Future Internet最新文献_第10页

A Microservices-Based Control Plane for Time-Sensitive Networking 基于微服务的时敏网络控制平面

IF 3.4

Future Internet Pub Date : 2024-04-01 DOI: 10.3390/fi16040120

A. Agustí-Torra, Marc Ferré-Mancebo, Gabriel David Orozco-Urrutia, David Rincón-Rivera, David Remondo

{"title":"A Microservices-Based Control Plane for Time-Sensitive Networking","authors":"A. Agustí-Torra, Marc Ferré-Mancebo, Gabriel David Orozco-Urrutia, David Rincón-Rivera, David Remondo","doi":"10.3390/fi16040120","DOIUrl":"https://doi.org/10.3390/fi16040120","url":null,"abstract":"Time-Sensitive Networking (TSN) aims to provide deterministic communications over Ethernet. The main characteristics of TSN are bounded latency and very high reliability, thus complying with the strict requirements of industrial communications or automotive applications, to name a couple of examples. In order to achieve this goal, TSN defines several scheduling algorithms, among them the Time-Aware Shaper (TAS), which is based on time slots and Gate Control Lists (GCLs). The configuration of network elements to allocate time slots, paths, and GCLs is laborious, and has to be updated promptly and in a dynamic way, as new data flows arrive or disappear. The IEEE 802.1Qcc standard provides the basis to design a TSN control plane to face these challenges, following the Software-Defined Networking (SDN) paradigm. However, most of the current SDN/TSN control plane solutions are monolithic applications designed to run on dedicated servers, and do not provide the required flexibility to escalate when facing increasing service requests. This work presents μTSN-CP, an SDN/TSN microservices-based control plane, based on the 802.1Qcc standard. Our architecture leverages the advantages of microservices, enabling the control plane to scale up or down in response to varying workloads dynamically. We achieve enhanced flexibility and resilience by breaking down the control plane into smaller, independent microservices. The performance of μTSN-CP is evaluated in a real environment with TSN switches, and various integer linear problem solvers, running over different computing platforms.","PeriodicalId":37982,"journal":{"name":"Future Internet","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140773450","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

Research on Secure Community Opportunity Network Based on Trust Model 基于信任模型的安全社区机会网络研究

IF 3.4

Future Internet Pub Date : 2024-04-01 DOI: 10.3390/fi16040121

Bing Su, Jiwu Liang

{"title":"Research on Secure Community Opportunity Network Based on Trust Model","authors":"Bing Su, Jiwu Liang","doi":"10.3390/fi16040121","DOIUrl":"https://doi.org/10.3390/fi16040121","url":null,"abstract":"With the innovation of wireless communication technology and the surge of data in mobile networks, traditional routing strategies need to be improved. Given the shortcomings of existing opportunistic routing strategies in transmission performance and security, this paper proposes a community opportunistic routing decision-making method based on the trust model. This algorithm calculates the node’s trust value through the node’s historical forwarding behavior and then calculates the node’s trust value based on the trust model. Thresholds and trust attenuation divide dynamic security communities. For message forwarding, nodes in the security community are prioritized as next-hop relay nodes, thus ensuring that message delivery is always in a safe and reliable environment. On this basis, better relay nodes are further selected for message forwarding based on the node centrality, remaining cache space, and remaining energy, effectively improving the message forwarding efficiency. Through node trust value and community cooperation, safe and efficient data transmission is achieved, thereby improving the transmission performance and security of the network. Through comparison of simulation and opportunistic network routing algorithms, compared with traditional methods, this strategy has the highest transmission success rate of 81% with slightly increased routing overhead, and this algorithm has the lowest average transmission delay.","PeriodicalId":37982,"journal":{"name":"Future Internet","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140765439","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

Factors Affecting Trust and Acceptance for Blockchain Adoption in Digital Payment Systems: A Systematic Review 影响数字支付系统采用区块链的信任和接受度的因素：系统性综述

