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Guest Editorial: Special Issue on Blockchain and Edge Computing Techniques for Emerging IoT Applications
2021
IEEE Internet of Things Journal
Focusing on the research of social-aware cloud computing, cooperative cell caching, and mobile traffic offloading, he has authored over 100 technical papers in ...
intelligent ultra-dense edge computing (I-UDEC) framework in 5G ultra-dense network environments and a novel two-timescale deep reinforcement learning (2Ts-DRL) algorithm to achieve real-time and low overhead ...
Gu et al., in "Joint chain-based service provisioning and request scheduling for blockchain-powered edge computing," redefined the joint problem of service provisioning and request scheduling in ultra-dense ...
doi:10.1109/jiot.2021.3050050
fatcat:rux57gjppjdqla556myxnvp4ve
Integration of Blockchain and Edge Computing in Internet of Things: A Survey
[article]
2022
arXiv
pre-print
The integration of blockchain and edge computing can further improve the resource utilization in terms of network, computing, storage, and security. ...
This paper aims to present a survey on the integration of blockchain and edge computing. In particular, we first give an overview of blockchain and edge computing. ...
Aiming at the coordination problem of computation offloading in mobile edge computing (MEC)enabled ultra-dense wireless networks, a task-VM (i.e., virtual machine) matching algorithm is introduced in ...
arXiv:2205.13160v1
fatcat:xwtdefh7pbhp7icrgqybw3dd2y
Delay reduction in MTC using SDN based offloading in Fog computing
2023
PLoS ONE
Due to limited resources in the Fog, a promising solution is offloading flows to other Fogs through a decision-based SDN controller. ...
SDN has suited the practical standard for FC systems. ...
To reduce delays and enhance performance in delay-sensitive tasks [27] , the authors investigated the offloading problem for requests in the software-defined ultra-dense networks. ...
doi:10.1371/journal.pone.0286483
fatcat:vffhu4kcavhrjbvrk7mzfl4g7q
Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review
2021
Applied Sciences
key resources similar to the available bandwidth in network communication channels. ...
The integration of network virtualization technologies creates the incentive to customize and dynamically manage the resources of a network, making network functions, and storage capabilities at the edge ...
networking (SDN), network function virtualization (NFV), and multi-access edge computing (MEC). ...
doi:10.3390/app12010221
fatcat:ulcj36pc55dyzc3blznphjx25q
Multi-Access Edge Computing: A Survey
2020
IEEE Access
Multi-access Edge Computing (MEC) is a key solution that enables operators to open their networks to new services and IT ecosystems to leverage edge-cloud benefits in their networks and systems. ...
Finally, we propose an architectural framework for a MEC-NFV environment based on the standard SDN architecture. ...
Authors in [128] investigate task offloading in ultra-dense network with the objective of minimizing the delay while enlarging the battery of user's equipment. ...
doi:10.1109/access.2020.3034136
fatcat:ncqn7le65jfshcqnqzy7twrwwu
Artificial intelligence for edge service optimization in Internet of Vehicles: A survey
2022
Tsinghua Science and Technology
Secondly, we review the edge service frameworks for IoV and explore the use of AI in edge server placement and service offloading. ...
Edge Computing (EC) that deploys physical resources near road-side units is involved in IoV to support real-time services for vehicular users. ...
In Ref. [86], an SDN-based cross-layer network slicing architecture was proposed for the service migration in mobile EC infrastructure. ...
doi:10.26599/tst.2020.9010025
fatcat:zgakvppxojawjb7cto4tu6237u
Towards Energy Efficient 5G Networks using Machine Learning: Taxonomy, Research Challenges, and Future Research Directions
2020
IEEE Access
These technologies include Software-Defined Network (SDN), Ultra-Dense Network (UDN), Network Function Virtualization (NFV), multi-access edge computing, and cloud computing. ...
Also, the beamforming in massive MIMO results in improved energy efficiency on the targeted coverage area [109] .
2) ULTRA DENSE NETWORK/DENSE SMALL CELL Ultra-dense networks were required to fulfill ...
Previously he was a Senior Scientist in the RD sector and was involved in enormous projects for PETRONAS. ...
doi:10.1109/access.2020.3029903
fatcat:mm5y33dxefh5lkcpydusqsoquy
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
[article]
2023
arXiv
pre-print
Towards this direction, we first examine the potential use cases in smart cities and possible upgrades required for the transition from traditional vehicular ad hoc networks (VANETs) to VaaS. ...
