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ECHO

Binh Nguyen, Tian Zhang, Bozidar Radunovic, Ryan Stutsman, Thomas Karagiannis, Jakub Kocur, Jacobus Van der Merwe
2018 Proceedings of the 24th Annual International Conference on Mobile Computing and Networking - MobiCom '18  
A cellular core network manages the state of cellular clients; it is essentially a large distributed state machine with very different virtualization challenges compared to typical cloud services.  ...  In this paper we present a novel cellular core network architecture, called ECHO 1 , particularly suited to public cloud deployments, where the availability guarantees might be an order of magnitude worse  ...  ACKNOWLEDGMENT We would like to thank our anonymous reviewers and shepherd for their valuable comments.  ... 
doi:10.1145/3241539.3241564 dblp:conf/mobicom/NguyenZRSKKM18 fatcat:aqp4pr4i6fgpzp2ncw5qzdht3m

Survey on Multi-Access Edge Computing for Internet of Things Realization

Pawani Porambage, Jude Okwuibe, Madhusanka Liyanage, Mika Ylianttila, Tarik Taleb
2018 IEEE Communications Surveys and Tutorials  
IoT is identified as a key use case of MEC, given MEC's ability to provide cloud platform and gateway services at the network edge.  ...  In this survey, we provide a holistic overview on the exploitation of MEC technology for the realization of IoT applications and their synergies.  ...  A SDN/NFV packet/optical transport network and edge/core cloud platform for E2E 5G and IoT services is presented in ADRENALINTE testbed [193] .  ... 
doi:10.1109/comst.2018.2849509 fatcat:fnksr3dbqfakzfvnopyyxjdlfm

IEEE Access Special Section Editorial: Mission-Critical Sensors and Sensor Networks (MC-SSN)

Qilian Liang, Tariq S. Durrani, Jinhwan Koh, Jing Liang, Yonghui Li, Xin Wang
2021 IEEE Access  
Algorithms are sought for fused and/or coherent cross-platform radio frequency (RF) sensing.  ...  To support critical missions, sensors and sensor networks need to be flexible and interactive and continuously work despite limited bandwidth, intermittent connectivity, and with a large number of devices  ...  image restoration in sensor networks, which formulates the hyper-Laplacian distribution to regularize the global gradient distribution.  ... 
doi:10.1109/access.2021.3068830 fatcat:mcmdtikg2vfqvokgu7pnm6xofq

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges [article]

Latif U. Khan, Walid Saad, Zhu Han, Ekram Hossain, Choong Seon Hong
2021 arXiv   pre-print
Second, we devise a taxonomy for federated learning over IoT networks.  ...  The Internet of Things (IoT) will be ripe for the deployment of novel machine learning algorithms for both network and application management.  ...  The two kinds of communication resources used in federated learning are core network and radio access network. For optical fiberbased core networks, there are enough communication resources.  ... 
arXiv:2009.13012v2 fatcat:4oqifqi5czfyxiqe7gjewmuzsq

A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning

Bo Ma, Weisi Guo, Jie Zhang
2020 IEEE Access  
This survey couples the potential of online big data analytics, cloud-edge computing, statistical machine learning, and proactive network optimisation in a common cross-layer wireless framework.  ...  The second part of the review focuses on exploiting and integrating the demand knowledge for a range of proactive optimisation techniques, including the key aspects of load balancing, mobile edge caching  ...  In these works, a cloud plane is responsible for global big data with large-scale and long-term (cloud computing) while local data is processed by an edge plane (edge computing) because of its small scale  ... 
doi:10.1109/access.2020.2975004 fatcat:ccl2trwgkrek5fmkorfwjesq6q

The Roadmap to 6G Security and Privacy

Pawani Porambage, Gurkan Gur, Diana Pamela Moya Osorio, Madhusanka Liyanage, Andrei Gurtov, Mika Ylianttila
2021 IEEE Open Journal of the Communications Society  
Although the fifth generation (5G) wireless networks are yet to be fully investigated, the visionaries of the 6th generation (6G) echo systems have already come into the discussion.  ...  In particular, we discuss the security considerations with 6G enabling technologies such as distributed ledger technology (DLT), physical layer security, distributed AI/ML, visible light communication  ...  The Commission is not responsible for any use that may be made of the information it contains. A.  ... 
doi:10.1109/ojcoms.2021.3078081 fatcat:r5g662rcxjcgvjfc2el3lesdzy

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 IEEE Communications Surveys and Tutorials  
In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas.  ...  We complete this survey by pinpointing current challenges and open future directions for research.  ...  into training large-scale deep neural networks on distributed systems.  ... 
doi:10.1109/comst.2019.2904897 fatcat:xmmrndjbsfdetpa5ef5e3v4xda

