2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)最新文献_第9页

Utilization of the Blockchain Network in The Public Community Health Center Medicine Supply Chain 区块链网络在公共社区卫生中心药品供应链中的应用

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/APNOMS50412.2020.9237042

Hartanto Kumiawan, JungYeon Kim, Hongtaek Ju

引用次数: 7

Mobility Performance Enhancement in Small Cells Cluster of 5G Network: A Handover Overhead Reduction Approach 5G网络小蜂窝簇移动性能增强:一种减少切换开销的方法

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/APNOMS50412.2020.9236961

Adeel Rafiq, Muhammad Afaq, Wang-Cheol Song

{"title":"Mobility Performance Enhancement in Small Cells Cluster of 5G Network: A Handover Overhead Reduction Approach","authors":"Adeel Rafiq, Muhammad Afaq, Wang-Cheol Song","doi":"10.23919/APNOMS50412.2020.9236961","DOIUrl":"https://doi.org/10.23919/APNOMS50412.2020.9236961","url":null,"abstract":"To achieve high availability of traffic and maximum coverage in the 5G network, clusters of small cells approach to maximize the system capacity. In this approach, the Core Network (CN) encounters a large number of signals due to the frequent hand-off between small cells in the event of an increase in the speed of user movement and users within certain limits of small cells. The present 5G system executes all handoff signals in the traditional complex hierarchical sequence which leads the system toward the bad performance due to redundant signaling. NO Stack architecture has emerged as a promising methodology for radio access network (RAN) in the context of reducing the redundant signaling during X2-based handover by using control logic centrally and flat protocols. This paper proposes a system that is based on NO Stack architecture for reducing handoff requests in CN by assigning the dedicated mobility controller to each cluster of small cells for locally managing the mobility. The dedicated cluster controller specially designs to manage and control the cluster of small cells as well as maintain the forwarding information of user equipment locally. In this proposed system, the dedicated controller resides at the nearest edge cloud, therefore a distributed edge cloud network is developed for high computing infrastructure and low latency access for the X2-based handover request.","PeriodicalId":122940,"journal":{"name":"2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"29 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114105396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Dynamic Control Method of Explicit Address Mapping Table in IPv6 Single-Stack Network IPv6单栈网络中显式地址映射表的动态控制方法

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/APNOMS50412.2020.9237034

Yasunobu Toyota, Osamu Nakamura

{"title":"Dynamic Control Method of Explicit Address Mapping Table in IPv6 Single-Stack Network","authors":"Yasunobu Toyota, Osamu Nakamura","doi":"10.23919/APNOMS50412.2020.9237034","DOIUrl":"https://doi.org/10.23919/APNOMS50412.2020.9237034","url":null,"abstract":"In recent years, Internet Data Center (IDC) network operation with IPv6 single-stack gathers attention because of IPv4 address pool exhaustion and the high operational load associated with IPv4/IPv6 dual-stack. Since IPv4 traffic still accounts for a large percentage of the total Internet traffic, it is necessary to provide IPv4 services even in IPv6 single-stack networks. A method of providing IPv4 accessibility in an IPv6 single-stack network is known as IPv4 as a Service (IPv4aaS); there are three possible approaches. This research proves that IPv4/IPv6 translation is the most compatible and effective for IDC network operations. The SIIT-DC network design has been standardized as a way to provide IPv4 services with IPv4 / IPv6 Translation. In SIIT-DC, a translation node referred to as Border Relay (BR) is connected between the IPv4 Internet and an IPv6 IDC network in order to translate IPv4 and IPv6 mutually (in order to enable IPv4 service provision in IPv6 server). However, to operate an SIIT-DC network without the lack of redundancy and operational load spikes in multi-homing networks, the Explicit Address Mapping Table (EAMT) must be shared dynamically and consistently with BRs. This paper compares approaches to control EAMT dynamically in SIIT-DC environment and clarifies the benefits and drawbacks of each. The results are expected to contribute to the design of IPv6 single-stack networks in IDC.","PeriodicalId":122940,"journal":{"name":"2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Graph Neural Network based Service Function Chaining for Automatic Network Control 基于图神经网络的业务功能链网络自动控制

