internet

引用

31st International Conference on computer communications and networks (ICCCN)

作者： Martin, Jim Kaur, Manveen Cheng, Long Razi, Abolfazi Clemson Univ Sch Comp Clemson SC 29631 USA

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

We live in a world where social and economic disparity has led to many 'disconnects' that collectively provide unfair bias towards the top 1% of of the wealthiest individuals and elite industry behemoths. This bias can be seen in the technical world leading to 'disconnects' including limited access to broadband access and advanced technology. In this paper we identify hidden 'disconnects' that we believe are stifling innovation. We introduce an abstraction called 'application systems' (APPSYS) which, with more development, could move our Nation's disparate forms of large scale technology use (Facebook, Tik-Tok, and 'the Internet') to a technology fabric that includes current Internet applications but supplemented with an overlay of APPSYSs forming a 'tech-fabric' that can benefit all citizens, and that promotes citizens to contribute to the evolution of the concept. The 'fabric' is potentially a merging of our Nation's Critical Infrastructure with commercial innovation. These two worlds historically have been isolated however there are clearly overlaps and synergies that can no longer go unchecked. As the Nation enters the 'Age of Machines', this fabric would provide the unique architectural model required to facilitate more secure, dependable Critical Infrastructure in a manner that reflects Internet-like attributes such as transparency, and policies/protocols for joining individual Autonomous Systems to form a unified system. Critical to the concept is an APPSYS which will have incentives to 'contribute to the greater good'. In this paper, we summarize the APPSYS concept and identify necessary incremental mandates by the FCC to broaden access to advanced technology for all citizens primarily by shifting the FCC's bias away from current policies that promote the disconnect between economic success centered on the allocation of wealth that has seen the allocation move from 80-20 (80% of the wealth is owned by 20% of the population to the current 90-10 allocation spl

关键词： Economics Technological innovation Social networking (online) Sociology Merging Fabrics Internet

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A Democratically Anonymous and Trusted Architecture for CTI Sharing using Blockchain 31

A Democratically Anonymous and Trusted Architecture for CTI ...

引用

31st International Conference on computer communications and networks (ICCCN)

作者： Dunnett, Kealan Pal, Shantanu Jadidi, Zahra Putra, Guntur Dharma Jurdak, Raja Queensland Univ Technol Sch Comp Sci Brisbane Qld 4000 Australia Griffith Univ Sch Informat & Commun Technol Gold Coast Campus Brisbane Qld 4222 Australia Univ New South Wales Sch Comp Sci & Engn Sydney NSW 2052 Australia

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Cyber Threat Intelligence (CTI) sharing has become a significant issue with the increasing number of cyberattacks. In CTI sharing, one entity (e.g., an organisation or a user) intends to share specific threat information to another entity that might otherwise be unavailable to another entity. However, this process needs to address many challenges, including privacy, trust, and accountability. In this paper, we propose a novel blockchain-based architecture that facilitates the secure dissemination of CTI data. The motivation for this study is to provide a solution that can efficiently address privacy, trust, and accountability when sharing CTI among organisations as well as maintaining an intelligence-based informed decisions. We discuss the current problems within the domain of CTI sharing using blockchain, and our proposal leverages the salient properties of the blockchain, e.g., decentralised, cryptographic keys, immutability, etc., to address those issues. We discuss the detailed design of the proposed architecture. We demonstrate that our approach offers a more effective and efficient way of CTI sharing that has the potential to overcome the trust barriers, data privacy, and accountability issues inherent in this domain.

关键词： Blockchain Cyber Threat Intelligence Privacy Trust Anonymity Accountability Information Sharing

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Automating Operator Oversight in an Autonomous, Regulated, Safety-Critical Research Facility 31

Automating Operator Oversight in an Autonomous, Regulated, S...

引用

31st International Conference on computer communications and networks (ICCCN)

作者： Samal, Tripti Dutta, Rudra Guvenc, Ismail Sichitiu, Mihail L. Floyd, Brian Zajkowski, Thomas North Carolina State Univ Dept Comp Sci Raleigh NC 27695 USA North Carolina State Univ Dept Elect & Comp Engn Raleigh NC USA North Carolina State Univ Inst Transportat Res & Educ Aviat Raleigh NC USA

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

The deployment at scale of Unmanned Aerial Systems have become increasingly imminent in the last few years, even as concerns regarding the dependability and predictability of their command and control channels remain fully to be addressed. The intersection of ground-to-air wireless communications, aerial networking, and trajectory control has become a research area of sharp interest. The validation of such research, beyond the theoretical/simulation stage, requires a facility that is both realistic, and admits of potentially risky or unsafe operation, while in the end guaranteeing personnel and equipment safety. The AERPAW project is an ambitious project, funded by the PAWR program of the US NSF, to create a remote accessible research platform for a research facility to enable such validation. To enable remote usage of such a testbed, yet provide the researcher with complete experimental freedom, the AERPAW facility includes a combination of architectural mechanisms that balance freedom of experimentation with regulatory compliance and safety. In this paper, we articulate the challenges and considerations of designing such mechanisms, and present the architectural features of AERPAW that attempt to realize these lofty goals.

