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Journal articles on the topic 'Edge Networking'

Author: Grafiati

Published: 16 November 2024

Last updated: 31 July 2025

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1

Adams, Robert. "Data Networking: A Competitive Edge." Industrial Management & Data Systems 86, no. 5/6 (1986): 13–15. http://dx.doi.org/10.1108/eb057441.

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Gudhka, Drashti. "Computer Network." International Journal for Research in Applied Science and Engineering Technology 12, no. 1 (2024): 78–87. http://dx.doi.org/10.22214/ijraset.2024.57862.

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Abstract: This paper presents a comprehensive overview of computer networking, covering fundamental concepts and modern advancements. It explores core networking principles, including models, architectures, and essential layers. Emphasising contemporary trends, it delves into topics like network security (Zero Trust Architecture, AI/ML), Software-Defined Networking (SDN), IoT security challenges, 5G and Mobile Edge Computing (MEC), network performance optimisation, Big Data analytics, and eco-friendly networking strategies. Aimed at students, researchers, and professionals, this overview serve

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Xin, Jing, and Jia Pin Xu. "Based on Edge Node Network Service Recognition Research." Applied Mechanics and Materials 55-57 (May 2011): 1473–78. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1473.

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At present, the recognition ability of the service recognition technique is limited to single installation. It leads to recognition error easily and it's dangerous for the Next Generation Networks which depend on service recognition and control. This paper is based on TCP/IP architecture. With the studying of the present service recognition techniques, a model of networking service recognition system based on edge node is designed. And using the modeling recognition method, the information exchange among recognition nodes, and the second recognition, dynamic recognition of networking service f

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Domet, Jack J., T. M. Rajkumar Domet, and David Yen. "MULTIMEDIA NETWORKING A Leading-Edge Communication Technology." Information Systems Management 11, no. 4 (1994): 39–45. http://dx.doi.org/10.1080/07399019408964669.

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5

Shiwen Mao, Y. T. Hou, and Min-You Wu. "Exploiting edge capability for wireless sensor networking." IEEE Wireless Communications 15, no. 4 (2008): 67–73. http://dx.doi.org/10.1109/mwc.2008.4599223.

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Prieto, Javier, and Ramón J. Durán Barroso. "Emerging Technologies in Edge Computing and Networking." Sensors 24, no. 4 (2024): 1271. http://dx.doi.org/10.3390/s24041271.

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The global evolution of the Internet is experiencing a notable and inevitable change towards a convergent scenario known as the Internet of Things (IoT), where a large number of devices with heterogeneous characteristics and requirements have to be interconnected to serve different verticals, such as smart cities, intelligent transportation systems, smart grids, (ITS) or e-health [...]

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Thilak Raj Surendra Babu. "Advancing Edge Computing: A Technical Analysis of Lightweight Network Virtualization." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 1089–96. https://doi.org/10.32996/jcsts.2025.7.4.123.

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This technical analysis examines a novel lightweight network virtualization architecture specifically designed for resource-constrained edge environments. As computational resources increasingly shift toward network edges, traditional virtualization approaches optimized for well-resourced data centers face fundamental limitations when deployed in edge scenarios. The architecture addresses these challenges through several innovative approaches: distributing decision-making capabilities to edge nodes with local caching mechanisms, implementing streamlined packet processing pipelines, employing d

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Wang, Dan, Fangming Liu, Wei Bao, et al. "Editorial of CCF transactions on networking: special issue on edge computing and networking." CCF Transactions on Networking 2, no. 1 (2019): 1–3. http://dx.doi.org/10.1007/s42045-019-00017-7.

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Mastorakis, Spyridon, Abderrahmen Mtibaa, Jonathan Lee, and Satyajayant Misra. "ICedge: When Edge Computing Meets Information-Centric Networking." IEEE Internet of Things Journal 7, no. 5 (2020): 4203–17. http://dx.doi.org/10.1109/jiot.2020.2966924.

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Wei, Hung-Yu, Tao Zhang, T. Russell Hsing, and Doug Zuckerman. "Future Trends in Fog/Edge Computing and Networking." IEEE Communications Magazine 61, no. 12 (2023): 38–39. http://dx.doi.org/10.1109/mcom.2023.10375689.

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Ros, Seyha, Prohim Tam, Inseok Song, Seungwoo Kang, and Seokhoon Kim. "A survey on state-of-the-art experimental simulations for privacy-preserving federated learning in intelligent networking." Electronic Research Archive 32, no. 2 (2024): 1333–64. http://dx.doi.org/10.3934/era.2024062.