IF 3.4

Future Internet Pub Date : 2024-03-21 DOI: 10.3390/fi16030106

Tenzin Norbu, Joo Yeon Park, Kok Wai Wong, Hui Cui

{"title":"Factors Affecting Trust and Acceptance for Blockchain Adoption in Digital Payment Systems: A Systematic Review","authors":"Tenzin Norbu, Joo Yeon Park, Kok Wai Wong, Hui Cui","doi":"10.3390/fi16030106","DOIUrl":"https://doi.org/10.3390/fi16030106","url":null,"abstract":"Blockchain technology has become significant for financial sectors, especially digital payment systems, offering enhanced security, transparency, and efficiency. However, there is limited research on the factors influencing user trust in and acceptance of blockchain adoption in digital payment systems. This systematic review provides insight into the key factors impacting consumers’ perceptions and behaviours towards embracing blockchain technology. A total of 1859 studies were collected, with 48 meeting the criteria for comprehensive analysis. The results showed that security, privacy, transparency, and regulation are the most significant factors influencing trust for blockchain adoption. The most influential factors identified in the Unified Theory of Acceptance and Use of Technology (UTAUT) model include performance expectancy, effort expectancy, social influence, and facilitating conditions. Incorporating a trust and acceptance model could be a viable approach to tackling obstacles and ensuring the successful integration of blockchain technology into digital payment systems. Understanding these factors is crucial for creating a favourable atmosphere for adopting blockchain technology in digital payments. User-perspective research on blockchain adoption in digital payment systems is still insufficient, and this aspect still requires further investigation. Blockchain adoption in digital payment systems has not been sufficiently conducted from the user’s perspective, and there is a scope for it to be carried out. This review aims to shed light on the factors of trust in and acceptance of blockchain adoption in digital payment systems so that the full potential of blockchain technology can be realised. Understanding these factors and their intricate connections is imperative in fostering a conducive environment for the widespread acceptance of blockchain technology in digital payments.","PeriodicalId":37982,"journal":{"name":"Future Internet","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140221721","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

UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning 结合爬行元强化学习和生成式对抗模仿学习的无人机控制方法

IF 3.4

Future Internet Pub Date : 2024-03-20 DOI: 10.3390/fi16030105

Shui Jiang, Yanning Ge, Xu Yang, Wencheng Yang, Hui Cui

{"title":"UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning","authors":"Shui Jiang, Yanning Ge, Xu Yang, Wencheng Yang, Hui Cui","doi":"10.3390/fi16030105","DOIUrl":"https://doi.org/10.3390/fi16030105","url":null,"abstract":"Reinforcement learning (RL) is pivotal in empowering Unmanned Aerial Vehicles (UAVs) to navigate and make decisions efficiently and intelligently within complex and dynamic surroundings. Despite its significance, RL is hampered by inherent limitations such as low sample efficiency, restricted generalization capabilities, and a heavy reliance on the intricacies of reward function design. These challenges often render single-method RL approaches inadequate, particularly in the context of UAV operations where high costs and safety risks in real-world applications cannot be overlooked. To address these issues, this paper introduces a novel RL framework that synergistically integrates meta-learning and imitation learning. By leveraging the Reptile algorithm from meta-learning and Generative Adversarial Imitation Learning (GAIL), coupled with state normalization techniques for processing state data, this framework significantly enhances the model’s adaptability. It achieves this by identifying and leveraging commonalities across various tasks, allowing for swift adaptation to new challenges without the need for complex reward function designs. To ascertain the efficacy of this integrated approach, we conducted simulation experiments within both two-dimensional environments. The empirical results clearly indicate that our GAIL-enhanced Reptile method surpasses conventional single-method RL algorithms in terms of training efficiency. This evidence underscores the potential of combining meta-learning and imitation learning to surmount the traditional barriers faced by reinforcement learning in UAV trajectory planning and decision-making processes.","PeriodicalId":37982,"journal":{"name":"Future Internet","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140227386","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

Using Computer Vision to Collect Information on Cycling and Hiking Trails Users 利用计算机视觉收集自行车道和远足径使用者的信息

IF 3.4

Future Internet Pub Date : 2024-03-20 DOI: 10.3390/fi16030104

Joaquim Miguel, Pedro Mendonça, Agnelo Quelhas, J. M. L. P. Caldeira, Vasco N. G. J. Soares

引用次数: 0

Intelligent Resource Orchestration for 5G Edge Infrastructures 面向 5G 边缘基础设施的智能资源协调

IF 3.4

Future Internet Pub Date : 2024-03-19 DOI: 10.3390/fi16030103

R. Moreno-Vozmediano, R. Montero, E. Huedo, I. Llorente

{"title":"Intelligent Resource Orchestration for 5G Edge Infrastructures","authors":"R. Moreno-Vozmediano, R. Montero, E. Huedo, I. Llorente","doi":"10.3390/fi16030103","DOIUrl":"https://doi.org/10.3390/fi16030103","url":null,"abstract":"The adoption of edge infrastructure in 5G environments stands out as a transformative technology aimed at meeting the increasing demands of latency-sensitive and data-intensive applications. This research paper presents a comprehensive study on the intelligent orchestration of 5G edge computing infrastructures. The proposed Smart 5G Edge-Cloud Management Architecture, built upon an OpenNebula foundation, incorporates a ONEedge5G experimental component, which offers intelligent workload forecasting and infrastructure orchestration and automation capabilities, for optimal allocation of virtual resources across diverse edge locations. The research evaluated different forecasting models, based both on traditional statistical techniques and machine learning techniques, comparing their accuracy in CPU usage prediction for a dataset of virtual machines (VMs). Additionally, an integer linear programming formulation was proposed to solve the optimization problem of mapping VMs to physical servers in distributed edge infrastructure. Different optimization criteria such as minimizing server usage, load balancing, and reducing latency violations were considered, along with mapping constraints. Comprehensive tests and experiments were conducted to evaluate the efficacy of the proposed architecture.","PeriodicalId":37982,"journal":{"name":"Future Internet","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140229317","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

