Relevant bibliographies by topics / Beyong edge computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Beyong edge computing'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Beyong edge computing"

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Venkata Durga Ganesh Nandigam. "Edge Computing and Microservices: Extending Scalability Beyond the Cloud." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 1342–51. https://doi.org/10.32628/cseit241061170.

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The convergence of edge computing and microservices architecture represents a transformative shift in how organizations process and manage distributed data systems. This article explores the limitations of traditional cloud-centric approaches and presents edge computing as a solution to address these challenges. Through a detailed analysis of real-world implementations across various sectors, including autonomous vehicles, smart cities, and industrial automation, the article examines how edge computing integrated with microservices architecture improves system performance, reduces latency, and
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Tseng, Chia-Wei, Fan-Hsun Tseng, Yao-Tsung Yang, Chien-Chang Liu, and Li-Der Chou. "Task Scheduling for Edge Computing with Agile VNFs On-Demand Service Model toward 5G and Beyond." Wireless Communications and Mobile Computing 2018 (July 11, 2018): 1–13. http://dx.doi.org/10.1155/2018/7802797.

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The demand for satisfying service requests, effectively allocating computing resources, and providing service on-demand application continuously increases along with the rapid development of the Internet. Edge computing is used to satisfy the low latency, network connection, and local data processing requirements and to alleviate the workload in the cloud. This paper proposes a gateway-based edge computing service model to reduce the latency of data transmission and the network bandwidth from and to the cloud. An on-demand computing resource allocation can be achieved by adjusting the task sch
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Sedhom, Germien G., Alshimaa H. Ismail, and Basma M. Yousef. "Literature Review and Novel Trends of Mobile Edge Computing for 5G and Beyond." Journal of Artificial Intelligence and Metaheuristics 2, no. 2 (2022): 18–28. http://dx.doi.org/10.54216/jaim.020202.

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Because of the rapid evolution of communications technologies, such as the Internet of Things (IoT) and fifth generation (5G) systems and beyond, the latest developments have seen a fundamental change in mobile computing. Mobile computing is moved from central mobile cloud computing to mobile edge computing (MEC). Therefore, MEC is considered an essential technology for 5G technology and beyond. The MEC technology permits user equipment (UEs) to execute numerous high-computational operations by creating computing capabilities at the edge networks and inside access networks. Consequently, in th
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Passian, Ali, and Neena Imam. "Nanosystems, Edge Computing, and the Next Generation Computing Systems." Sensors 19, no. 18 (2019): 4048. http://dx.doi.org/10.3390/s19184048.

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It is widely recognized that nanoscience and nanotechnology and their subfields, such as nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on recent advances in sensing, imaging, and communication, with notable developments, including novel transistors and processor architectures. For example, in addition to being supremely fast, optical and photonic components and devices are capable of operating across multiple orders of magnitude length, power, and spectral scales, encompassing the range from macroscopic device sizes and kW energies to atomic domains and single
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Liu, Xiao, Jiong Jin, and Fang Dong. "Edge-Computing-Based Intelligent IoT: Architectures, Algorithms and Applications." Sensors 22, no. 12 (2022): 4464. http://dx.doi.org/10.3390/s22124464.

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With the rapid growth of the Internet of Things (IoT), 5G networks and beyond, the computing paradigm for intelligent IoT systems is shifting from conventional centralized-cloud computing to distributed edge computing [...]
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Milankumar Rana, Vishal Shah. "Quantum-Edge Synergy: A Novel Framework for Real-Time IoT Analytics Beyond Cloud and Edge Computing." Journal of Information Systems Engineering and Management 10, no. 37s (2025): 925–35. https://doi.org/10.52783/jisem.v10i37s.6746.

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The Adaptation of the Internet of Things (IoT) is increasing to gain more insight from data from IOT devices [1]. Using cloud technologies to connect IOT devices and streaming real-time data to perform real-time analytics helps organizations find meaningful information that can drive growth and innovation [14]. Major cloud service providers support IoT device connectivity, data storage capabilities in different formats, and scalable computer and analytical tools [15]; however, the exponential growth of IoT devices and data has exposed limitations in traditional cloud architecture, such as late
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Sodanapalli, Sana, Hewan Shrestha, Chandramohan Dhasarathan, Puviyarasi T., and Sam Goundar. "Recent Advances in Edge Computing Paradigms." International Journal of Fog Computing 4, no. 1 (2021): 37–51. http://dx.doi.org/10.4018/ijfc.2021010103.