关键词： Wireless testbed 5G NextG UAV UAS drone

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Energy-Efficient Data Transfer Optimization via Decision-Tree Based Uncertainty Reduction 31

Energy-Efficient Data Transfer Optimization via Decision-Tre...

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31st International Conference on computer communications and networks (ICCCN)

作者： Jamil, Hasibul Rodolph, Lavone Goldverg, Jacob Kosar, Tevfik SUNY Buffalo Dept Comp Sci & Engn Amherst NY 14260 USA

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

The increase and rapid growth of data produced by scientific instruments, the Internet of Things (IoT), and social media is causing data transfer performance and resource consumption to garner much attention in the research community. The network infrastructure and end systems that enable this extensive data movement use a substantial amount of electricity, measured in terawatt-hours per year. Managing energy consumption within the core networking infrastructure is an active research area, but there is a limited amount of work on reducing power consumption at the end systems during active data transfers. This paper presents a novel two-phase dynamic throughput and energy optimization model that utilizes an offline decision-search-tree based clustering technique to encapsulate and categorize historical data transfer log information and an online search optimization algorithm to find the best application and kernel layer parameter combination to maximize the achieved data transfer throughput while minimizing the energy consumption. Our model also incorporates an ensemble method to reduce aleatoric uncertainty in finding optimal application and kernel layer parameters during the offline analysis phase. The experimental evaluation results show that our decision-tree based model outperforms the state-of-the-art solutions in this area by achieving 117% higher throughput on average and also consuming 19% less energy at the end systems during active data transfers.

关键词： data transfer optimization energy efficiency decision search tree diversity index uncertainty quantification historical log analysis

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Radio Resource Selection in C-V2X Mode 4: A Multiagent Deep Reinforcement Learning Approach 31

Radio Resource Selection in C-V2X Mode 4: A Multiagent Deep ...

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31st International Conference on computer communications and networks (ICCCN)

作者： Chen, Weixiang Gu, Bo Tan, Xiaojun Wei, Chenhua Sun Yat Sen Univ Sch Intelligent Syst Engn Guangzhou 510275 Peoples R China Guangdong Prov Key Lab Fire Sci & Intelligent Guangzhou 510006 Peoples R China

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

The Third Generation Partnership Project has standardized cellular vehicle-to-everything (C-V2X) sidelink Mode 4 communication to support vehicle-to-vehicle safety applications. In Mode 4, the sensing-based semi-persistent scheduling (SPS) scheme allows vehicles to select radio resources autonomously. In particular, SPS has three steps to generate available resource lists (ARLs) for resource selection. However, the overlapping of ARLs is inevitable when radio resources are insufficient. In this case, randomly selecting from ARLs according to SPS is likely to make adjacent vehicles select the same resources, resulting in packet collisions. Unlike SPS, this paper proposes a multiagent deep reinforcement learning-based SPS (RL-SPS) algorithm to help vehicles select appropriate radio resources. As a consequence, packet collisions can be largely reduced. Furthermore, a centralized multi-head attention mechanism is adopted to improve the efficiency of the training process of RL-SPS. Simulation results demonstrate the reliability, scalability and robustness of the RL-SPS in a dynamic vehicular network.

关键词： C-V2X Mode 4 sensing-based semi-persistent scheduling radio resource selection packet collisions multiagent deep reinforcement learning autonomous mode

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FITIC: A Few-shot Learning Based IoT Traffic Classification Method 31

FITIC: A Few-shot Learning Based IoT Traffic Classification ...

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31st International Conference on computer communications and networks (ICCCN)

作者： Jia, Wenxu Wang, Yipeng Lai, Yingxu He, Huijie Yin, Ruiping Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

With the rapid development and wide application of Internet of Things (IoT) technology, Internet Service Providers need to accurately classify IoT traffic to provide hierarchical network management and network protection for highly heterogeneous IoT devices. Currently, popular traditional machine learning and deep learning-based approaches to IoT traffic classification require large amounts of labeled traffic to build classification models. However, in practice simple IoT traffic with simple operating modes can be identified with only a small amount of labeled traffic and some classes of IoT devices only generate a limited amount of traffic, therefore, the aforementioned methods is not applicable in such scenarios. In this paper, we propose FITIC, a novel IoT traffic classification method based on few-shot learning. FITIC proposes a feature construction method for IoT traffic characteristics and can classify IoT traffic with only a limited number of labeled traffic samples. We evaluate FITIC on two publicly available datasets, and the experimental results show that FITIC has excellent classification accuracy and outperforms the state-of-the-art traffic classification methods.