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<abstract> <p>Federated learning (FL) provides a collaborative framework that enables intelligent networking devices to train a shared model without the need to share local data. FL has been applied in communication networks, which offers the dual advantage of preserving user privacy and reducing communication overhead. Networking systems and FL are highly complementary. Networking environments provide critical support for data acquisition, edge computing capabilities, round communication/connectivity, and scalable topologies. In turn, FL can leverage capabilities to achieve learni

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Chen, Junhua, Chenggen Pu, Ping Wang, Xueda Huang, and Yanfei Liu. "A blockchain-based scheme for edge–edge collaboration management in time-sensitive networking." Journal of King Saud University - Computer and Information Sciences 36, no. 1 (2024): 101902. http://dx.doi.org/10.1016/j.jksuci.2023.101902.

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Dong, Jian, Bin Chen, Pengfei Zhang, et al. "Evolution Model of Spatial Interaction Network in Online Social Networking Services." Entropy 21, no. 4 (2019): 434. http://dx.doi.org/10.3390/e21040434.

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The development of online social networking services provides a rich source of data of social networks including geospatial information. More and more research has shown that geographical space is an important factor in the interactions of users in social networks. In this paper, we construct the spatial interaction network from the city level, which is called the city interaction network, and study the evolution mechanism of the city interaction network formed in the process of information dissemination in social networks. A network evolution model for interactions among cities is established

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Li, Zhiyuan, and Ershuai Peng. "Software-Defined Optimal Computation Task Scheduling in Vehicular Edge Networking." Sensors 21, no. 3 (2021): 955. http://dx.doi.org/10.3390/s21030955.

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With the development of smart vehicles and various vehicular applications, Vehicular Edge Computing (VEC) paradigm has attracted from academic and industry. Compared with the cloud computing platform, VEC has several new features, such as the higher network bandwidth and the lower transmission delay. Recently, vehicular computation-intensive task offloading has become a new research field for the vehicular edge computing networks. However, dynamic network topology and the bursty computation tasks offloading, which causes to the computation load unbalancing for the VEC networking. To solve this

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Mukherjee, Debangshu, Kevin M. Roccapriore, Anees Al-Najjar, et al. "A Roadmap for Edge Computing Enabled Automated Multidimensional Transmission Electron Microscopy." Microscopy Today 30, no. 6 (2022): 10–19. http://dx.doi.org/10.1017/s1551929522001286.

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Abstract:The advent of modern, high-speed electron detectors has made the collection of multidimensional hyperspectral transmission electron microscopy datasets, such as 4D-STEM, a routine. However, many microscopists find such experiments daunting since analysis, collection, long-term storage, and networking of such datasets remain challenging. Some common issues are their large and unwieldy size that often are several gigabytes, non-standardized data analysis routines, and a lack of clarity about the computing and network resources needed to utilize the electron microscope. The existing comp

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Deng, Der-Jiunn, Shao-Yu Lien, Chun-Cheng Lin, Shao-Chou Hung, and Wei-Bo Chen. "Latency Control in Software-Defined Mobile-Edge Vehicular Networking." IEEE Communications Magazine 55, no. 8 (2017): 87–93. http://dx.doi.org/10.1109/mcom.2017.1601165.

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Ergen, Mustafa, Feride Inan, Onur Ergen, et al. "Edge on Wheels With OMNIBUS Networking for 6G Technology." IEEE Access 8 (2020): 215928–42. http://dx.doi.org/10.1109/access.2020.3038233.

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Ahmed, Ejaz, Muhammad Imran, Albert Y. Zomaya, Ammar Rayes, Joel J. P. C. Rodrigues, and Wael Guibene. "Enabling Wireless Communications and Networking Technologies of Edge Computing." IEEE Communications Magazine 56, no. 9 (2018): 94–95. http://dx.doi.org/10.1109/mcom.2018.8466362.

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Su, Xin, Leilei Meng, and Jun Huang. "Intelligent Maritime Networking With Edge Services and Computing Capability." IEEE Transactions on Vehicular Technology 69, no. 11 (2020): 13606–20. http://dx.doi.org/10.1109/tvt.2020.3015751.

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Fan, Zhenyu, Wang Yang, Fan Wu, Jing Cao, and Weisong Shi. "Serving at the Edge: An Edge Computing Service Architecture Based on ICN." ACM Transactions on Internet Technology 22, no. 1 (2022): 1–27. http://dx.doi.org/10.1145/3464428.

