Academic literature on the topic 'Edge-based services'

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Journal articles on the topic "Edge-based services"

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Zhang, Xiangjun, Weiguo Wu, Shiyuan Yang, and Xiong Wang. "Falcon: A Blockchain-Based Edge Service Migration Framework in MEC." Mobile Information Systems 2020 (October 16, 2020): 1–17. http://dx.doi.org/10.1155/2020/8820507.

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Driven by advanced 5G cellular systems, mobile edge computing (MEC) has emerged as a promising technology that can meet the energy efficiency and latency requirements of IoT applications. Edge service migration in the MEC environment plays an important role in ensuring user service quality and enhancing terminal computing capabilities. Application services on the edge side should be migrated from different edge servers to edge nodes closer to users, so that services follow users and ensure high-quality services. In addition, during the migration process, edge services face security challenges
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Du, Zhoujie, and Huaikou Miao. "Research on Edge Service Composition Method Based on BAS Algorithm." Computational Intelligence and Neuroscience 2021 (July 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/9931689.

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Edge services are transferred data processing, application running, and implementation of some functional services from cloud central server to network edge server to provide services. Combined edge service can effectively reduce task computation in the cloud, shorten transmission distance of processing data, quickly decompose task of service request, and select the optimal edge service combination to provide service for users. BAS is an efficient intelligent optimization algorithm, which can achieve efficient optimization and neither need to know the specific form of function nor need gradien
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Zhai, Zhongyi, Ke Xiang, Lingzhong Zhao, Bo Cheng, Junyan Qian, and Jinsong Wu. "IoT-RECSM—Resource-Constrained Smart Service Migration Framework for IoT Edge Computing Environment." Sensors 20, no. 8 (2020): 2294. http://dx.doi.org/10.3390/s20082294.

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The edge-based computing paradigm (ECP) becomes one of the most innovative modes of processing distributed Interneit of Things (IoT) sensor data. However, the edge nodes in ECP are usually resource-constrained. When more services are executed on an edge node, the resources required by these services may exceed the edge node’s, so as to fail to maintain the normal running of the edge node. In order to solve this problem, this paper proposes a resource-constrained smart service migration framework for edge computing environment in IoT (IoT-RECSM) and a dynamic edge service migration algorithm. B
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Chen, Min, Haiyang Wang, Kai Hwang, et al. "Guest Editorial: Learning-Based Edge Computing Services." IEEE Network 35, no. 1 (2021): 138–40. http://dx.doi.org/10.1109/mnet.2021.9355037.

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Xiao, Bin, Rahim Rahmani, Yuhong Li, and Theo Kanter. "Edge-based interoperable service-driven information distribution for intelligent pervasive services." Pervasive and Mobile Computing 40 (September 2017): 359–81. http://dx.doi.org/10.1016/j.pmcj.2017.07.002.

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Wang, Yuqing, and Xueping Han. "Agricultural Productive Service System Based on the Block Chain and Edge Computing." Mathematical Problems in Engineering 2020 (November 30, 2020): 1–9. http://dx.doi.org/10.1155/2020/6667956.

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With the rapid development of the service sector in economic growth, productive service industry has become a growing field of people’s attention. Agricultural productive services are a supporting point to promote the development of modern agriculture, and at the same time, they also point out the direction for promoting the transformation of the agricultural development mode, which has very important strategic significance. In order to analyze and improve the rural productive service system and solve the “three rural” issues, this article designs an agricultural productive service analysis fr
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Xu, Xiaolong, Qihe Huang, Yiwen Zhang, Shancang Li, Lianyong Qi, and Wanchun Dou. "An LSH-based Offloading Method for IoMT Services in Integrated Cloud-Edge Environment." ACM Transactions on Multimedia Computing, Communications, and Applications 16, no. 3s (2021): 1–19. http://dx.doi.org/10.1145/3408319.

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Benefiting from the massive available data provided by Internet of multimedia things (IoMT), enormous intelligent services requiring information of various types to make decisions are emerging. Generally, the IoMT devices are equipped with limited computing power, interfering with the process of computation-intensive services. Currently, to satisfy a wide range of service requirements, the novel computing paradigms, i.e., cloud computing and edge computing, can potentially be integrated for service accommodation. Nevertheless, the private information (i.e., location, service type, etc.) in the
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Aral, Atakan, Ivona Brandic, Rafael Brundo Uriarte, Rocco De Nicola, and Vincenzo Scoca. "Addressing Application Latency Requirements through Edge Scheduling." Journal of Grid Computing 17, no. 4 (2019): 677–98. http://dx.doi.org/10.1007/s10723-019-09493-z.

