2023 International Conference on Information Networking (ICOIN)最新文献_第8页

Multi-Keyword Based Information Routing in Peer-to-Peer Networks 对等网络中基于多关键字的信息路由

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10049045

H. Tran, Miao Miao, F. Bastani, I. Yen

{"title":"Multi-Keyword Based Information Routing in Peer-to-Peer Networks","authors":"H. Tran, Miao Miao, F. Bastani, I. Yen","doi":"10.1109/ICOIN56518.2023.10049045","DOIUrl":"https://doi.org/10.1109/ICOIN56518.2023.10049045","url":null,"abstract":"IoT devices are dispersed over the edge of the Internet and, naturally, so does the IoT data. As we know, data are valuable resources and sharing of these IoT data has many benefits. Correspondingly, we develop the peer-to-peer information centric routing (P2PICR) solution to enable the discovery of IoT data sources and, subsequently, facilitate sharing of the IoT data on the edge.In P2PICR, keywords are used to index the routing tables to support search query routing toward annotated information sources. Though many DHT (distributed hash table) based solutions have been developed for managing p2p data, they are not suitable for IoT data sources. Thus, we consider the unstructured p2p routing as the basis for P2PICR. However, due to the large keyword space for specifying the IoT data sources, the p2p routing table has the potential of high space overhead. Thus, we develop a routing table space reduction scheme to significantly reduce the space requirement for the keyword-based routing tables. The routing table size reduction scheme is based on keyword summarization, which extends the IP address summarization technique adopted in IP routing tables, but keyword summarization is far more challenging than IP summarization. Compared to the conventional unstructured p2p routing in which the keyword-indexed routing table entries are cached and being elicited when the routing table is full, our summarization scheme instead compress the entries to retain its information for guiding the routing process.We conducted experimental studies and the results show that P2PICR achieves 20-30 times of routing table size reduction when compared to the case of without summarization and achieves 2-3 times communication cost reduction when compared with cache based solutions under the same table size.","PeriodicalId":285763,"journal":{"name":"2023 International Conference on Information Networking (ICOIN)","volume":"12 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133051052","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

A Dynamic Scheduling Technique to Optimize Energy Consumption by Ductless-split ACs 无导管分路空调能耗优化的动态调度技术

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10048941

Keshav Kaushik, Prabhutva Agrawal, Vinayak S. Naik

{"title":"A Dynamic Scheduling Technique to Optimize Energy Consumption by Ductless-split ACs","authors":"Keshav Kaushik, Prabhutva Agrawal, Vinayak S. Naik","doi":"10.1109/ICOIN56518.2023.10048941","DOIUrl":"https://doi.org/10.1109/ICOIN56518.2023.10048941","url":null,"abstract":"The cooling systems contribute to 40% of overall building energy consumption. Each building has different cooling requirements based on its usage. There are two types of cooling systems, a ducted-centralized cooling system, and a ductless-split cooling system. To optimize the energy consumption of the ductless-split cooling system, we propose a Cooling-System Linear-Scheduling Algorithm (CLA). Besides optimizing, our technique satisfies two constraints, (a) maintaining the desired temperature in the entire room and (b) not executing any cooling system unit for a longer duration to increase its lifespan.We compare the energy savings by CLA with two techniques, the execution of all the ACs (AA) and a greedy algorithm (GA). AA maintains the desired temperature with the least deviation. The energy savings by GA serves as a benchmark as it consumes the least possible energy. The heat sources and external environment remain the same in a real-world environment. We use simulation to evaluate our proposed CLA with different external environments and heat sources. In a real-world setting, CLA saves up to 62% of energy compared to the cooling system’s execution when all the ACs are working. It saves up to 85% of energy consumption in the simulation environment. For real-world and simulation settings, CLA consumes the same energy as GA, which is the optimum. However, GA does not satisfy the second constraint of improving the lifespan of ACs. In both settings, CLA matches the desired temperature similar to that of AA and better than that of GA.","PeriodicalId":285763,"journal":{"name":"2023 International Conference on Information Networking (ICOIN)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121869831","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