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Different from cloud computing, edge computing moves computing away from the centralized data center and closer to the end-user. Therefore, with the large-scale deployment of edge services, it becomes a new challenge of how to dynamically select the appropriate edge server for computing requesters based on the edge server and network status. In the TCP/IP architecture, edge computing applications rely on centralized proxy servers to select an appropriate edge server, which leads to additional network overhead and increases service response latency. Due to its powerful forwarding plane, Informa

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Smeliansky, Ruslan L. "Hierarchical Edge Computing." Modeling and Analysis of Information Systems 26, no. 1 (2019): 146–69. http://dx.doi.org/10.18255/1818-1015-2019-1-146-169.

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The computing paradigm based on the giant-like DC is replaced by a new paradigm. The urgency of this shift is caused by the requirements of new applications that actively use video, real-time interactivity, new mobile communication technologies, which today cannot be implemented without the usage of cloud computing and virtualization based on SDN&NFV technologies. The presentation considers the requirements dictated by these applications, outlines the architecture of this new paradigm which we call Hierarchical Edge Computing (HEC). Attention is focused on the fact that all these applicati

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Harmatos, János, and Markosz Maliosz. "Architecture Integration of 5G Networks and Time-Sensitive Networking with Edge Computing for Smart Manufacturing." Electronics 10, no. 24 (2021): 3085. http://dx.doi.org/10.3390/electronics10243085.

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Digitalization and networking are taking on an increasingly important role in manufacturing. Fifth Generation mobile networks (5G) allow us to wirelessly connect multiple assets in factories with guaranteed quality of service (QoS). A 5G non-public network (5G-NPN) realizes a dedicated network with secure communication within the factory. Time-sensitive networking (TSN) provides deterministic connectivity and reliability in local networks. Edge computing moves computing power near factory locations, reducing the latency of edge applications. Making production processes more flexible, more robu

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Hu, Qing, Chengming Li, Touhidul Hasan, Chengjun Li, and Qingshan Jiang. "A collaborative caching strategy in contentcentric networking." MATEC Web of Conferences 189 (2018): 03018. http://dx.doi.org/10.1051/matecconf/201818903018.

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Content-centric Networking (CCN) is one of the most promising network architectures for the future Internet. In-network caching is an attractive feature of CCN, however, the existing research does not consider the off-path nodes, or gives a large communication overhead for cooperation, which makes the caching utilization lower, and hard to achieve comprehensive performance optimization. To reduce the data redundancy and improve the caching utilization, we propose a Regional Hashing Collaborative Caching Strategy (RHCCS). According to calculate the importance of nodes in the network topology, w

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24

Chen, Junhua, Chenggen Pu, Ping Wang, Xueda Huang, Yan Zhang, and Yanfei Liu. "Multitask Offloading Strategy for Edge Computing in Time-Sensitive Networking." Mobile Information Systems 2022 (December 30, 2022): 1–17. http://dx.doi.org/10.1155/2022/1750192.

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Edge computing is a creative computing paradigm that enhances the computing capacity of the edge device close to the data source. As the key technology of edge computing, task offloading, which can improve the response speed and the stability of the network system, has attracted much attention and has been applied in many network scenarios. However, few studies have considered the application of task offloading in time-sensitive networking (TSN), which is a promising technology that has the potential to guarantee data delivery with bounded latency and low jitter. To this end, we establish a ta

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Hu, Shaoliu, Yueping Cai, Shengkai Wang, and Xiao Han. "Enhanced FRER Mechanism in Time-Sensitive Networking for Reliable Edge Computing." Sensors 24, no. 6 (2024): 1738. http://dx.doi.org/10.3390/s24061738.

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Time-Sensitive Networking (TSN) and edge computing are promising networking technologies for the future of the Industrial Internet. TSN provides a reliable and deterministic low-latency communication service for edge computing. The Frame Replication and Elimination for Reliability (FRER) mechanism is important for improving the network reliability of TSN. It achieves high reliability by transmitting identical frames in parallel on two disjoint paths, while eliminating duplicated frames at the destination node. However, there are two problems with the FRER mechanism. One problem is that it does

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26

Gauresh Dilip Vanjare. "Telco Edge Architecture for Deterministic Experience: A Research-Driven Analysis." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 362–75. https://doi.org/10.32996/jcsts.2025.7.5.46.

