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2019 International Conference on Information Networking (ICOIN)最新文献

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Joint Task Offloading and Flexible Functional Split in 5G Radio Access Network 5G无线接入网中的联合任务卸载与灵活功能拆分
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8718107
Zhipeng Cheng, Yuliang Tang, Haijie Wu
Task offloading is a cost-effective way to allow users to obtain better service by offloading the computation intensive tasks to the fog or cloud computing nodes.Many previous work have been done and many of them focus on where to offload the task and how to split the task for cooperative execution.However,few of them consider task offloading in 5G flexible radio access network(F-RAN) and split the task according to the flexible functional split between the central unit(CU) and distributed unit(DU).In this paper, we study the task offloading in 5G F-RAN and combine the task split with flexible functional split. We firstly formulate a multiuser offloading decision problem as a energy consumption minimization problem which results in a trade-off between energy consumption and delay tolerance.In view of the characteristics of 5G F-RAN, the fronthaul and backhaul network are taken into consideration when calculating the energy consumption and delay. We split the task according to the flexible functional split between CU and DU for cooperative execution when the task is offloaded.Numerical simulations show that our proposed model can reduce the energy consumption and execution delay.
任务卸载是将计算密集型任务卸载到雾计算或云计算节点上,使用户获得更好服务的一种经济有效的方式。之前已经完成了许多工作,其中许多工作都集中在任务的卸载位置以及如何拆分任务以进行协同执行。然而,在5G灵活无线接入网(F-RAN)中,很少有人考虑任务卸载,并根据中央单元(CU)和分布式单元(DU)之间的灵活功能划分来划分任务。本文研究了5G F-RAN中的任务卸载问题,并将任务拆分与灵活功能拆分相结合。首先将多用户卸载决策问题表述为能量消耗最小化问题,该问题在能量消耗和延迟容忍度之间进行权衡。针对5G F-RAN的特点,在计算能耗和时延时考虑了前传和回程网络。我们根据CU和DU之间灵活的功能划分对任务进行拆分,以便在任务卸载时协同执行。数值仿真结果表明,该模型能够有效地降低能耗和执行延迟。
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引用次数: 10
Collective Segment Request Policy of HTTP Adaptive Streaming in Multipath Environments 多径环境下HTTP自适应流的集合段请求策略
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8718121
Heekwang Kim, K. Chung
HTTP (HyperText Transfer Protocol) adaptive streaming has been receiving attention to provide video streaming services efficiently by adaptively adjusting the transmission rate. With the demand of high-quality video streaming, since mobile devices are now equipped with multiple wireless interfaces connected to different networks (3G/4G or WiFi), one possible solution to provide better QoE (Quality of Experience) is to use multipath protocols. In HTTP adaptive streaming system, the player generates an ON/OFF traffic pattern during the steady state. It degrades the bandwidth utilization and the user QoE. In this paper, we propose a collective segment request policy of HTTP adaptive streaming in multipath environments to improve the bandwidth utilization. In our scheme, the player requests a group of segments in periodical interval to reduce the OFF period. We also present the rate adaptation scheme to improve the average bitrate. Through simulation, we prove that our scheme significantly improves bandwidth utilization and increase average bitrate.
HTTP (HyperText Transfer Protocol,超文本传输协议)自适应流媒体技术通过自适应调整传输速率,高效地提供视频流媒体服务,已成为人们关注的焦点。随着高质量视频流的需求,由于移动设备现在配备了连接到不同网络(3G/4G或WiFi)的多个无线接口,提供更好的QoE(体验质量)的一个可能的解决方案是使用多路径协议。在HTTP自适应流系统中,播放器在稳定状态下产生一个ON/OFF流量模式。这会降低带宽利用率和用户qos。本文提出了一种多径环境下的HTTP自适应流的集合分段请求策略,以提高带宽利用率。在我们的方案中,玩家以周期性间隔请求一组片段以减少OFF周期。为了提高平均比特率,我们还提出了一种速率自适应方案。通过仿真,我们证明了该方案显著提高了带宽利用率和平均比特率。
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引用次数: 0
Blockchain-Based Management of Video Surveillance Systems 基于区块链的视频监控系统管理
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8718126
Yena Jeong, Dongyeop Hwang, Ki-Hyung Kim
In this paper, we propose a video surveillance system based on blockchain system. The proposed system consists of a blockchain network with trusted internal managers. The metadata of the video is recorded on the distributed ledger of the blockchain, thereby blocking the possibility of forgery of the data. The proposed architecture encrypts and stores the video, creates a license within the blockchain, and exports the video. Since the decryption key for the video is managed by the private DB of the blockchain, it is not leaked by the internal manager unauthorizedly. In addition, the internal administrator can manage and export videos safely by exporting the license generated in the blockchain to the DRM-applied video player.
