Relevant bibliographies by topics / Beyong edge computing

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  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

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Journal articles on the topic "Beyong edge computing"

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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 schedule of the edge gateway via the lightweight virtualization technology, Docker. The edge gateway can also process the service requests in the local network. The proposed edge computing service model not only eliminates the computation burden of the traditional cloud service model but also improves the operation efficiency of the edge computing nodes. This model can also be used for various innovation applications in the cloud-edge computing environment for 5G and beyond.
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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 this paper, we extensively address the role of MEC in 5G networks and beyond. Accordingly, we first investigate the MEC architecture, the characteristics of edge computing, and the MEC challenges. Then, the paper discusses the MEC use cases and service scenarios. Further, computations offloading is explored. Lastly, we propose upcoming research difficulties in incorporating MEC with the 5G system and beyond.
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Passian, Ali, and Neena Imam. "Nanosystems, Edge Computing, and the Next Generation Computing Systems." Sensors 19, no. 18 (September 19, 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-photon energies. The extreme versatility of the associated electromagnetic phenomena and applications, both classical and quantum, are therefore highly appealing to the rapidly evolving computing and communication realms, where innovations in both hardware and software are necessary to meet the growing speed and memory requirements. Development of all-optical components, photonic chips, interconnects, and processors will bring the speed of light, photon coherence properties, field confinement and enhancement, information-carrying capacity, and the broad spectrum of light into the high-performance computing, the internet of things, and industries related to cloud, fog, and recently edge computing. Conversely, owing to their extraordinary properties, 0D, 1D, and 2D materials are being explored as a physical basis for the next generation of logic components and processors. Carbon nanotubes, for example, have been recently used to create a new processor beyond proof of principle. These developments, in conjunction with neuromorphic and quantum computing, are envisioned to maintain the growth of computing power beyond the projected plateau for silicon technology. We survey the qualitative figures of merit of technologies of current interest for the next generation computing with an emphasis on edge computing.
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Liu, Xiao, Jiong Jin, and Fang Dong. "Edge-Computing-Based Intelligent IoT: Architectures, Algorithms and Applications." Sensors 22, no. 12 (June 13, 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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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 (January 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. The promise of this technology will be realized through addressing new research challenges in the IoT paradigm and the design of highly-efficient communication technology with minimum cost and effort.
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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 (July 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 this, the service application must be relocated according to the location of the user&rsquo;s movement. Various research works are underway to solve this service relocation issue, e.g., cold/live migration studies have been carried in legacy cloud environments. In this paper, we propose a container migration technique that guarantees a smooth service application relocation for mobile users. We design scenarios for adaptive handoff and describe the detailed operation process. In addition, we present our MEC testbed, which has been used to experiment our container migration technique.</p> <p>&nbsp;</p>
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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 (April 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 techniques must meet quality of service (QoS) considerations such as availability, responsiveness, and reliability to avoid service-level agreement (SLA) breaches. This investigation is essential because of the unpredictable change in service demands from diverse regions and the limits of MEC’s available computing resources. In this study, resource provisioning approaches for mobile cloud computing are thoroughly and comparatively studied and classified as taxonomies of previous research. The paper concludes with an insightful summary that gives recommendations for future enhancements.
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Lai, Shiwei, Rui Zhao, Shunpu Tang, Junjuan Xia, Fasheng Zhou, and Liseng Fan. "Intelligent secure mobile edge computing for beyond 5G wireless networks." Physical Communication 45 (April 2021): 101283. http://dx.doi.org/10.1016/j.phycom.2021.101283.

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Madake, Vaibhav. "Edge Computing: Enhancing IoT and Beyond-Implications for Businesses and Consumers." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (March 31, 2024): 3077–85. http://dx.doi.org/10.22214/ijraset.2024.59598.