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Telecommunications networks are evolving from connectivity providers to computational platforms supporting mission-critical applications that demand deterministic performance guarantees. Traditional cloud architectures introduce unpredictability through centralization, while edge computing offers a solution by positioning resources closer to users and data sources. This article examines how telco edge architectures deliver deterministic networking capabilities through architectural components, deployment strategies, and performance characteristics. The integration of Multi-access Edge Computin

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27

Phelps, Nick, Donald M. McNeill, and N. Parsons. "IN SEARCH OF A EUROPEAN EDGE URBAN IDENTITY: TRANS-EUROPEAN NETWORKING AMONG EDGE URBAN MUNICIPALITIES." European Urban and Regional Studies 9, no. 3 (2002): 211–24. http://dx.doi.org/10.1177/0967642002009003034.

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28

Zeydan, Engin, Ejder Bastug, Mehdi Bennis, et al. "Big data caching for networking: moving from cloud to edge." IEEE Communications Magazine 54, no. 9 (2016): 36–42. http://dx.doi.org/10.1109/mcom.2016.7565185.

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Wang, An, Zili Zha, Yang Guo, and Songqing Chen. "Software-Defined Networking Enhanced Edge Computing: A Network-Centric Survey." Proceedings of the IEEE 107, no. 8 (2019): 1500–1519. http://dx.doi.org/10.1109/jproc.2019.2924377.

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Zhao, Yongli, Wei Wang, Yajie Li, Carlos Colman Meixner, Massimo Tornatore, and Jie Zhang. "Edge Computing and Networking: A Survey on Infrastructures and Applications." IEEE Access 7 (2019): 101213–30. http://dx.doi.org/10.1109/access.2019.2927538.

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31

Gilchrist, A. "The well-connected community: networking to the edge of chaos." Community Development Journal 35, no. 3 (2000): 264–75. http://dx.doi.org/10.1093/cdj/35.3.264.

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Ahmadi, Kaveh, S. Pourya Miralavy, and Mona Ghassemian. "Software-defined networking to improve handover in mobile edge networks." International Journal of Communication Systems 33, no. 14 (2020): e4510. http://dx.doi.org/10.1002/dac.4510.

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33

Chen, Sian, and Linqiang Tang. "Flexible English Learning Platform using Collaborative Cloud-Fog-Edge Networking." Scalable Computing: Practice and Experience 24, no. 3 (2023): 339–54. http://dx.doi.org/10.12694/scpe.v24i3.2224.

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In the modern age, developing practical online learning tools for English language learners is challenging due to existing systems’ shortcomings. These systems often need proper instructional design, are well-connected to motivational theories, and have limited infrastructure for data sharing, leading to poor learning outcomes and low motivation. To tackle these issues, a new approach called OAELT has been proposed in this paper. OAELT is an Online Assisted English Learning Tool that uses the Fuzzy Analytical Hierarchy Process (FAHP) and collaborative cloud-fog-edge networking to create a flex

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Goshi, Nosheen, Sohail Zafar, Tabasam Rashid, and Juan L. G. Guirao. "A Combinatorial Approach to the Computation of the Fractional Edge Dimension of Graphs." Mathematics 9, no. 19 (2021): 2364. http://dx.doi.org/10.3390/math9192364.

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E. Yi recently introduced the fractional edge dimension of graphs. It has many applications in different areas of computer science such as in sensor networking, intelligent systems, optimization, and robot navigation. In this paper, the fractional edge dimension of vertex and edge transitive graphs is calculated. The class of hypercube graph Qn with an odd number of vertices n is discussed. We propose the combinatorial criterion for the calculation of the fractional edge dimension of a graph, and hence applied it to calculate the fractional edge dimension of the friendship graph Fk and the cla

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Zhao, Luo, Shunli Han, and Junfeng Zhu. "WiFi Channel Modeling Method in Industrial Wireless Network Scenarios." Computer Life 13, no. 2 (2025): 12–14. https://doi.org/10.54097/sqgk9y61.

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As an important support for the intelligent manufacturing system, the industrial Internet is the cornerstone of the comprehensive interconnection of people, machines and things. Compared with other networking technologies, Wi-Fi has advantages such as high rate, low cost and a large number of compatible devices. It is an ideal choice for networking in industrial environments. However, its networking quality mainly depends on signal coverage and the provided throughput. With the rise of mobile edge computing that relies on high-throughput data transmission such as video streams, new challenges

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George, Sherron Kay. "Local-Global Mission: The Cutting Edge." Missiology: An International Review 28, no. 2 (2000): 187–97. http://dx.doi.org/10.1177/009182960002800204.