关键词： Internet of Things Network Traffic Classification Few-shot Learning

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Towards Deterministic Fault-Tolerant Service Function Slicing in Edge networks 31

Towards Deterministic Fault-Tolerant Service Function Slicin...

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31st International Conference on computer communications and networks (ICCCN)

作者： Zheng, Danyang Peng, Chengzong Wang, Ben Cao, Xiaojun Soochow Univ Sch Elect & Informat Engn Suzhou Peoples R China Georgia State Univ Dept Comp Sci Atlanta GA USA

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

The ultra-reliable and low latency communication (URLLC) service in 5G/6G will be delivered through a sequence of software-based network functions, also known as a service function chain (SFC). To satisfy the ultra-reliable requirement of the URLLC service, fault-tolerance in URLLC SFC processes is required. However, achieving deterministic fault-tolerance in URLLC SFC delivery is challenging as physical/virtual network failures and hardware/software failures have to be jointly considered. In this work, we first introduce an augmented SF protection graph, called k-connected service function slicing (KC-SFS), which can facilitate the SF protection against multiple concurrent physical/virtual node and physical link failures. Based on the KC-SFS, we define a new problem called deterministic fault-tolerant service function slicing (DFT-SFC) and formulate it with a mathematical model. To solve DFT-SFC, we propose an efficient heuristic algorithm, called service function slice embedding (SFSE), which employs the k-connected network slicing technique (k-NST). Via thorough mathematical analysis, we prove that k-NST achieves 2-approximation. Meanwhile, our extensive experimental results show that the proposed SFSE guarantees deterministic fault-tolerance and outperforms the schemes directly extended from the state-of-the-art.

关键词： Network function virtualization Reliable service function slicing Deterministic fault-tolerance

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LUSketch: A Fast and Precise Sketch for top-k Finding in Data Streams 31

LUSketch: A Fast and Precise Sketch for top-k Finding in Dat...

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31st International Conference on computer communications and networks (ICCCN)

作者： Lu, Jie Chen, Hongchang Zhang, Zhen PLA Informat Engn Univ Zhengzhou Peoples R China Natl Digital Switching Syst Engn & Technol Res & Zhengzhou Peoples R China Network Commun & Secur Purple Mt Lab Nanjing Peoples R China

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Finding top-k flows in data streams is a fundamental task in network management. As the line rates continue to increase in a network, it becomes increasingly challenging to find the top-k flows precisely and quickly in real time. Existing algorithms that can achieve high precision suffer from a slow speed. In this paper, we propose a novel sketch, LUSketch, which is much faster than existing algorithms. LUSketch adopts a new strategy called limited-and-imperative-update to significantly improve the insertion speed. The key idea is to significantly reduce the number of update operations by establishing a connection between the sketch and heap part when tracking the top-k flows. Our experiment results show that, while maintaining a high precision, LUSketch achieves an insertion speed approximately 2 to 5 times higher than that of the state-of-the-art.

关键词： Traffic Measurement Top-k flows Sketch

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Elements of Architecture of Simulator Realized on NetFPGA10G Card 31

Elements of Architecture of Simulator Realized on NetFPGA10G...

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31st 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)9781665497268

ISBN: (纸本)9781665497268

Simulations in typical software take a long time. To make them faster, it is possible to use hardware acceleration. Some people use graphical processors (GPU) which are faster than typical CPU (Central Processing Unit). Much more faster and more effective is to prepare Application Specific Integrated Circuit (ASIC). But it costs a lot of money and also takes time. Nowadays, optimal solution is to use FPGA chips (Field-Programmable Gate Array) which allow to prepare programmable hardware. It is flexible and fast. It requires specific treatment, tool chain for programming and testing, but finally, it gives powerful platform for calculation and data processing. In this paper I will show elements of architecture of system which was composed of 5 NetFPGA cards with 10G interfaces and Virtex 5 onboard (FPGA chip from Xilinx). Primary purpose of such a card is to serve Ethernet/IP network traffic, but, after preparing dedicated design, it is possible to use it as a hardware engine for calculations, ie. simulations.

关键词： Application specific integrated circuits computer architecture Telecommunication traffic Programming Software Central Processing Unit Integrated circuit modeling

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