本文提出了一种基于区块链系统的视频监控系统。该系统由一个区块链网络和可信的内部管理者组成。视频的元数据记录在区块链的分布式账本上,杜绝了数据被伪造的可能性。所提出的体系结构对视频进行加密和存储,在区块链中创建许可证,并导出视频。由于视频的解密密钥由区块链的私有DB管理,因此不会被内部管理器非法泄露。此外,内部管理员可以将区块链中生成的license导出到应用drm的视频播放器中,从而安全地管理和导出视频。
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引用次数: 16
3-D GM-MAC with Fixed Sensor Nodes for Stability Improvement 3-D GM-MAC与固定传感器节点的稳定性改进
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8717980
Yoonkyung Jang, Ahreum Shin, Myeongseung Han, Intae Ryoo
Recently, research on medium access control(MAC) protocol with sinks and mobile sensor nodes is done actively. In wireless sensor networks(WSNs), performance on energy efficiency is important because sensor nodes have limited energy resources and any kind of operation failure of sensors might disrupt the entire network. 3-dimensional group management MAC(3-D GM-MAC) is a MAC protocol designed for 3-dimensional wireless mobile sensor networks. In this paper, we have proposed an updated version of 3-D GM-MAC with some fixed sensor nodes. Also, we have shown that the proposed scheme improves the stability of WSN by sending and receiving guaranteed information to/from sensor nodes. With the computer simulation results, the proposed scheme achieves about 43.4% reduction in a group number resetting compared to that of the original 3-D GM-MAC, and increases the whole life time of the network about 10% more than the original one.
近年来,基于sink和移动传感器节点的介质访问控制(MAC)协议的研究非常活跃。在无线传感器网络(WSNs)中,由于传感器节点的能量资源有限,并且传感器的任何一种操作故障都可能导致整个网络的中断,因此能效性能非常重要。三维组管理MAC(3-D GM-MAC)是针对三维无线移动传感器网络设计的MAC协议。在本文中,我们提出了一个带有固定传感器节点的三维GM-MAC的更新版本。此外,我们还证明了该方案通过向传感器节点发送和接收有保证的信息来提高WSN的稳定性。计算机仿真结果表明,与原3-D GM-MAC方案相比,该方案的群号重设次数减少43.4%,网络全寿命比原方案提高10%左右。
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引用次数: 1
Imbalanced Internet Traffic Classification Using Ensemble Framework 基于集成框架的不平衡互联网流量分类
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8717977
Phuylai Oeung, Fuke Shen
Machine learning (ML)-based traffic classification has been gaining increasing importance due to the declining port-based and payload-based approaches. However, the packet-level method is the most common measure used in the previous works, which requires additional hardware device to manage and monitor, increasing cost as well as extra works of the network personnel. In this paper, we propose a methodology to build an efficient classifier from NetFlow which is the widely applied monitoring solution among network operators in the form of flow-level. First, we analyze the per-application performance through the C4.5 decision tree with the features derived from the NetFlow records. The result shows that the accuracy obtained is as good as the packet-level method. We further propose the ensemble feature selection (FS) method to improve the classification accuracy and to reduce the computational complexity. Lastly, we present the clustering-based under-sampling combining with synthetic minority over-sampling technique (SMOTE) approach to solving the problem of the concept drift and the imbalanced dataset, and we extract insights and recommendation for practical application. With the combination of proposed methods, the experiment result reports high F-measure over two traces containing the wide range of applications with low computational complexity.