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Abstract Latency-sensitive and data-intensive applications, such as IoT or mobile services, are leveraged by Edge computing, which extends the cloud ecosystem with distributed computational resources in proximity to data providers and consumers. This brings significant benefits in terms of lower latency and higher bandwidth. However, by definition, edge computing has limited resources with respect to cloud counterparts; thus, there exists a trade-off between proximity to users and resource utilization. Moreover, service availability is a significant concern at the edge of the network, where ex
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Zhang, Xin, Jiali You, Hanxing Xue, and Jinlin Wang. "A Decentralized PageRank Based Content Dissemination Model at the Edge of Network." International Journal of Web Services Research 17, no. 1 (2020): 1–16. http://dx.doi.org/10.4018/ijwsr.2020010101.

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In the era of Internet of Things, cloud services are difficult to meet the real-time transmission requirements of users for the data generated in the edge of network especially for the Internet video services. Utilizing the devices at the edge of network, such as an intelligent router, to achieve nearby content services for users can effectively reduce backbone traffic and enhance service performance. This article proposes a decentralized PageRank-based content dissemination model at the edge of network, in which a suitable node selection algorithm is designed to distribute the content evenly
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Gao, Honghao, Wanqiu Huang, and Yucong Duan. "The Cloud-edge-based Dynamic Reconfiguration to Service Workflow for Mobile Ecommerce Environments." ACM Transactions on Internet Technology 21, no. 1 (2021): 1–23. http://dx.doi.org/10.1145/3391198.

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The emergence of mobile service composition meets the current needs for real-time eCommerce. However, the requirements for eCommerce, such as safety and timeliness, are becoming increasingly strict. Thus, the cloud-edge hybrid computing model has been introduced to accelerate information processing, especially in a mobile scenario. However, the mobile environment is characterized by limited resource storage and users who frequently move, and these characteristics strongly affect the reliability of service composition running in this environment. Consequently, applications are likely to fail if
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Dissertations / Theses on the topic "Edge-based services"

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Li, Wenhao. "Edge Service Selection in a Virtual Service Marketplace." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281243.

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A brokerless edge service marketplace could play a significant role in enabling an eco- system where a large number of edge providers and Communication Service Providers (CSPs) offer Mobile Edge Infrastructure Services (EISs) to providers of edge-based applications and services. The marketplace would be the bridge between EIS providers and their customers, managing the relations between actors in the mobile edge eco- system. One of the key services of the marketplace is service selection where not only a list of EISs matching the customers’ demands is provided but also enables service selectio
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Ferdous, Wahid Khan. "An ID-based mutually authenticated edge-to-edge security architecture for bridged provider networks to secure layer-2 communications." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/32050.

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IEEE standardized a Layer-2 security, named Media Access Control security (MACsec), for interoperability. It provides link-based security through hop-by-hop operation. The link-constrained security of MACsec eliminates the confidentiality of user data inside bridges. Hence, high-speed Ethernet-based Broadband networks are susceptible to attacks in large network deployment, where bridges need to be resided in street cabinets, road side poles or public places for easy user access. We propose an ID-based mutually authenticated edge-to-edge security architecture to address this remaining gap (i.e.
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Rogass, Christian. "A contribution to a hyperspectral edge detection based on active contours /." Cottbus : BTU, 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018013320&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Gerhart, Volker. "Information management at the edge of uncertainty : towards perception based knowledge media for product innovation teams /." Aachen : Shaker, 2004. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=013185490&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Chen, Yi-Chia, and 陳奕佳. "An approach based on matching theory to distributed deployment of NFV-based network services to geo-distributed edge computing systems." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/h7kasp.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>107<br>With both Network Function Virtualization (NFV) and Multi-access Edge Computing (MEC) environment, network service providers can deploy their NFV-based network services on the edge servers maintained by edge service providers (ESPs) to serve end users. Nevertheless, determining which ESP to lease resource and how much to pay for the deployment will become an important issue for the network service providers. For the ESPs, determining which network serive to serve and how much to charge from its provider is also an important issue. We proposed a two-layer me
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Huang, Chih-Kai, and 黃志楷. "Enabling NFV-based Service Cache in Edge Clouds." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/373278.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>107<br>In next-generation 5G cellular networks, network components and services are virtualized and run either in virtual machines (VMs) or containers. Moreover, edge clouds (which are closer to end users) are leveraged to reduce end-to-end latency. However, the computational resources are limited in edge clouds. To minimize overall service latency, it is crucial to determine carefully which services should be provided in edge clouds. In this paper, we propose a novel framework named Service Cache (S-Cache), which automatically caches popular services in edge clouds.
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Chen, Bo-Hun, and 陳柏琿. "Genetic-Algorithm-Based Service Function Deployment for Edge Computing." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/x4nu8d.

