2021 International Conference on Information Networking (ICOIN)最新文献_第8页

Reliable and Delay Tolerant Transmission Protocols for LPWAN IoT Sensors LPWAN物联网传感器的可靠和容忍延迟传输协议

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9333934

Cheng-Che Huang, Yu-Cheng Chien, Jia-Cheng Zhang, N. Huang

引用次数: 1

An Empirical Evaluation of NVM-aware File Systems on Intel Optane DC Persistent Memory Modules 基于Intel Optane DC持久内存模块的nvm感知文件系统的实证评估

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9333911

Guangyu Zhu, Jaehyun Han, Sangjin Lee, Yongseok Son

{"title":"An Empirical Evaluation of NVM-aware File Systems on Intel Optane DC Persistent Memory Modules","authors":"Guangyu Zhu, Jaehyun Han, Sangjin Lee, Yongseok Son","doi":"10.1109/ICOIN50884.2021.9333911","DOIUrl":"https://doi.org/10.1109/ICOIN50884.2021.9333911","url":null,"abstract":"Cloud computing arouses the need for large-scale data processing which in turn promises vigorous developments on distributed file systems. The performance of the underlying storage nodes determines the performance of the overall system. Emerging byte-addressable Non-volatile memories (NVM) are promising techniques that can greatly improve storage performance. Researchers have already investigated NVM or NVMaware file systems to take advantage of the characteristics of NVM. However, previous researchers usually perform the studies based on simulations or emulations. In this paper, we provide an empirical evaluation of NVM-aware file systems on the first commercially available byte-addressable NVM (i.e., the Intel Optane DC Persistent Memory Module (DCPMM)) We first evaluate the performance of Ext4, XFS, F2FS, Ext4-DAX, XFSDAX, and NOVA file systems on DCPMM, Optane SSD, and NVMe SSD. Then we compare them in terms of throughput and different access patterns. Second, we observe how remote NUMA node access and device mapper striping affect the performance of DCPMM. We anticipate that the experimental results and performance analysis will provide the implications on various memory and storage systems.","PeriodicalId":6741,"journal":{"name":"2021 International Conference on Information Networking (ICOIN)","volume":"40 1","pages":"559-564"},"PeriodicalIF":0.0,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77534522","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: 6

An Efficient Driver Selection Algorithm for Controlling Multiple Vehicles in Remote Driving 远程驾驶中多车控制的高效驾驶员选择算法

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9333930

S. Zulqarnain, Sanghwan Lee

{"title":"An Efficient Driver Selection Algorithm for Controlling Multiple Vehicles in Remote Driving","authors":"S. Zulqarnain, Sanghwan Lee","doi":"10.1109/ICOIN50884.2021.9333930","DOIUrl":"https://doi.org/10.1109/ICOIN50884.2021.9333930","url":null,"abstract":"Recently, some researchers consider remote driving as an augmentation of autonomous driving as level four autonomy in which the driver can rest while driving is not likely to be achieved in a near future. Besides functioning as an augmentation to autonomous driving, we consider remote driving as a major component to transform the current transportation system in a more fundamental way. Basically, all the vehicles in an area can be controlled by some remote controllers or drivers so that transportation can be performed in a more efficient way. For example, if a remote controller decides all the routes of the vehicles, the road capacity can be efficiently used so that the vehicles can arrive at the destinations faster. Fuel efficiency can also be achieved by creating a platoon with the vehicles having similar routes. However, one of the biggest challenges in remote driving is the communication latency between the remote driver and the vehicle. Thus, the remote drivers should be within a certain latency limit to avoid any type of safety problem. Actually, in our past work, we have introduced an algorithm called Longest Advance First (LAF) to select the locations of remote drivers for a single vehicle in a single journey. LAF can achieve an optimal selection of drivers in terms of the number of drivers. In this paper, we consider a remote driving framework where multiple vehicles are controlled by remote drivers at the same time. Applying LAF to each route may not be optimal for multiple routes. Thus, we propose a heuristic algorithm that can select locations of remote driving facilities in which remote drivers drive vehicles for multiple routes. Through simulations, we show that the proposed algorithm shows much better performance than applying LAF multiple times.","PeriodicalId":6741,"journal":{"name":"2021 International Conference on Information Networking (ICOIN)","volume":"209 1","pages":"20-23"},"PeriodicalIF":0.0,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80566576","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

Machine Learning Algorithm for Detection of False Data Injection Attack in Power System 电力系统假数据注入攻击检测的机器学习算法

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9333913

Ajit Kumar, N. Saxena, B. Choi

引用次数: 10

Real-Time Recommendation System for Online Broadcasting Advertisement 网络广播广告实时推荐系统

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9333921

Chaeeun Jeong, Seongju Kang, K. Chung

{"title":"Real-Time Recommendation System for Online Broadcasting Advertisement","authors":"Chaeeun Jeong, Seongju Kang, K. Chung","doi":"10.1109/ICOIN50884.2021.9333921","DOIUrl":"https://doi.org/10.1109/ICOIN50884.2021.9333921","url":null,"abstract":"In online broadcasting, users are exposed to advertisements for various items. Traditional advertising systems do not satisfy the expectations of various users because they provide advertisements without considering the characteristics of individuals. Personalized advertisement services can be provided by introducing recommendation algorithms that take account of users’ context and history. However, since the existing recommendation system is based on users’ consumption history, it does not quickly reflect the users’ interests that change according to items appearing in the content. In addition, when the user’s history is sparse, the performance of the recommendation system is degraded. In this paper, we propose a recommendation system for online broadcasting advertisements. The proposed system calculates the similarity between users based on the user’s region of interest (ROI). The user’s preference for the item is predicted by comparing the rating history of similar users. To reduce the time for calculating the similarity between users, a tree-structured user profile model is introduced. Finally, we conduct experiments to evaluate the performance of the proposed advertisement recommendation system.","PeriodicalId":6741,"journal":{"name":"2021 International Conference on Information Networking (ICOIN)","volume":"8 1","pages":"413-416"},"PeriodicalIF":0.0,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87383982","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: 4

Vulnerability Analysis of DID Document’s Updating Process in the Decentralized Identifier Systems 分散标识系统中DID文档更新过程的漏洞分析

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9334011

Min-Hyung Rhie, Kyung-Hoon Kim, Dongyeop Hwang, Ki-Hyung Kim

引用次数: 5

A Traffic Scheduling Mechanism for Industrial Wireless Network Accessing IPv6 Internet 工业无线网络接入IPv6互联网的流量调度机制

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9333936

Min Wei, Xueqin Xiang, Cheng Li

引用次数: 1

Effectiveness of Vicinity-based Content Finding in Mobile NDN Environments 移动NDN环境中基于邻近的内容查找的有效性

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9333948

A. Suwannasa, M. Broadbent, A. Mauthe

引用次数: 3

Proper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach 组合优化问题的适当代价哈密顿设计:布尔函数方法

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9333931

Jaeho Choi, Seunghyeok Oh, Soohyun Park, Jong-Kook Kim, Joongheon Kim

引用次数: 1

Auction-based Deep Learning Computation Offloading for Truthful Edge Computing: A Myerson Auction Approach 基于拍卖的真实边缘计算深度学习计算卸载:Myerson拍卖方法

2021 International Conference on Information Networking (ICOIN) Pub Date : 2021-01-13 DOI: 10.1109/ICOIN50884.2021.9334016

Haemin Lee, Soohyun Park, Junghyun Kim, Joongheon Kim

引用次数: 3