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/APNOMS50412.2020.9236954

DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi

{"title":"Graph Neural Network based Service Function Chaining for Automatic Network Control","authors":"DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi","doi":"10.23919/APNOMS50412.2020.9236954","DOIUrl":"https://doi.org/10.23919/APNOMS50412.2020.9236954","url":null,"abstract":"Software-defined networking (SDN) and the network function virtualization (NFV) led to great developments in software based control technology by decreasing expenditures. Service function chaining (SFC) is an important technology to find efficient paths in network servers to process all of the requested virtualized network functions (VNF). However, SFC is challenging since it has to maintain high Quality of Service (QoS) even for complicated situations. Although some works have been conducted for such tasks with high-level intelligent models like deep neural networks (DNNs), those approaches are not efficient in utilizing the topology information of networks and cannot be applied to networks with dynamically changing topology since their models assume that the topology is fixed. In this paper, we propose a new neural network architecture for SFC, which is based on graph neural network (GNN) considering the graph-structured properties of network topology. The proposed SFC model consists of an encoder and a decoder, where the encoder finds the representation of the network topology, and then the decoder estimates probabilities of neighborhood nodes and their probabilities to process a VNF. In the experiments, our proposed architecture outperformed previous performances of DNN based baseline model. Moreover, the GNN based model can be applied to a new network topology without re-designing and re-training.","PeriodicalId":122940,"journal":{"name":"2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123895086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Design and simulation of self-organizing network routing algorithm based on Q-learning 基于q -学习的自组织网络路由算法设计与仿真

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/APNOMS50412.2020.9237020

Yuejia Dou, Huilin Liu, Liangkang Wei, Shiyou Chen

{"title":"Design and simulation of self-organizing network routing algorithm based on Q-learning","authors":"Yuejia Dou, Huilin Liu, Liangkang Wei, Shiyou Chen","doi":"10.23919/APNOMS50412.2020.9237020","DOIUrl":"https://doi.org/10.23919/APNOMS50412.2020.9237020","url":null,"abstract":"With the continuous advancement of computer network communication technology, traditional wired and wireless networks are limited by cables and base stations, and are not applicable in some application scenarios. Therefore, mobile wireless communication methods have attracted more and more attention. Due to its dynamic topology and self-organizing without center, the self-organizing network can form a mobile temporary multi-hop mobile communication network through multiple wireless communication devices, which can well meet the above requirements. At present, research on self-organizing networks mainly focuses on routing protocols. The main types are based on network topology information and location information. This paper designs a routing algorithm based on link reliability. The algorithm fully considers the self-organizing network link information, and models the node's sending and receiving work as a Markov decision process, and uses Q-learning to demodulate. This article used NS2 for network simulation and analysis and comparison of performance indicators with traditional routing algorithms.","PeriodicalId":122940,"journal":{"name":"2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123198689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Event-Triggered Media Stream Bandwidth Adjustment in IoT-Based Home Networks 基于物联网家庭网络的事件触发媒体流带宽调整

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/APNOMS50412.2020.9236988

Chao-Yu Hsu, Chin-Lin Hu, K. Huang, Yung-Hui Chen, Jiun-Long Huang

引用次数: 0

Switched Digital Video Using Convergence Transmission of Broadcasting and Communication on Cable TV Network 有线电视网络广播通信融合传输的交换数字视频

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/apnoms50412.2020.9237058

Joonyoung Jung, Dong-Joon Choi, Ran-Jae Im

引用次数: 0

TCP-PPCC: Online-Learning Proximal Policy for Congestion Control TCP-PPCC:在线学习的拥塞控制策略

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/APNOMS50412.2020.9236989

Jing Li, Yuyao Guan, Pengpeng Ding, Shiwei Wang

引用次数: 1

Federated Learning for Cellular Networks: Joint User Association and Resource Allocation 蜂窝网络的联合学习:联合用户关联和资源分配

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) Pub Date : 2020-09-01 DOI: 10.23919/APNOMS50412.2020.9237045

L. U. Khan, Umer Majeed, C. Hong

引用次数: 8