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In the search for new paradigms and models of mission, one cutting edge in the 1990s is local-global mission with emphasis placed on the hyphen. The primary mission agents today are the local congregation and the global church. Not only are the local-global players significant, but also the networking that goes on between them and the diverse challenges and barriers that we encounter in our community and world. It is essential to move beyond dichotomies and isolation to develop a symbiotic relationship between local and global and between sending and receiving.

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Leivadeas, Aris, George Kesidis, Mohamed Ibnkahla, and Ioannis Lambadaris. "VNF Placement Optimization at the Edge and Cloud †." Future Internet 11, no. 3 (2019): 69. http://dx.doi.org/10.3390/fi11030069.

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Network Function Virtualization (NFV) has revolutionized the way network services are offered to end users. Individual network functions are decoupled from expensive and dedicated middleboxes and are now provided as software-based virtualized entities called Virtualized Network Functions (VNFs). NFV is often complemented with the Cloud Computing paradigm to provide networking functions to enterprise customers and end-users remote from their premises. NFV along with Cloud Computing has also started to be seen in Internet of Things (IoT) platforms as a means to provide networking functions to th

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Pan, Wenwen, Jianzhi Wang, and Jingsheng Ji. "Evaluation and Analysis of Traditional Physical Training by Using Mobile Edge Computing and Software-Defined Networking." Mobile Information Systems 2021 (March 16, 2021): 1–9. http://dx.doi.org/10.1155/2021/5596291.

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The body health plays an important metric in people’s everyday life, and it directly determines whether people have the ability to preferably contribute to the society. In fact, the physical training is a universal sport to enhance the body health. Therefore, the evaluation and analysis of physical training become particularly significant. With the rapid development and emerging of new techniques and networking paradigms, the traditional offline physical training evaluation and analysis cannot be performed well. Instead, this paper uses Mobile Edge Computing (MEC) and Software-Defined Networki

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Bokhary, Syed Ahtsham Ul Haq, Khola Wahid, Usman Ali, Shreefa O. Hilali, Mohammed Alhagyan, and Ameni Gargouri. "Resolvability in Subdivision Graph of Circulant Graphs." Symmetry 15, no. 4 (2023): 867. http://dx.doi.org/10.3390/sym15040867.

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Circulant networks are a very important and widely studied class of graphs due to their interesting and diverse applications in networking, facility location problems, and their symmetric properties. The structure of the graph ensures that it is symmetric about any line that cuts the graph into two equal parts. Due to this symmetric behavior, the resolvability of these graph becomes interning. Subdividing an edge means inserting a new vertex on the edge that divides it into two edges. The subdivision graph G is a graph formed by a series of edge subdivisions. In a graph, a resolving set is a s

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., Naveen, Abhishek Sharma, and Neha Ahlawat. "SD-WAN: The Future of Networking." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 328–31. http://dx.doi.org/10.22214/ijraset.2023.51475.

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Abstract: Software-defined wide area network (SD-WAN) is a networking technology that enables organizations to build secure, high-performance WANs (Wide Area Networks) using software-based controls that provide simplified network management, help businesses offer seamless connectivity to their users in this current world trend of cloud technology and Edge computing. It operates in a centralized manner, allowing for the control of the entire network at once surpassing the limitations of traditional WANs. This paper discusses the SD-WAN technology, including why it was created, its benefits, the

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Ahmed Jumaa Lafta and Aya Falah Mahmood. "A Comprehensive Survey on Emerging Trends in Networking and Communication : From IoT to Edge Computing." International Journal of Computer Technology and Science 2, no. 1 (2025): 112–28. https://doi.org/10.62951/ijcts.v2i1.137.

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The advancement of networking and communication technologies has escalated the IoT and edge computing integration by leaps and bounds. This paper provides a review of the current trends, technologies and issues concerning IoT and edge computing. Looking at the key application areas of smart cities, healthcare, industrial IoT and smart grids this paper demonstrates how edge computing solves the problems of cloud computing such as latency, bandwidth and privacy. The survey also reveals present day constraints such as the lack of standards for scalability, integration problems, and lack of strong

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Antonio Santos da Silva, Paulo Mendes, Denis Rosario, Eduardo Cerqueira, and Edison Pignaton de Freitas. "Airborne fog computing framework: instant primers and design choices." ITU Journal on Future and Evolving Technologies 5, no. 3 (2024): 368–82. http://dx.doi.org/10.52953/unzo8724.