由于基于端口和基于有效负载的方法不断减少,基于机器学习(ML)的流量分类变得越来越重要。然而,在以往的工作中,最常用的是分组级方法,这种方法需要额外的硬件设备进行管理和监控,增加了成本,也增加了网络人员的额外工作。本文提出了一种基于NetFlow的高效分类器构建方法,该分类器是目前网络运营商广泛采用的流级监控方案。首先,我们通过C4.5决策树分析每个应用程序的性能,该决策树具有来自NetFlow记录的特征。结果表明,该方法的精度与分组级方法相当。为了提高分类精度和降低计算复杂度,我们进一步提出了集成特征选择(FS)方法。最后,我们提出了基于聚类的欠采样与合成少数过采样技术(SMOTE)相结合的方法来解决概念漂移和数据集不平衡的问题,并为实际应用提供了见解和建议。结合所提出的方法,实验结果报告了高f测量在两个轨迹包含广泛的应用范围和低计算复杂度。
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引用次数: 3
Adaptive Preventive and Remedial Measures in Resolving Cloud Quality of Service Violation 解决云服务质量违规的自适应预防和补救措施
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8718133
T. Wong, Gaik-Yee Chan, Fang-Fang Chua
Cloud Computing acts as a paradigm to support on-demand computing services, from applications to storage, manage and processing capabilities. One of the major challenges in delivering and accessing cloud applications is the management of Quality of Service (QoS) and cloud service providers are mandated to adhere to Service Level Agreement (SLA) in providing quality cloud services to the users. The agreement matching is important for both parties to ensure satisfaction and expectation level. This proposed work aims to resolve cloud QoS violation with the implementation of adaptive preventive and remedial mechanisms. Preventive measure such as horizontal scaling is used to optimize the performance of a running cloud service in order to prevent the cloud service to downgrade to QoS violation condition. Remedial action on the other hand, is to provide fault tolerance using replication for faulty cloud service to recover from failure incidents or already violation condition. Experimental results have demonstrated the feasibility and effectiveness of applying horizontal scaling in preventing and replication in rectifying cloud QoS violations based on response time and throughput.
云计算作为一种范例来支持按需计算服务,从应用程序到存储、管理和处理功能。交付和访问云应用程序的主要挑战之一是服务质量(QoS)的管理,云服务提供商在向用户提供高质量的云服务时必须遵守服务水平协议(SLA)。协议匹配对于双方确保满意和期望水平非常重要。本文提出的工作旨在通过实施自适应预防和补救机制来解决云服务质量违反问题。为了防止云服务降级到违背QoS的情况,使用水平扩展等预防性措施来优化正在运行的云服务的性能。另一方面,补救措施是使用复制为有故障的云服务提供容错性,以便从故障事件或已经违反的情况中恢复。实验结果表明,在基于响应时间和吞吐量的云QoS违规纠错中,应用水平扩展进行预防和复制的可行性和有效性。
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引用次数: 2
Conference Room Map 会议室地图
Pub Date : 2019-01-01 DOI: 10.1109/icoin.2017.7899592
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引用次数: 0
Dynamic Adaptive Streaming Over HTTP Using Scalable Video Coding with Multipath TCP in SDN 动态自适应流在HTTP上使用可扩展的视频编码与多路径TCP在SDN
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8718153
Ali Gohar, A. Raza, Sanghwan Lee
To cope up with increasing video traffic demands over the Internet, Dynamic Adaptive streaming over HTTP (DASH) is gradually being adopted. It provides a convenient approach to stream multimedia in an adaptive and dynamic way to heterogeneous end devices. But it has its disadvantages which include storage of multimedia content, congestion in the delivery network or access link due to sudden increase in the requests, end-to-end delay, inefficient network bandwidth utilization etc. These unfavorable circumstances limit the number of user requests and efficient utilization of network bandwidth. Therefore, in this paper we propose Dynamic Multi Path Finder (DMPF) algorithm. DMPF uses multi-path TCP (MPTCP) to transmit different Scalable Video Coding (SVC) layers, over Moving Picture Experts Group (MPEG) DASH standard in software defined network (SDN). DMPF accommodates maximum multimedia requests by DASH Clients while utilizing the network bandwidth efficiently by dynamically adapting to the varying connection characteristics. In order to test the efficiency of the DMPF, we compare its performance with Baseline Algorithm. We describe our implementation on a real network topology and show that in a simulated environment our proposed algorithm outperforms the Baseline Algorithm in accommodating requests while utilizing the network bandwidth efficiently.