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Abstract: In this paper, we explore how edge computing is revolutionizing the Internet of Things (IoT) ecosystem by processing data closer to its source, thereby reducing latency, conserving bandwidth, and improving data security. We investigate the implications of this technological shift for businesses and consumers, highlighting the opportunities and challenges it presents.
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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 sur des nœuds mobiles, il est fondamental que le MEC soit capable de connaître son environnement d'exploitation. Dans la première partie de la thèse, nous explorons la disponibilité temporelle des ressources au-delà du bord. Nous avons choisi d'étudier la co-localisation des terminaux et d'analyser leurs persistances dans une cellule. Puis, nous nous intéressons à l'allocation des tâches. Nous mettons l'accent sur l'aspect spatio-temporel en quantifiant les ressources qu'une cellule peut fournir pour effectuer une tâche MEC. Nous estimons le potentiel de tâches de calcul effectuées par les terminaux en fonction du temps de présence cumulé dans une cellule donnée et d'un délai d'achèvement donné. Les résultats permettent de déterminer les possibilités de décharger des tâches de calcul sur des dispositifs mobiles. En outre, ils permettent de connaître les emplacements où il est judicieux de délester les tâches et la durée des tâches pouvant être délestées
The pervasiveness of mobile devices equipped with internet connectivity and positioning systems leads us to regard them as a valuable resource to leverage. In this thesis, we tackle the use of mobile devices from a new perspective. We consider the extension of the capacity of the MEC by using the available resources of mobile devices beyond the edge of the infrastructure network. The goal is to leverage their untapped resources to process computation on behalf of the MEC in a distributed way. It is fundamental for the MEC to be aware of its operating environment to rely on mobile nodes. In the first part of the thesis, we have focused on the temporal availability of beyond-the-edge resources. We chose to investigate the co-location of terminals and analyze their persistence in a cell. Then, we turn our attention to task allocation. We shift the focus on the spatio-temporal aspect by quantifying the resources that a cell can provide to perform a MEC task. We estimate the potential amount of computational tasks performed by nodes based on the cumulative presence time in a given cell and a given completion delay. Results provide insight into the possibilities of offloading computing tasks on mobile nodes. Furthermore, it allows knowing the locations where it is advisable to offload tasks and the time duration of tasks offloadable
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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. Cham: 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 will enable any business to quickly and affordably deploy Web 2.0 best practices to gain customers and maximize profits. Web 2.0 is more a series of trends than a basket of things: —More and more, power is in the hands of individual users and their networks. —Web content is distributed, sorted, combined, and displayed across the Web in formats and places not anticipated by the content creators. —New technology now makes rich online experiences and complex software applications possible, and at a low cost. —Integration is breaking down walls between PCs and mobile devices. Web 2.0 is a landscape in which users control their online experience and influence the experiences of others. Business success on the Web, therefore, now comes from harnessing the power of social networks, computing networks, media and opinion networks, and advertising networks. Web 2.0 takes advantage of higher bandwidth and lighter-weight programming tools to create rich, engaging online experiences that compete with television and other offline activities. With examples and case studies from real businesses, this book demonstrates what makes a successful Web 2.0 company, regardless of its size or resources. A non-technical guide, it is aimed squarely at the marketer or business manager who wants to understand recent developments in the online world, and to turn them into practical, competitive advantages.
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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, 21–42. Cham: 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, 111–29. Cham: 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, 43–60. Cham: 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, 73–99. Cham: 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, 61–71. Cham: 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, 163–85. Cham: 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, 141–61. Cham: 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, 101–5. Cham: 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, 189–95. Cham: 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, 13–20. Cham: 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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Benzaoui, Nihel. "Beyond Edge Cloud: Distributed Edge Computing." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ofc.2020.w1f.6.

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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, Nikolaos Bartzoudis, Valerio Frascella, Swarup Kumar Mohalik, Thiis Metsch, 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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Kartsakli, Elli, Jordi Perez-Romero, Nikolaos Bartzoudis, Oriol Sallent, Oluwatayo Kolawole, Xin Tao, Swarup Kumar Mohalik, et al. "An Evolutionary Edge Computing Architecture for the Beyond 5G Era." In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, 2023. http://dx.doi.org/10.1109/camad59638.2023.10478426.

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Hoque, Mohammad A., and Sasu Tarkoma. "Poster Abstract: SenSe — Sensing Data Analytics at Scale Beyond the Edge Network." In 2016 IEEE/ACM Symposium on Edge Computing (SEC). IEEE, 2016. http://dx.doi.org/10.1109/sec.2016.10.

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Lorido-Botran, Tania. "Keynote Speech 4 Metaverse, Metastability and Beyond." In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC). IEEE, 2023. http://dx.doi.org/10.1109/fmec59375.2023.10306224.

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Dai, Yueyue, Du Xu, Ke Zhang, Yunlong Lu, Sabita Maharjan, and Yan Zhang. "Deep Reinforcement Learning for Edge Computing and Resource Allocation in 5G Beyond." In 2019 IEEE 19th International Conference on Communication Technology (ICCT). IEEE, 2019. http://dx.doi.org/10.1109/icct46805.2019.8947146.

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Sanguanpuak, Tachporn, Nandana Rajatheva, Dusit Niyato, and Matti Latva-aho. "Network Slicing with Mobile Edge Computing for Micro-Operator Networks in Beyond 5G." In 2018 21st International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2018. http://dx.doi.org/10.1109/wpmc.2018.8712904.

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