2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)最新文献_第7页

On Using Flow Classification to Optimize Traffic Routing in SDN Networks 基于流分类的SDN网络流量路由优化研究

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045216

Haythem Yahyaoui, Saifeddine Aidi, M. Zhani

引用次数: 15

SmartFIB: Low-Replacement Route Storage for Large Name Space Forwarding SmartFIB:用于大名称空间转发的低替换路由存储

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045738

Dinh Nguyen, H. Asaeda

{"title":"SmartFIB: Low-Replacement Route Storage for Large Name Space Forwarding","authors":"Dinh Nguyen, H. Asaeda","doi":"10.1109/CCNC46108.2020.9045738","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045738","url":null,"abstract":"We revisit route caching in information-centric networking and propose SmartFIB, a tandem route storage design for dealing with the name forwarding table scalability problem. The proposed route storage not only can quickly adapt to traffic pattern to retain the most frequently referred name prefixes but also is hardware-friendly thanks to its exceptionally low replacement rate. The low replacement, moreover, reduces route lookup rates in settings where centralized name resolution service or scoped route discovery is deployed. Our scheme is lightweight, can enhance route hit rate of small-size fast-memory forwarding information base (FIB), and most remarkably is able to reduce route replacement multiple folds. Evaluated in real-topology networks under a wide variety of parameter settings, the proposed route storage can increase hit rate by 27% compared with a conventional route cache especially with a tiny FIB size, four orders of magnitude smaller than the name prefix space, and more importantly, it can lower route replacement more than 7 times. The results suggest that our proposed scheme is a viable technique to complement route caching in dealing with the name forwarding table scalability problem.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127620046","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

Cache Policy Based on Popularity Dynamics of YouTube Video Content 基于YouTube视频内容流行动态的缓存策略

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045318

Koki Nagata, N. Kamiyama, M. Yamamoto

{"title":"Cache Policy Based on Popularity Dynamics of YouTube Video Content","authors":"Koki Nagata, N. Kamiyama, M. Yamamoto","doi":"10.1109/CCNC46108.2020.9045318","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045318","url":null,"abstract":"In recent years, video traffic has rapidly increased, and reducing video traffic is an important issue for network providers. By caching video content at cache servers close to users, network providers can expect to reduce the video traffic in the networks. However, the storage capacity of cache servers is limited, so it is necessary to carefully select contents to be cached to effectively utilize the limited cache resources. In order to make effective use of cache resources, it is important to cache content based on the popularity dynamics of video contents. It is known that video contents have different popularity dynamics in each video category. For example, videos of movie and music categories tend to maintain view counts over long time, whereas the view counts of videos of news and sports categories rapidly decrease. In this paper, we propose a caching method that selects video content to be cached based on the popularity dynamics of video content in each category. To clarify the effectiveness of the proposed caching method, we evaluate the cache hit ratio of the proposed method by a trace-driven simulator using a measured request pattern of YouTube videos. We show that the proposed method improves the cache hit ratio compared with the LRU.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127945496","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

Optimal Power Allocation and Signal Phase Selection in NOMA Wireless Relay Networks NOMA无线中继网络中最优功率分配和信号相位选择

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045610

Yen-Chun Liu, Rung-Hung Gau

引用次数: 2

Improving Information Dissemination in Vehicular Opportunistic Networks 改善车载机会网络的信息传播

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045314

Leonardo Chancay-Garcia, Jorge Herrera-Tapia, P. Manzoni, Enrique Hernández-Orallo, C. Calafate, Juan-Carlos Cano

引用次数: 2

Effective disaster recovery for edge computing against large-scale natural disasters 针对大规模自然灾害的边缘计算有效的灾难恢复