Smart cities demand resources for rich immersive sensing, ubiquitous communications, powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of applications, such as public ...
In VaaS, vehicles supply more ubiquitous SCCSI resources than ever before, forming an ultra-dense service mesh network. ...
arXiv:2304.11397v2
fatcat:bf3i4xpfxzfanf2nij6dp3hxyq
Artificial Intelligence-Empowered Edge of Vehicles: Architecture, Enabling Technologies, and Applications
2020
IEEE Access
Therefore, mobile edge computing (MEC) has the advantages of effectively utilizing idle computing and storage resources at the edge of the network and reducing the network transmission delay. ...
To substantially reduce the latency and the energy consumption, application work is offloaded from a mobile device to a remote cloud or a nearby mobile edge cloud for processing. ...
Reference [28] studies SDN in super-dense network task offloading problems and designs the edge of a cloud or offloads tasks on a local process scheme; the main calculation and control function is separated ...
doi:10.1109/access.2020.2983609
fatcat:b45abdrxbracnbfpvtvtu5uxui
5G Network: techniques to Increase Quality of Service and Quality of Experience
2022
International Journal of Computer Networks And Applications
This study will be a significant endeavor in choosing possible techniques for 5G networks and further investigating various combinations of such techniques for future works. ...
and NFV and SDN hybrid. ...
Ultra-Dense Network Ultra-dense deployment is another promising technology for the 5G cellular networks [35] . ...
doi:10.22247/ijcna/2022/214508
fatcat:x6wnwmbccrgwtbtfl4wornw4u4
Fog Computing Systems: State of the Art, Research Issues and Future Trends, with a Focus on Resilience
[article]
2020
arXiv
pre-print
Thus, we hope to provide new insights into the design and management of resilient FCSs that are formed by IoT devices, edge computer servers and wireless sensor networks; these systems can be modelled ...
This paper surveys the state of the art in the relevant fields, and discusses the research issues and future trends that are emerging. ...
David Hutchison is grateful to many colleagues in the EU COST Action RECODIS (CA15127) for discussions on the resilience of communication systems. ...
arXiv:1908.05077v4
fatcat:tgtn7rlkpnejxixctw5gorlxnu
Blockchain-Enabled Edge Intelligence for IoT: Background, Emerging Trends and Open Issues
2021
Future Internet
Motivated by the recent advancement of multi-access edge computing (MEC) and artificial intelligence (AI), blockchain-enabled edge intelligence has become an emerging technology for the Internet of Things ...
We review how blockchain-enabled edge intelligence works in the IoT domain, identify the emerging trends, and suggest open issues for further research. ...
Acknowledgments: We thank the editor and reviewers for their constructive comments.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/fi13020048
fatcat:2j6xvdr5hrckxeb5aku2zjzuba
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
2020
IEEE Access
For example, UAVs can act as hotpots for an ultra dense network, where the ground BS is overloaded. ...
Considering system resources, [155] reported that enabling MEC in IIoT systems can improve the system efficiency by jointly designing resource allocation and offloading based on an auction-based method ...
doi:10.1109/access.2020.3001277
fatcat:isme7xwfejf4pfnowosljxnzja
A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing
2020
IEEE Access
INDEX TERMS Internet of Vehicles, task offloading, heterogeneous wireless network architecture, mobile edge computing, combination auction, channel gain. 53262 VOLUME 8, 2020 ...
Then considering the limitedness, heterogeneity and task diversity of resources, we utilize matching model based on combination auction to design the offloading model. ...
Based on these challenges, this paper proposes an IoV task offloading solution for MEC, which based on combination auction matching model in heterogeneous wireless network. ...
doi:10.1109/access.2020.2980567
fatcat:pbabgwfbcjenbimyuwg2lfwbje
Resources Allocation for Distributed Systems: A Review
2021
Zenodo
in cloud computing, Direction Method of Multipliers (ADMM) algorithm for SDN Networking, FFR algorithm application in cellular network, Fairness-based Distributed Resource Allocation (FDRA) algorithm ...
The resource allocation for distributed systems such as cloud computing, cellular network, Software-Defined Networking (SDN), Radar Imaging and 5G Networks are used. ...
Mobile networking (5G) of the fifth generation would provide ultra-high bandwidth consumption and energy efficiency, and the ultra-dense heterogeneous network will become the primary infrastructure to ...
doi:10.5281/zenodo.4462087
fatcat:co2led6hybgmjoeeagghdx3jjq
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