2023 International Conference on Computing, Networking and Communications (ICNC)最新文献_第2页

Evolutionary Algorithm with Phenotype Diversity for Virtual Network Embedding 基于表型多样性的虚拟网络嵌入进化算法

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074545

Tatsuya Otoshi, M. Murata

{"title":"Evolutionary Algorithm with Phenotype Diversity for Virtual Network Embedding","authors":"Tatsuya Otoshi, M. Murata","doi":"10.1109/ICNC57223.2023.10074545","DOIUrl":"https://doi.org/10.1109/ICNC57223.2023.10074545","url":null,"abstract":"With the diversification of applications using the Internet, network virtualization technologies that flexibly allocate network resources are attracting attention. In network virtualization, virtual network embedding is important to properly map the requirements of the virtual network to the physical network. However, it takes time to calculate the solution by optimization, and recalculation of the embedding becomes a problem when the environment of the virtual and physical networks changes. Therefore, a method of having multiple solution candidates in advance and switching the solution depending on the situation is considered, but the design and updating of the solution candidates themselves remain an issue. Such a relationship between solution candidates and solution selection is similar to the relationship between genotype and phenotype in biological evolution, and it is a shortcut to get hints from evolution. In biological evolution, the phenotype searches for short-term practical solutions while the genotype continues to search for optimal solutions. By introducing this mechanism into the network, it is possible to select a quasi-optimal solution in a fluctuating environment while continuing the search for a better solution candidate itself. In this paper, we propose a dynamic virtual network embedding method in which the solution candidates themselves can be dynamically updated based on the evolution of genotype and phenotype. In this method, candidate solutions are encoded as genotypes, and phenotypes are decoded by attractor selection using noise-induced fluctuations. Through evaluation, we show that the attractor selection by individuals leads to the discovery of appropriate solutions faster than when using neural networks.","PeriodicalId":174051,"journal":{"name":"2023 International Conference on Computing, Networking and Communications (ICNC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114410933","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

A Reservation-based Adaptive MAC Protocol for OFDM Physical Layers in Underwater Networks 水下网络OFDM物理层一种基于保留的自适应MAC协议

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074103

Sara Falleni, T. Melodia, S. Basagni

{"title":"A Reservation-based Adaptive MAC Protocol for OFDM Physical Layers in Underwater Networks","authors":"Sara Falleni, T. Melodia, S. Basagni","doi":"10.1109/ICNC57223.2023.10074103","DOIUrl":"https://doi.org/10.1109/ICNC57223.2023.10074103","url":null,"abstract":"The more we understand the importance of the oceans for human well-being and survival, the more research on the Internet of Underwater Things becomes imperative. This prompts us to investigate technologies for underwater communication and networking, namely, technologies that enable the collection of data that are vital for “Blue Economy” applications. Among these technologies, Orthogonal Frequency-Division Multiplexing (OFDM)-extensively used in terrestrial networks- is being considered because of its high spectral efficiency, low inter-symbol interference and fading, and low sensitivity to time synchronization errors. In this paper, we investigate how OFDM physical layers affect protocol design and performance at higher layers of the protocol stack. Particularly, we present a Reservation-based Adaptive MAC (RAMAC) protocol that leverages the capabilities of OFDM physical layers. Using information about channel conditions, RAMAC selects the OFDM frequencies to use on a per-packet basis. We evaluate the performance of RAMAC via DESERT-based simulations on a variety of underwater scenarios with models of real OFDM-enabled underwater acoustic modems. Results show that, especially when outside interference is present (e.g., sonars), RAMAC provides robust data delivery while keeping latency at bay.","PeriodicalId":174051,"journal":{"name":"2023 International Conference on Computing, Networking and Communications (ICNC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114918086","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

Membership Management in Collaborative Intrusion Detection Systems 协同入侵检测系统中的成员管理