Integrated NFV/SDN Architectures: A Systematic Literature Review [article]

Michel S. Bonfim, Kelvin L. Dias, Stenio F. L. Fernandes
2018 arXiv   pre-print
SDN can provide connectivity between Virtual Network Functions (VNFs) in a flexible and automated way, whereas NFV can use SDN as part of a service function chain.  ...  Researchers have been trying to address reliability, performance, and scalability problems using different architectural designs.  ...  to scale resources up or down as conditions change, and iii) network resource isolation for improved security and reliability.  ... 
arXiv:1801.01516v1 fatcat:qpxp7o4p6bcsllzfabjssjs4p4

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas.  ...  We complete this survey by pinpointing current challenges and open future directions for research.  ...  The authors scale the overall neural network architecture and distribute its components hierarchically from cloud to end devices.  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde

Invalidation-Based Protocols for Replicated Datastores [article]

Antonios Katsarakis
2021 arXiv   pre-print
Distributed in-memory datastores underpin cloud applications that run within a datacenter and demand high performance, strong consistency, and availability.  ...  A replication protocol is responsible for ensuring strong consistency between the replicas of a datastore, even when faults occur, by determining the actions necessary to access and manipulate the data  ...  ECHO: A reliable distributed cellular core network for hyper-scale public clouds.  ... 
arXiv:2112.02405v1 fatcat:toi3wflouvbzngpdfzypw3l4li

A Survey on Cellular-connected UAVs: Design Challenges, Enabling 5G/B5G Innovations, and Experimental Advancements [article]

Debashisha Mishra, Enrico Natalizio
2020 arXiv   pre-print
cellular networks.  ...  The UAV ecosystem can benefit from existing 5G/B5G cellular networks, which can be exploited in different ways to enhance UAV communications.  ...  A software based service architecture running on a distributed cloud environment is demonstrated in [72] .  ... 
arXiv:2005.00781v1 fatcat:gnjjupum7zh25kwaetdtxzidja

UAV Communications for 5G and Beyond: Recent Advances and Future Trends

Bin Li, Zesong Fei, Yan Zhang
2019 IEEE Internet of Things Journal  
In this paper, a comprehensive survey on UAV communication towards 5G/B5G wireless networks is presented.  ...  Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and beyond 5G (B5G).  ...  January 23, 2019 DRAFT THIS ARTICLE HAS BEEN ACCEPTED FOR PUBLICATION IN A FUTURE ISSUE OF IEEE INTERNET OF THINGS JOURNAL. 15 UAV Core network backhaul backhaul Mobile devices A swarm of  ... 
doi:10.1109/jiot.2018.2887086 fatcat:n2gfsb2nirhknaamdnsatfkidq

Self-Evolving Integrated Vertical Heterogeneous Networks [article]

Amin Farajzadeh, Mohammad G. Khoshkholgh, Halim Yanikomeroglu, Ozgur Ercetin
2021 arXiv   pre-print
framework for self-evolving integrated vertical heterogeneous networks (SEI-VHetNets).  ...  Accordingly, the core challenges of integrating AI/ML in SEI-VHetNets are identified.  ...  Hence, cloud-based distributed computation units not only require high-performance systems, but also a strategy to scale up computation size with only modestly increased energy consumption.  ... 
arXiv:2106.13950v2 fatcat:z3a6vig6fza2bmnll4fodgczie

Five Challenges in Cloud-enabled Intelligence and Control

Tarek Abdelzaher, Yifan Hao, Kasthuri Jayarajah, Archan Misra, Per Skarin, Shuochao Yao, Dulanga Weerakoon, Karl-Erik Årzén
2020 ACM Transactions on Internet Technology  
Echo and Google Home), as well as language translation for mobile phones (e.g., SIRI and Google Assistant), done mostly in the cloud.  ...  A business, such as a management service for a shopping mall, for example, might host its own edge servers to satisfy the information processing and actuation needs of its local IoT devices.  ...  Local data centers within the core communication network are becoming a ACM Transactions on Internet Technology, Vol. 00, No. 0, Article 000. Publication date: 2019.  ... 
doi:10.1145/3366021 fatcat:ho3odcfhdzhhhgk4mimynjq4b4

IoT Behavioral Monitoring via Network Traffic Analysis [article]

Arunan Sivanathan
2020 arXiv   pre-print
For our first contribution, we collect traffic traces and characterize the network behavior of IoT devices via attributes from traffic patterns.  ...  While IoT networks have the potential to benefit our lives, they create privacy and security challenges not seen with traditional IT networks.  ...  Although typical enterprise IoTs are managed by the private cloud services, they may update the information to the public cloud APIs as well (e.g., a public transportation company which equipped GPS trackers  ... 
arXiv:2001.10632v1 fatcat:ylly7ksir5bpfhr3wplqsg6eta
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