为了应对互联网日益增长的视频流量需求,动态自适应流媒体技术(Dynamic Adaptive streaming over HTTP, DASH)正逐渐被采用。它提供了一种方便的方法,以自适应和动态的方式将多媒体流传输到异构的终端设备。但它也有其缺点,如多媒体内容的存储、传输网络或接入链路因请求突然增加而出现拥塞、端到端延迟、网络带宽利用率低等。这些不利的情况限制了用户请求的数量和对网络带宽的有效利用。因此,本文提出了动态多路径查找器(DMPF)算法。DMPF使用多路径TCP (MPTCP)在软件定义网络(SDN)中的移动图像专家组(MPEG) DASH标准上传输不同的可扩展视频编码(SVC)层。DMPF通过动态适应不同的连接特性,有效地利用网络带宽,同时最大限度地满足DASH客户端的多媒体请求。为了测试DMPF算法的效率,我们将其与基线算法进行了性能比较。我们描述了我们在真实网络拓扑上的实现,并表明在模拟环境中,我们提出的算法在有效利用网络带宽的同时,在容纳请求方面优于基线算法。
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引用次数: 1
Video-Aware Multipath Network Coding over Multi-Hop Wireless Networks 基于多跳无线网络的视频感知多路径网络编码
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8718114
Huali Cui, Qindong Sun, Beibei Zhang, Xingjun Zhang, Weiguo Wu
Network coding has been shown to be an efficient approach for enhancing video streaming quality. With intersession network coding, intermediate nodes will mix the media packets from different sources. However, packets from different flows may have different transmission rate and this will cause lack of coding opportunity for a period of time. So the relay nodes have to make a decision whether to forward packets directly or wait for the next opportunity to encode. In this paper, a prioritized network coding scheme is proposed to address the problem of mismatched coding opportunities in multiple streams. The base-layer packets of the streaming are received by the destination node with a high probability and the number of sent packets are reduced while taking full advantage of the limited network bandwidth. The experimental results show that the proposed scheme enhances the video quality compared to existing opportunistic coding schemes.
网络编码已被证明是提高视频流质量的有效方法。使用会话间网络编码,中间节点将混合来自不同来源的媒体数据包。但是,来自不同流的数据包可能具有不同的传输速率,这将导致一段时间内缺乏编码机会。因此中继节点必须决定是直接转发数据包还是等待下一个编码机会。针对多数据流中编码机会不匹配的问题,提出了一种优先网络编码方案。在充分利用有限的网络带宽的情况下,流的基础层数据包更有可能被目的节点接收,减少发送的数据包数量。实验结果表明,与现有的机会编码方案相比,该方案提高了视频质量。
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引用次数: 2
A Comparative Study on Anchorless Routing in 5G System 5G系统中无锚点路由的比较研究
Pub Date : 2019-01-01 DOI: 10.1109/ICOIN.2019.8718155
K. Fukui, K. Tsubouchi, Shigeru Iwashina
In vehicle-to-vehicle communications with the assistance of network (V2N2V), it is important to reduce the end-to-end delay between vehicles. However, the current 5G system as well as existing studies do not satisfy this in some mobility scenarios. To address this issue, we propose three methods that enhance an anchorless routing that follows the concept of Locator/ID Separation Protocol (LISP). In these methods, the control plane node proactively injects mapping information of the vehicle's ID and its locator to suitable user-plane nodes. We show that the proposed methods can reduce the delay by up to 81% than the current 5G System on evaluations using mobility scenarios.
在网络辅助下的车对车通信(V2N2V)中,减少车辆之间的端到端延迟非常重要。然而,目前的5G系统以及现有的研究在某些移动场景下并不能满足这一要求。为了解决这个问题,我们提出了三种方法来增强遵循定位器/ID分离协议(LISP)概念的无锚点路由。在这些方法中,控制平面节点主动向合适的用户平面节点注入车辆ID及其定位器的映射信息。我们表明,在使用移动性场景的评估中,所提出的方法可以比当前5G系统减少高达81%的延迟。
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引用次数: 0
期刊
2019 International Conference on Information Networking (ICOIN)
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