UP-SDCG: A Method of Sensitive Data Classification for Collaborative Edge Computing in Financial Cloud Environment UP-SDCG：一种用于金融云环境中协作边缘计算的敏感数据分类方法

IF 3.4

Future Internet Pub Date : 2024-03-18 DOI: 10.3390/fi16030102

Lijun Zu, Wenyu Qi, Hongyi Li, Xiaohua Men, Zhihui Lu, Jiawei Ye, Liang Zhang

{"title":"UP-SDCG: A Method of Sensitive Data Classification for Collaborative Edge Computing in Financial Cloud Environment","authors":"Lijun Zu, Wenyu Qi, Hongyi Li, Xiaohua Men, Zhihui Lu, Jiawei Ye, Liang Zhang","doi":"10.3390/fi16030102","DOIUrl":"https://doi.org/10.3390/fi16030102","url":null,"abstract":"The digital transformation of banks has led to a paradigm shift, promoting the open sharing of data and services with third-party providers through APIs, SDKs, and other technological means. While data sharing brings personalized, convenient, and enriched services to users, it also introduces security risks, including sensitive data leakage and misuse, highlighting the importance of data classification and grading as the foundational pillar of security. This paper presents a cloud-edge collaborative banking data open application scenario, focusing on the critical need for an accurate and automated sensitive data classification and categorization method. The regulatory outpost module addresses this requirement, aiming to enhance the precision and efficiency of data classification. Firstly, regulatory policies impose strict requirements concerning data protection. Secondly, the sheer volume of business and the complexity of the work situation make it impractical to rely on manual experts, as they incur high labor costs and are unable to guarantee significant accuracy. Therefore, we propose a scheme UP-SDCG for automatically classifying and grading financially sensitive structured data. We developed a financial data hierarchical classification library. Additionally, we employed library augmentation technology and implemented a synonym discrimination model. We conducted an experimental analysis using simulation datasets, where UP-SDCG achieved precision surpassing 95%, outperforming the other three comparison models. Moreover, we performed real-world testing in financial institutions, achieving good detection results in customer data, supervision, and additional in personally sensitive information, aligning with application goals. Our ongoing work will extend the model’s capabilities to encompass unstructured data classification and grading, broadening the scope of application.","PeriodicalId":37982,"journal":{"name":"Future Internet","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140232602","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

Edge and Fog Computing for the Internet of Things 面向物联网的边缘和雾计算

IF 3.4

Future Internet Pub Date : 2024-03-16 DOI: 10.3390/fi16030101

A. Pozzebon

引用次数: 0

Application Scenarios of Digital Twins for Smart Crop Farming through Cloud–Fog–Edge Infrastructure 通过云-雾-边基础设施实现智能作物耕作的数字孪生应用场景

IF 3.4

Future Internet Pub Date : 2024-03-16 DOI: 10.3390/fi16030100

Y. Kalyani, Liam Vorster, Rebecca Whetton, Rem Collier

{"title":"Application Scenarios of Digital Twins for Smart Crop Farming through Cloud–Fog–Edge Infrastructure","authors":"Y. Kalyani, Liam Vorster, Rebecca Whetton, Rem Collier","doi":"10.3390/fi16030100","DOIUrl":"https://doi.org/10.3390/fi16030100","url":null,"abstract":"In the last decade, digital twin (DT) technology has received considerable attention across various domains, such as manufacturing, smart healthcare, and smart cities. The digital twin represents a digital representation of a physical entity, object, system, or process. Although it is relatively new in the agricultural domain, it has gained increasing attention recently. Recent reviews of DTs show that this technology has the potential to revolutionise agriculture management and activities. It can also provide numerous benefits to all agricultural stakeholders, including farmers, agronomists, researchers, and others, in terms of making decisions on various agricultural processes. In smart crop farming, DTs help simulate various farming tasks like irrigation, fertilisation, nutrient management, and pest control, as well as access real-time data and guide farmers through ‘what-if’ scenarios. By utilising the latest technologies, such as cloud–fog–edge computing, multi-agent systems, and the semantic web, farmers can access real-time data and analytics. This enables them to make accurate decisions about optimising their processes and improving efficiency. This paper presents a proposed architectural framework for DTs, exploring various potential application scenarios that integrate this architecture. It also analyses the benefits and challenges of implementing this technology in agricultural environments. Additionally, we investigate how cloud–fog–edge computing contributes to developing decentralised, real-time systems essential for effective management and monitoring in agriculture.","PeriodicalId":37982,"journal":{"name":"Future Internet","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140236724","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

Efficient and Secure Distributed Data Storage and Retrieval Using Interplanetary File System and Blockchain 利用星际文件系统和区块链实现高效安全的分布式数据存储和检索

IF 3.4

Future Internet Pub Date : 2024-03-15 DOI: 10.3390/fi16030098

Muhammad Bin Saif, Sara Migliorini, Fausto Spoto

引用次数: 0