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10073989

C. Ezelu, Ulrich Bühler

引用次数: 0

AFFIRM: Privacy-by-Design Blockchain for Mobility Data in Web3 using Information Centric Fog Networks with Collaborative Learning AFFIRM:在Web3中使用以信息为中心的雾网络和协作学习的移动数据的隐私设计区块链

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074160

J. Khan, K. Ozbay

引用次数: 1

ECEA Based Joint Circular Design of Reconfigurable Intelligent Surfaces with Drone During Disaster 基于ECEA的灾后无人机可重构智能曲面联合圆形设计

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074153

S. Newaz, Xingya Liu

{"title":"ECEA Based Joint Circular Design of Reconfigurable Intelligent Surfaces with Drone During Disaster","authors":"S. Newaz, Xingya Liu","doi":"10.1109/ICNC57223.2023.10074153","DOIUrl":"https://doi.org/10.1109/ICNC57223.2023.10074153","url":null,"abstract":"Strong communication networks that can function even in the face of tragedy will be the foundation of contemporary societies. Drone-mounted base stations (DBSs) can assist mobile users quickly by reestablishing connectivity in a disaster-stricken environment. In past decade, numerous drone-based base station studies have been proposed to ensure connectivity, however they are not cost-effective. To improve this, we try to use fewest DBSs possible while increasing coverage area. Since each DBS can only service a certain number of terrestrial users due to coverage limitations, we offer an argument using Multiple Reconfigurable Intelligent Surfaces (RIS) with drones. We employ RIS because, with relatively low deployment costs, it provides coverage expansion, interference reduction, and energy savings. In this study, we propose a circular RIS-assisted single DBS for communications during disaster. In contrast to the conventional DBS model, power loss has not decreased but rather has remained constant in the expanded coverage area. We also derived an optimized distance (DBS to User distance) to achieve the maximum serving area and coverage enhancement has been compared with existing method. An Enhanced Coverage Enrichment Algorithm (ECEA) has been proposed to analyze model. Our research validates the results of our simulation with theoretical discoveries.","PeriodicalId":174051,"journal":{"name":"2023 International Conference on Computing, Networking and Communications (ICNC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125671599","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

Blockchain-enabled Efficient and Secure Federated Learning in IoT and Edge Computing Networks 在物联网和边缘计算网络中支持区块链的高效安全联邦学习

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074277

Ranwa Al Mallah, David López, Talal Halabi

引用次数: 0

Optimal Codes for Distributed Storage 分布式存储的最优代码

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074312

Jian Ren, Jian Li, Tongtong Li

{"title":"Optimal Codes for Distributed Storage","authors":"Jian Ren, Jian Li, Tongtong Li","doi":"10.1109/ICNC57223.2023.10074312","DOIUrl":"https://doi.org/10.1109/ICNC57223.2023.10074312","url":null,"abstract":"Regenerating codes are a class of distributed storage codes that allow for efficient repair of failed nodes, as compared to traditional erasure codes, which enables it to achieve high data reliability, security, and cost-efficiency and a critical infrastructure of the computing system. Existing data storage largely depends on a centralized cloud, which is not only costly but also vulnerable to single points of failure and other types of security attacks. To provide data security, data encryption has to be used, which requires extensive computing power and cumbersome key management. Distributed storage system (DSS) is being widely viewed as a natural solution to future online data storage due to improved access time and lower storage cost. However, the existing DSS also has the limitations of low storage efficiency and lack of data security. In this paper, we investigate multi-layer code-based distributed data storage systems that can achieve inherit content confidentiality and optimal storage efficiency. Our comprehensive shows that the optimal code can improve the reliable data storage by nearly 50% comparing to the existing state-of-art research.","PeriodicalId":174051,"journal":{"name":"2023 International Conference on Computing, Networking and Communications (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130434197","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

Performance Analysis of Fixed Broadband Wireless Access in mmWave Band in 5G 5G毫米波频段固定宽带无线接入性能分析