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Edge computing is an exciting new approach to network architecture that helps organizations break beyond the limitations imposed by traditional cloud-based networks. It has emerged as a viable and important architecture that supports distributed computing to deploy compute and storage resources closer to the data source. Edge and fog computing addresses three principles of network limitations of bandwidth, latency, congestion, and reliability. The research community sees edge computing at manufacturing, farming, network optimization, workplace safety, improved healthcare, transportation, etc.
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Yeonjoo Lim, Yeonjoo Lim, and Jong-Hyouk Lee Yeonjoo Lim. "Container-based Service Relocation for Beyond 5G Networks." 網際網路技術學刊 23, no. 4 (2022): 911–18. http://dx.doi.org/10.53106/160792642022072304026.

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<p>With the advent of 5G networks, various research on Multi-access Edge Computing (MEC) to provide high-reliability and ultra-low latency services are being actively conducted. MEC is an intelligent service distributed cloud technology that provides a high level of personal services by deploying cloud servers to edge networks physically closed to users. However, there is a technical issue to be solved, e.g., the service being used by a user does not exist in the new edge network, and there may even be situations in which the service cannot be provided in the new edge network. To address
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Kashkarov, D., and A. Koucheryavy. "THE MULTI-ACCESS EDGE COMPUTING APPLICATIONS AND DEVELOPMENT ANALYSIS FOR TELECOMMUNICATION NETWORKS." Telecom IT 8, no. 1 (2020): 28–33. http://dx.doi.org/10.31854/2307-1303-2020-8-1-28-33.

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Research subject. The article is devoted to the analysis of the applications and development the multi-access edge computing on fifth-generation and beyond telecommunication networks. Method. System analysis. Core results. The identification of development perspectives of a multi-access edge computing on fifth-generation and beyond telecommunication networks. Practical relevance. The results of the article can be used by scientific organizations when planning the development of telecommunication networks, as well as universities in the educational process.
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Durga, S., Esther Daniel, J. Andrew Onesimu, and Yuichi Sei. "Resource Provisioning Techniques in Multi-Access Edge Computing Environments: Outlook, Expression, and Beyond." Mobile Information Systems 2022 (December 19, 2022): 1–24. http://dx.doi.org/10.1155/2022/7283516.

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Mobile cloud computing promises a research foundation in information and communication technology (ICT). Multi-access edge computing is an intermediate solution that reduces latency by delivering cloud computing services close to IoT and mobile clients (MCs), hence addressing the performance issues of mobile cloud computing. However, the provisioning of resources is a significant and challenging process in mobile cloud-based environments as it organizes the heterogeneous sensing and processing capacities to provide the customers with an elastic pool of resources. Resource provisioning techniqu
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Dissertations / Theses on the topic "Beyong edge computing"

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Khizar, Sadia. "Metrology for 5G edge networks (MEC). Leveraging mobile devices beyond the edge toward task offloading." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS069.

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L'omniprésence des dispositifs mobiles équipés d'une connectivité Internet et de systèmes de positionnement, nous pousse à les considérer comme une ressource précieuse à exploiter. Dans cette thèse, nous abordons l'utilisation des dispositifs mobiles sous un nouvel angle. Nous considérons l'extension de la capacité du MEC en utilisant les ressources disponibles des dispositifs mobiles au-delà de la bordure du réseau d'infrastructure. L'objectif est de tirer parti de leurs ressources inexploitées pour traiter les tâches de calculs au profit du MEC de manière distribuée. Pour pouvoir s'appuyer s
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VALLERO, GRETA. "Green Mobile Networks: from 4G to 5G and Beyond." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2960753.

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Books on the topic "Beyong edge computing"

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Juan Ferrer, Ana. Beyond Edge Computing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23344-9.

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Ferrer, Ana Juan. Beyond Edge Computing: Swarm Computing and Ad-Hoc Edge Clouds. Springer International Publishing AG, 2023.

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Funk, Tom. Web 2.0 and Beyond. www.praeger.com, 2008. http://dx.doi.org/10.5040/9798216034278.

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Web 2.0 has taken on buzzword status. It's now shorthand for everything that is new, cutting-edge, and gaining momentum online. Web 2.0 can describe particular Web sites; cultural trends like social networking, blogging, or podcasting; or the underlying technology that makes today's coolest Web applications possible. Many Web 2.0 innovations were pioneered by behemoths like Google, Amazon, Apple, YouTube, and MySpace. But even the smallest, leanest companies can take advantage of the new trends, new and open-source programming tools, and new networks. This book presents a wealth of ideas that
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Book chapters on the topic "Beyong edge computing"

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Juan Ferrer, Ana. "Cloud Computing." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_3.