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碩士<br>國立中央大學<br>資訊工程學系<br>106<br>In recent years, the mobile data traffic has a tremendous growth, especially most of these traffic originate from highly interactive applications such as virtual reality, Internet of Things (IoT) and Machine-Type Communication(MTC). The demand for low-latency communications has been considered as one of critical issue for fifth-generation standardization. In order to satisfy the demand of low-latency, the concept of mobile edge computing is recently emerged by placing computation resource to the edge network. With the technology of virtualization, service provi
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Huang, Chiing-Ting, and 黃競霆. "Study of Service Resource Management in Edge Computing Based on Microservice." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/84wksj.

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碩士<br>國立中央大學<br>資訊工程學系<br>106<br>Nowadays, the technology of cloud computing is getting mature. However, with the 5G standard coming, it make the increase of IoT devices and mobile devices more widespread. These traffic will flood into core network, which makes the congestion of core network. Therefore, in order to offload the traffic from core network to edge network, the service providers will deploy their computing resources and services to the edge network, which makes packet low-latency transmitted to the edge network. The resource of edge network is fewer than the resource of cloud compu
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Li, You-Jie, and 李宥頡. "A Service Handoff and Deployment Framework of Mobile Edge Computing based on Client Location Awareness." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/xvdyub.

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碩士<br>國立高雄應用科技大學<br>電機工程系博碩士班<br>104<br>Recently, the resource services from distant data centers become unacceptable for the real time applications of mobile devices due to long network latency. Therefore, mobile edge computing proposed an idea that was pushing data centers toward the end of networks in order to reducing the network latency of delivering cloud services to mobile devices. However, because of user mobility, it is necessary for edge servers to track and predict the moving paths of mobile devices and prepare service handoff as possible as they can in order for archiving seamless
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Wen, Wen-Pang, and 溫文邦. "SIP-based Call Control Agent and Dynamic Session Classification on IXDP2400 MPLS Edge Router for Providing Qos Guarantee SIP Service over MPLS Networks." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/06371535979873724949.

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碩士<br>國立中正大學<br>電機工程所<br>93<br>This thesis will be from the eyes of network service provider to propose a Content Aware Network (CAN) architecture. This architecture provides perfect network resource allocation and management environment. We will map a VoIP call to the LSPs of the Multi-Protocol Label Switching (MPLS) networks, and provide the call Qos guarantee by means of the Qos guarantee characteristic of the LSPs. We will add Dynamic Session Classification functionality to IXDP2400 MPLS Edge Router and enable the IXDP2400 to be able to transmit data packet intelligently. Also, we implemen
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Books on the topic "Edge-based services"

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Britton, Hannah E. Ending Gender-Based Violence. University of Illinois Press, 2020. http://dx.doi.org/10.5622/illinois/9780252043093.001.0001.

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South Africa’s democratization has been celebrated internationally for the remarkable advances of women in political office. Despite these visible steps forward, South Africa continues to face exceedingly high levels of sexual assault, rape, and intimate-partner violence. This book is about this juxtaposition between women’s national political power and these egregious violations of human rights. The South African women’s movement initially pursued state feminism, specifically using insider strategies to construct institutions and enact policies for women’s advancement. Yet the most poignant m
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Lansford, Jennifer E., and Prerna Banati, eds. Handbook of Adolescent Development Research and Its Impact on Global Policy. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190847128.001.0001.

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Of 1.2 billion adolescents in the world today, 90% live in low- and middle-income countries. These adolescents not only face many challenges but also represent a resource to be cultivated through educational opportunities and vocational training to move them toward economic independence, through initiatives to improve reproductive health, and through positive interpersonal relationships to help them avoid risky behaviors and make positive decisions about their futures. This volume tackles the challenges and promise of adolescence by presenting cutting-edge research on adolescent social, emotio
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Book chapters on the topic "Edge-based services"

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Lundqvist, Henrik, Ignacio Más Ivars, and Gunnar Karlsson. "Edge-Based Differentiated Services." In Quality of Service – IWQoS 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499169_21.

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Zhang, Zhenyuan, Fang Liu, Zhenhua Cai, Yihong Su, and Weijun Li. "Differentiated Services Oriented Auction Mechanism Design for NVM Based Edge Caching." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57884-8_9.

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Liu, Hang, Yuyin Ma, Peng Chen, et al. "Scheduling Multi-workflows over Edge Computing Resources with Time-Varying Performance, A Novel Probability-Mass Function and DQN-Based Approach." In Web Services – ICWS 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59618-7_13.

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Kitanov, Stojan, Tomislav Shuminoski, and Toni Janevski. "QoS for 5G Mobile Services Based on Intelligent Multi-access Edge Computing." In EAI/Springer Innovations in Communication and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50184-6_4.

