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ECHO
2018
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking - MobiCom '18
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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
2018
IEEE Communications Surveys and Tutorials
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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)
2021
IEEE Access
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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]
2021
arXiv
pre-print
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2020 pre-print arXiv:2009.13012v1 fatcat:yaqrllqrafdvtltoyp62ufolsi
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
2020
IEEE Access
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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
2021
IEEE Open Journal of the Communications Society
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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
2019
IEEE Communications Surveys and Tutorials
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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]
2018
arXiv
pre-print
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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]
2019
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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
2019
IEEE Internet of Things Journal
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2019 pre-print arXiv:1901.06637v1 fatcat:rfau3tw4szfsrh6psxl4fu2c6u
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]
2021
arXiv
pre-print
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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
2020
ACM Transactions on Internet Technology
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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]
2020
arXiv
pre-print
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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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