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This article focuses on the challenge of providing services and applications by a swarm of mobile flying devices, which may belong to the same tenant or not. Starting by introducing the concepts of mobile edge computing and fog computing, this work shows how the latter can be leveraged to create a novel framework of airborne fog computing. This article defines the applicability, design principles, and challenges inherent to such a framework, starting by showing how the technical challenges can be tackled based on the combination of three different networking paradigms: opportunistic networking

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Afolalu, Oladele, and Mohohlo Samuel Tsoeu. "Enterprise Networking Optimization: A Review of Challenges, Solutions, and Technological Interventions." Future Internet 17, no. 4 (2025): 133. https://doi.org/10.3390/fi17040133.

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Enterprise networking optimization has become crucial recently due to increasing demand for a secure, adaptable, reliable, and interoperable network infrastructure. Novel techniques to optimize network security and toimprove scalability and efficiency are constantly being developed by network enablers, particularly in more challenging multi-cloud and edge scenarios. This paper, therefore, presents a comprehensive review of the traditional and most recent developments in enterprise networking. We structure the paper with particular emphasis on the adoption of state of-the-art technologies, such

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Xue, Hai, Kyung Tae Kim, and Hee Yong Youn. "Packet Scheduling for Multiple-Switch Software-Defined Networking in Edge Computing Environment." Wireless Communications and Mobile Computing 2018 (November 18, 2018): 1–11. http://dx.doi.org/10.1155/2018/7659085.

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Software-defined networking (SDN) decouples the control plane and data forwarding plane to overcome the limitations of traditional networking infrastructure. Among several communication protocols employed for SDN, OpenFlow is most widely used for the communication between the controller and switch. In this paper two packet scheduling schemes, FCFS-Pushout (FCFS-PO) and FCFS-Pushout-Priority (FCFS-PO-P), are proposed to effectively handle the overload issue of multiple-switch SDN targeting the edge computing environment. Analytical models on their operations are developed, and extensive experim

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Li, Xi, Thomas DeiB, Josep Mangues-Bafalluy, et al. "Automating Vertical Services Deployments over the 5GT Platform." IEEE Communications Magazine 58, no. 7 (2020): 44–50. https://doi.org/10.1109/MCOM.001.1900582.

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This article presents a system for 5G networks that makes it possible to meet the diverse needs of vertical industries simultaneously sharing the same physical infrastructure. Orchestration, network slicing, edge computing, and federation are key technologies enabling industry verticals to have their own virtual networks, which might require aggregating transport networking and computing fabric, from the edge up to the core and cloud. Three novel building blocks are defined to meet these challenges in an automated manner: a vertical slicer as the entry point to create services and request slic

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Paterson, Nancy E. "End User Privacy and Policy-Based Networking." Journal of Information Policy 4, no. 1 (2014): 28–43. http://dx.doi.org/10.5325/jinfopoli.4.2014.28.

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Abstract Are privacy concerns over end user surveillance by network operators such as AT&T and Verizon, and by “edge providers” such as Google and Amazon, being dangerously overshadowed by the predominant emphasis on government surveillance? Quite possibly so, Professor Paterson concludes, after reviewing currently-used packet analysis technologies and their advertised capabilities. Paterson concludes that the problem faced by privacy and public interest advocates is that no one has a truly comprehensive grasp of how widely network operators have deployed such tools, what information is co

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Chen, Ning, Tie Qiu, Laiping Zhao, Xiaobo Zhou, and Huansheng Ning. "Edge Intelligent Networking Optimization for Internet of Things in Smart City." IEEE Wireless Communications 28, no. 2 (2021): 26–31. http://dx.doi.org/10.1109/mwc.001.2000243.

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48

Duan, Qiang, Shangguang Wang, and Nirwan Ansari. "Convergence of Networking and Cloud/Edge Computing: Status, Challenges, and Opportunities." IEEE Network 34, no. 6 (2020): 148–55. http://dx.doi.org/10.1109/mnet.011.2000089.

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Amin, Rahul, David Ripplinger, Devanshu Mehta, and Bow-Nan Cheng. "Design considerations in applying disruption tolerant networking to tactical edge networks." IEEE Communications Magazine 53, no. 10 (2015): 32–38. http://dx.doi.org/10.1109/mcom.2015.7295460.

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Cheng, Bow-Nan, Greg Kuperman, Patricia Deutsch, Logan Mercer, and Aradhana Narula-Tam. "Group-centric networking: addressing information sharing requirements at the tactical edge." IEEE Communications Magazine 54, no. 10 (2016): 145–51. http://dx.doi.org/10.1109/mcom.2016.7588284.

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