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Zhang, Haohan, Jinglin Li, and Quan Yuan. "Edge Service Migration for Vehicular Networks Based on Multi-agent Deep Reinforcement Learning." In Internet of Vehicles. Technologies and Services Toward Smart Cities. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38651-1_27.

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Jin, Wenquan, Vijender Kumar Solanki, Anh Ngoc Le, and Dohyeun Kim. "Real-Time Inference Approach Based on Gateway-Centric Edge Computing for Intelligent Services." In Intelligent Systems and Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2094-2_44.

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Jeske, Daniel R., Behrokh Samadi, Kazem Sohraby, Yung-Terng Wang, and Qinqing Zhang. "QoS with an Edge-Based Call Admission Control in IP Networks." In NETWORKING 2002: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47906-6_14.

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Chochliouros, Ioannis P., Ioannis Giannoulakis, Tassos Kourtis, et al. "A Model for an Innovative 5G-Oriented Architecture, Based on Small Cells Coordination for Multi-tenancy and Edge Services." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44944-9_59.

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Kireev, Vasiliy S., Pyotr V. Bochkaryov, Anna I. Guseva, Igor A. Kuznetsov, and Stanislav A. Filippov. "Monitoring System for the Housing and Utility Services Based on the Digital Technologies IIoT, Big Data, Data Mining, Edge and Cloud Computing." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27355-2_15.

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Xia, Xiaoyu, Feifei Chen, Qiang He, et al. "Graph-Based Optimal Data Caching in Edge Computing." In Service-Oriented Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33702-5_37.

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Conference papers on the topic "Edge-based services"

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Ghafouri, Saeid, Ali Akbar Saleh-Bigdeli, and Joseph Doyle. "Consolidation of Services in Mobile Edge Clouds using a Learning-based Framework." In 2020 IEEE World Congress on Services (SERVICES). IEEE, 2020. http://dx.doi.org/10.1109/services48979.2020.00037.

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Kim, Ku-Jin, Sun-Mi Park, and Yoo-Joo Choi. "Clothing Identification Based on Edge Information." In 2008 IEEE Asia-Pacific Services Computing Conference (APSCC). IEEE, 2008. http://dx.doi.org/10.1109/apscc.2008.205.

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Zhang, Detian, An Liu, Gaoming Jin, and Qing Li. "Edge-Based Shortest Path Caching for Location-Based Services." In 2019 IEEE International Conference on Web Services (ICWS). IEEE, 2019. http://dx.doi.org/10.1109/icws.2019.00060.

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Lei, Chao, and Hongjun Dai. "A Heuristic Services Binding Algorithm to Improve Fault-Tolerance in Microservice based Edge Computing Architecture." In 2020 IEEE World Congress on Services (SERVICES). IEEE, 2020. http://dx.doi.org/10.1109/services48979.2020.00031.

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Pang, Yue, Danshi Wang, Dongdong Wang, Luyao Guan, Chunyu Zhang, and Min Zhang. "A Space-Air-Ground Integrated Network Assisted Maritime Communication Network Based on Mobile Edge Computing." In 2020 IEEE World Congress on Services (SERVICES). IEEE, 2020. http://dx.doi.org/10.1109/services48979.2020.00060.

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Ravindran, Ravishankar, Xuan Liu, Asit Chakraborti, Xinwen Zhang, and Guoqiang Wang. "Towards software defined ICN based edge-cloud services." In 2013 IEEE 2nd International Conference on Cloud Networking (CloudNet). IEEE, 2013. http://dx.doi.org/10.1109/cloudnet.2013.6710583.

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Reddy Chintapalli, Venkatarami, Koteswararao Kondepu, Andrea Sgambelluri, et al. "Orchestrating Edge- and Cloud-based Predictive Analytics Services." In 2020 European Conference on Networks and Communications (EuCNC). IEEE, 2020. http://dx.doi.org/10.1109/eucnc48522.2020.9200902.

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Liu, Liangkai, Xingzhou Zhang, Mu Qiao, and Weisong Shi. "SafeShareRide: Edge-Based Attack Detection in Ridesharing Services." In 2018 IEEE/ACM Symposium on Edge Computing (SEC). IEEE, 2018. http://dx.doi.org/10.1109/sec.2018.00009.

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Louati, W., B. Jouaber, and D. Zeghlache. "Configurable software-based edge router architecture." In 2004 4th Workshop on Applications and Services in Wireless Networks, 2004. ASWN 2004. IEEE, 2004. http://dx.doi.org/10.1109/aswn.2004.185168.

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Baig, Roger, Roger Pueyo Centelles, Felix Freitag, and Leandro Navarro. "On edge microclouds to provide local container-based services." In 2017 Global Information Infrastructure and Networking Symposium (GIIS). IEEE, 2017. http://dx.doi.org/10.1109/giis.2017.8169801.

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