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074306

S. Banerjee, Sarada Prasad Gochhayat, Sachin Shetty

{"title":"Performance Analysis of Fixed Broadband Wireless Access in mmWave Band in 5G","authors":"S. Banerjee, Sarada Prasad Gochhayat, Sachin Shetty","doi":"10.1109/ICNC57223.2023.10074306","DOIUrl":"https://doi.org/10.1109/ICNC57223.2023.10074306","url":null,"abstract":"An end-to-end fiber-based network has the potential to offer multi-gigabit fixed access to end users. However, a fiber network’s biggest hurdle is delivering that fiber access to the end user. Especially in places where fiber is non-existent, it can be time-consuming and costly to deploy, resulting in Operators experiencing a long delay in realizing a return on their investment.This work investigates transmission data from fixed broadband wireless access in the mmWave band in 5G. With the increasing interest in this domain, it is worth investigating the transmission characteristic of the data and utilizing the same to build more sophisticated capabilities. Existing datasets for the mmWave band are detailed but generated from simulated environments. In this work, we introduce a dataset built from the collection of real-world transmission data from fixed broadband wireless access in mmWave band device(RWM6050). The goal of this data is to enable self-configuration capability based on transmission characteristics. Towards this goal, we present an online machine learning-based approach that can classify transmission characteristics with real-time training. We also present two more advanced temporal models for more accurate classifications. We demonstrate that it is possible to detect the transmission angle and distance directly from the analysis of transmission data with very high accuracy. We achieved up to 99% accuracy on the combined classification task. Finally, we outline some interesting future research scopes based on the collected data.","PeriodicalId":174051,"journal":{"name":"2023 International Conference on Computing, Networking and Communications (ICNC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125368317","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

Ergodic Capacity of the Cloud Radio Access Network: A General Solution 云无线接入网的遍历容量:一种通用解决方案

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074371

Xian Liu

引用次数: 0

Effectiveness and predictability of in-network storage cache for Scientific Workflows 科学工作流网络内存储缓存的有效性和可预测性

2023 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2023-02-20 DOI: 10.1109/ICNC57223.2023.10074058

Caitlin Sim, K. Wu, A. Sim, I. Monga, C. Guok, F. Würthwein, Diego Davila, Harvey Newman, J. Balcas

{"title":"Effectiveness and predictability of in-network storage cache for Scientific Workflows","authors":"Caitlin Sim, K. Wu, A. Sim, I. Monga, C. Guok, F. Würthwein, Diego Davila, Harvey Newman, J. Balcas","doi":"10.1109/ICNC57223.2023.10074058","DOIUrl":"https://doi.org/10.1109/ICNC57223.2023.10074058","url":null,"abstract":"Large scientific collaborations often have multiple scientists accessing the same set of files while doing different analyses, which create repeated accesses to the large amounts of shared data located far away. These data accesses have long latency due to distance and occupy the limited bandwidth available over the wide-area network. To reduce the wide-area network traffic and the data access latency, regional data storage caches have been installed as a new networking service. To study the effectiveness of such a cache system in scientific applications, we examine the Southern California Petabyte Scale Cache for a high-energy physics experiment. By examining about 3TB of operational logs, we show that this cache removed 67.6% of file requests from the wide-area network and reduced the traffic volume on wide-area network by 12. 3TB (or 35.4%) an average day. The reduction in the traffic volume (35.4%) is less than the reduction in file counts (67.6%) because the larger files are less likely to be reused. Due to this difference in data access patterns, the cache system has implemented a policy to avoid evicting smaller files when processing larger files. We also build a machine learning model to study the predictability of the cache behavior. Tests show that this model is able to accurately predict the cache accesses, cache misses, and network throughput, making the model useful for future studies on resource provisioning and planning.","PeriodicalId":174051,"journal":{"name":"2023 International Conference on Computing, Networking and Communications (ICNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122187369","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