Forecasting SDN End-to-End Latency Using Graph Neural Network 基于图神经网络的SDN端到端延迟预测

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10048915

Zhun Ge, Jiacheng Hou, A. Nayak

引用次数: 1

A Design of Service Mesh Based 5G Core Network Using Cilium 基于Cilium的业务网格5G核心网设计

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10049044

Van-Binh Duong, Younghan Kim

引用次数: 2

ParaNet: A Single Blocked Network for Mobile Edge Computing Devices paret:移动边缘计算设备的单一阻塞网络

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10048960

Sharmen Akhter, Md. Imtiaz Hossain, M. Hossain, C. Hong, E. Huh

{"title":"ParaNet: A Single Blocked Network for Mobile Edge Computing Devices","authors":"Sharmen Akhter, Md. Imtiaz Hossain, M. Hossain, C. Hong, E. Huh","doi":"10.1109/ICOIN56518.2023.10048960","DOIUrl":"https://doi.org/10.1109/ICOIN56518.2023.10048960","url":null,"abstract":"Nowadays, deep learning-based approaches have achieved significant performances in diverse applications. However, due to having millions of parameters and higher complexity, these high-performing architectures are not suitable to be deployed in edge devices, the Internet of Things (IoT), Vehicular edge computing, and microservices-based real-time applications. Though numerous approaches have proposed lightweight architectures to reduce required computational resources, there are still some concerns about latency, execution, and response time. To the best of our knowledge, no prior works have considered reorganizing the sequential blocks into parallel forward propagation i.e, converting sequential forward propagation into parallel forward propagation. In this paper, instead of reducing the time required by the network for end-to-end sequential execution, we propose a novel technique to obtain a parallel network called ParaNet to minimize the execution time by paralleling the network. Firstly, we dissect a CNN block-wise where all the blocks are deployed parallelly to construct ParaNet. Each block is treated as an individual network and can be deployed into different low computational edge devices for parallel processing. To further improve the performances we deploy the knowledge distillation technique into each ParaNet version. Our proposed method offers state-of-the-art results using low computational resources with very low execution delay compared to the corresponding baseline architectures. Our extensive analysis and results express the superiority of the ParaNet regarding both accuracy and execution time.","PeriodicalId":285763,"journal":{"name":"2023 International Conference on Information Networking (ICOIN)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124364753","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

Applying of Websocket and WebRTC for Video Calling in Telemedicine during COVID-19 Pandemic Websocket和webbrtc在COVID-19大流行期间远程医疗视频通话中的应用

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10048899

K. Namee, Peerapon Sawatdee, Nanthawad Promsorn, Siwalai Chinchua, A. Meny, Supeeti Kulchan

引用次数: 0

Integrating Machine Learning for Network Threat Detection with SmartX Multi-Sec Framework 集成机器学习网络威胁检测与SmartX多秒框架

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10049012

Talaya Farasat, Muhammad Ahmad Rathore, JongWon Kim

{"title":"Integrating Machine Learning for Network Threat Detection with SmartX Multi-Sec Framework","authors":"Talaya Farasat, Muhammad Ahmad Rathore, JongWon Kim","doi":"10.1109/ICOIN56518.2023.10049012","DOIUrl":"https://doi.org/10.1109/ICOIN56518.2023.10049012","url":null,"abstract":"Security is an essential element for the effective operation of modern network infrastructures. OF@TEIN playground over TEIN (Trans-Eurasia Information Network), is a multi-site cloud with distributed edge nodes has brought the security challenges. In order to address the security challenges of distributed edge nodes, recently, SmartX Multi-Sec framework has been launched. However, it is based on a signature-based network threat detection mechanism. Depending on the current complex and heterogeneous nature of network traffic which is continuously increasing in scale, machine learning capabilities are more effective to recognize hidden and complex patterns of network traffic than traditional signature-based methods. Moreover, in response to the weaknesses of current security solutions, the zero-trust model manipulates that no network is reliable. Therefore, cloud operators should monitor and verify all network traffic continuously. So, by considering the above challenges, we are going to enhance the SmartX Multi-Sec framework by focusing on zero trust and incorporating machine learning techniques for network threat detection (specifically DDoS attacks). Moreover, its prototype version has been realized on the OF@TEIN playground to show its effectiveness.","PeriodicalId":285763,"journal":{"name":"2023 International Conference on Information Networking (ICOIN)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116044954","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