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045528

Takuma Tsubaki, Ryota Ishibashi, Takeshi Kuwahara, Yoshikatsu Okazaki

{"title":"Effective disaster recovery for edge computing against large-scale natural disasters","authors":"Takuma Tsubaki, Ryota Ishibashi, Takeshi Kuwahara, Yoshikatsu Okazaki","doi":"10.1109/CCNC46108.2020.9045528","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045528","url":null,"abstract":"With the spread of the Internet of Things (IoT), edge computing (EC) has attracted renewed attention. EC places resources such as CPU and storage closer to the user than cloud computing (CC) to realize low-latency services and/or mitigate network congestion to a cloud. In a telecommunications carrier, resources are placed at telephone central offices (TCOs). At the same time, EC requires disaster recovery for large-scale natural disasters such as earthquakes and tsunami, as TCOs have been damaged by natural disasters in the past. In disaster recovery of CC, data stored in a cloud is backed up to another geographically separated cloud location to prevent data loss due to natural disasters. However, as video IoT which is one of the most popular use cases of EC contains a large amount of data, backing up all data to a cloud causes network congestion to the cloud. Therefore, one way to mitigate network congestion is to back up data utilizing edges (i.e., distributed TCOs). In this paper, we propose disaster recovery for data backup by selecting a data backup location from as many distributed TCOs as possible to mitigate network congestion in EC against large-scale natural disasters. Our proposed method efficiently utilizes resources to prevent data loss due to natural disasters.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116015755","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: 5

Foreseeing Semi-Persistent Scheduling in Mode-4 for 5G enhanced V2X communication 展望5G增强V2X通信模式4的半持久调度

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045276

P. J. Honnaiah, N. Maturo, S. Chatzinotas

引用次数: 2

Secrecy Improvement of Cognitive Relay Networks using Modulation Diversity 利用调制分集提高认知中继网络的保密性

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045514

Muhammad Ajmal Khan, F. Hassan

{"title":"Secrecy Improvement of Cognitive Relay Networks using Modulation Diversity","authors":"Muhammad Ajmal Khan, F. Hassan","doi":"10.1109/CCNC46108.2020.9045514","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045514","url":null,"abstract":"In this paper, physical-layer security of cognitive relay network under spectrum sharing environment using a decode-and-forward (DF) relay is studied and improved by incorporating modulation diversity into the secondary system. Modulation diversity rotates the signal constellation to make each component of the signal point unique and then interleaves quadrature components of the signal points to affect each component by independent fading channel. Modulation diversity facilitates source and intermediate relay to transmit different symbols to the destination and thus the proposed system transmits two symbols in two time slots compared to the conventional underlay cognitive relay network which transmits one symbol in two time slots. Hence, the secrecy capacity of the proposed system is greater than that of the conventional system. Therefore, the secrecy performance analysis and results of the proposed system are completely different than those of the conventional system. Moreover, it is shown that the secrecy outage probability of the proposed system is improved by 10 times compared to the conventional system. Finally, the closed-form expressions for the secrecy outage probability, probability of non-zero secrecy capacity and probability of intercept of the proposed system are derived and discussed.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117215213","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: 3

Station-centric Access Point Selection Method for Heterogeneous Wi -Fi Environment 异构Wi -Fi环境下以站为中心的接入点选择方法

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045347

Shohei Arakaki, Daiki Nobayashi, K. Tsukamoto

引用次数: 1

An Authorized Access Attack Detection Method for Realtime Intrusion Detection System 一种实时入侵检测系统的授权访问攻击检测方法

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045334

Sung-Kwan Youm, Yong-Kab Kim, Kwang-Seong Shin, Eui-Jik Kim

{"title":"An Authorized Access Attack Detection Method for Realtime Intrusion Detection System","authors":"Sung-Kwan Youm, Yong-Kab Kim, Kwang-Seong Shin, Eui-Jik Kim","doi":"10.1109/CCNC46108.2020.9045334","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045334","url":null,"abstract":"Recently, a malicious user breaks into the network and destroys the entire network. In particular, it destroys the whole network through unauthorized access attacks with a contaminated system. In this paper, we propose a fast unauthorized access attack detection method for the real-time intrusion detection system. Conventionally, unauthorized access detection was performed by supervised learning to analyze all collected traffic characteristics. In the proposed method, the normal traffic is classified through unsupervised learning prior to a supervised learning, and the intrusion detection of supervised learning for unauthorized access to the normal traffic is not performed. Here, our scheme makes up arbitrary test traffic to pass through a gateway in order to classify the normal traffic. A supervised learning is performed as to classify unauthorized access attack types on abnormal traffic. Therefore, we verified that the proposed method can classify normal traffic and detect unauthorized access attacks against abnormal traffic and shorten the time than the conventional method by simulation.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114757224","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: 2