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Juan Ferrer, Ana. "Computing Beyond Edge: The Swarm Computing Concept." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_8.

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Juan Ferrer, Ana. "Mobile Cloud Computing." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_4.

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Juan Ferrer, Ana. "Edge and Fog Computing." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_6.

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Juan Ferrer, Ana. "Mobile Ad-hoc Cloud Computing." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_5.

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Juan Ferrer, Ana. "Service Placement and Management." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_11.

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Juan Ferrer, Ana. "Cognitive Resource Management in Ad-hoc Edge Clouds." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_10.

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Juan Ferrer, Ana. "Additional Technologies for Swarm Development." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_7.

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Juan Ferrer, Ana. "Next Steps for Ad-hoc Edge Cloud and Swarm Computing Realization." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_12.

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Juan Ferrer, Ana. "Setting the Scene: Cloud, Edge, Mobile and Ad-hoc Computing Context." In Beyond Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_2.

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Conference papers on the topic "Beyong edge computing"

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Sturzinger, Eric, and Mahadev Satyanarayanan. "Beyond Federated Learning: Survival-Critical Machine Learning." In 2024 IEEE/ACM Symposium on Edge Computing (SEC). IEEE, 2024. https://doi.org/10.1109/sec62691.2024.00056.

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Kartsakli, Elli, Oriol Salient, Joan Pujol Roig, et al. "Advanced Edge Computing Architecture for AI-Driven Automation and Slicing in Beyond 5G." In 2024 IEEE/ACM 17th International Conference on Utility and Cloud Computing (UCC). IEEE, 2024. https://doi.org/10.1109/ucc63386.2024.00052.

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Balasm, Zaed, Shashidhara K S, B. Sandhiyarajeshwari, Nigileeswari B, and G. Swarnalakshmi. "Improved Deep Reinforcement Learning Based Resource Allocation for 5G and Beyond Networks in Edge Computing Environment." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968256.

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Ghabriess, Zahraa, Hassan Harb, Ali Mansour, Koffi Clément Yao, and Christophe Osswald. "Attacks Detection in IoT-enabled 5G and beyond Networks: Performance Evaluation of Integrating Cutting-Edge Technologies." In 2025 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2025. https://doi.org/10.1109/iwcmc65282.2025.11059598.

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Benzaoui, Nihel. "Beyond Edge Cloud: Distributed Edge Computing." In Optical Fiber Communication Conference. OSA, 2020. http://dx.doi.org/10.1364/ofc.2020.w1f.6.

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Yu, Xiaofan, Anthony Thomas, Ivannia Gomez Moreno, Louis Gutierrez, and Tajana Šimunić Rosing. "Intelligence Beyond the Edge using Hyperdimensional Computing." In 2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). IEEE, 2024. http://dx.doi.org/10.1109/ipsn61024.2024.00005.

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Bruschi, Roberto, Franco Davoli, Guerino Lamanna, Chiara Lombardo, Sergio Mangialardi, and Jane Frances Pajo. "Enabling Edge Computing Deployment in 4G and Beyond." In 2020 6th IEEE International Conference on Network Softwarization (NetSoft). IEEE, 2020. http://dx.doi.org/10.1109/netsoft48620.2020.9165384.

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Vilà, I., O. Sallent, and J. Pérez-Romero. "Expanding Edge Computing deeper into Beyond 5G Radio Access Networks." In 2023 IEEE 9th International Conference on Network Softwarization (NetSoft). IEEE, 2023. http://dx.doi.org/10.1109/netsoft57336.2023.10175479.

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Kartsakli, Elli, Jordi Perez-Romero, Oriol Sallent, et al. "AI-Powered Edge Computing Evolution for Beyond 5G Communication Networks." In 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). IEEE, 2023. http://dx.doi.org/10.1109/eucnc/6gsummit58263.2023.10188371.

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Khizar, Sadia, Marcelo Dias de Amorim, and Vania Conan. "Offloading computing tasks beyond the edge: A data-driven analysis." In 2021 13th IFIP Wireless and Mobile Networking Conference (WMNC). IEEE, 2021. http://dx.doi.org/10.23919/wmnc53478.2021.9619152.

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