IoT Gateways Network Communication Analysis 物联网网关网络通信分析

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10049047

Jan Zbořil, Ondřej Hujňák, K. Malinka

引用次数: 2

Trajectory Optimization of Multiple Urban Air Mobility for Reliable Communications with Integrated Space-Air-Ground Network 面向天空地一体化网络可靠通信的多城市空中机动轨迹优化

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10048981

Y. Park, Kitae Kim, Seong-Bae Park, C. Hong

{"title":"Trajectory Optimization of Multiple Urban Air Mobility for Reliable Communications with Integrated Space-Air-Ground Network","authors":"Y. Park, Kitae Kim, Seong-Bae Park, C. Hong","doi":"10.1109/ICOIN56518.2023.10048981","DOIUrl":"https://doi.org/10.1109/ICOIN56518.2023.10048981","url":null,"abstract":"In smart cities where the supply of personal vehicles and buildings is intensively constructed, overload and traffic jams sometimes occur. At this time, Urban Air Mobility (UAM) can provide unmanned services such as delivery or taxis regardless of ground infrastructure. However, if there is a problem with the remote control or communication of UAM, there is a serious risk that can cause a lot of casualties immediately. Therefore, optimizing the trajectory of UAMs to avoid collisions between UAMs and ensure reliable communication is necessary. On the other hand, communication through satellites such as Starlink has the advantage of having wide coverage, so satellites can support communication services in areas where communication infrastructure is insufficient. Thus, in this paper, reliable communication of UAMs is funded through the satellite-air-terrestrial integrated network. At this time, each UAM considers the location of the communication infrastructure and other UAMs, avoids collisions, and derives a trajectory for reliable communication. We proposed an algorithm based on proximal policy optimization (PPO) to derive the optimal trajectory of UAMs in a short time. As a result of the experiment, UAMs can avoid collisions with other UAMs and simultaneously receive a reliable communication service.","PeriodicalId":285763,"journal":{"name":"2023 International Conference on Information Networking (ICOIN)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124211544","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

Accelerating convergence in wireless federated learning by sharing marginal data 通过共享边缘数据加速无线联合学习的收敛

2023 International Conference on Information Networking (ICOIN) Pub Date : 2023-01-11 DOI: 10.1109/ICOIN56518.2023.10048937

Eunil Seo, Vinh Pham, E. Elmroth

{"title":"Accelerating convergence in wireless federated learning by sharing marginal data","authors":"Eunil Seo, Vinh Pham, E. Elmroth","doi":"10.1109/ICOIN56518.2023.10048937","DOIUrl":"https://doi.org/10.1109/ICOIN56518.2023.10048937","url":null,"abstract":"Deploying federated learning (FL) over wireless mobile networks can be expensive because of the cost of wireless communication resources. Efforts have been made to reduce communication costs by accelerating model convergence, leading to the development of model-driven methods based on feature extraction, model-integrated algorithms, and client selection. However, the resulting performance gains are limited by the dependence of neural network convergence on input data quality. This work, therefore, investigates the use of marginal shared data (e.g., a single data entry) to accelerate model convergence and thereby reduce communication costs in FL. Experimental results show that sharing even a single piece of data can improve performance by 14.6% and reduce communication costs by 61.13% when using the federated averaging algorithm (FedAvg). Marginal data sharing could therefore be an attractive and practical solution in privacy-flexible environments or collaborative operational systems such as fog robotics and vehicles. Moreover, by assigning new labels to the shared data, it is possible to extend the number of classifying labels of an FL model even when the initial input datasets lack the labels in question.","PeriodicalId":285763,"journal":{"name":"2023 International Conference on Information Networking (ICOIN)","volume":"890 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123250129","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