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A Survey on Reinforcement Learning-Aided Caching in Heterogeneous Mobile Edge Networks
2022
IEEE Access
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In this survey, reinforcement learning-aided mobile edge caching solutions are presented and classified, based on the networking architecture and optimization target. ...
An efficient technique to alleviate this issue is to bring the data closer to the users by exploiting cache-aided edge nodes, such as fixed and mobile access points, and even user devices. ...
VEHICULAR NETWORKS RL-aided edge caching in vehicular networks must address various challenges, related to the dynamicity of the network, the computing and power resources of vehicles and RSUs, as well ...
doi:10.1109/access.2022.3140719
fatcat:565r4jxrinfxtpgvuc5xfvxmle
Fog Computing Algorithms: A Survey and Research Opportunities
2021
Applied Computer Systems
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Fog computing offers better services to end users by bringing processing, storage, and networking closer to them. ...
The study also presents a systematic classification of the current fog computing algorithms and highlights the key challenges and research issues associated with them. ...
FOG COMPUTING AND ASSOCIATED TECHNOLOGIES The Fog is a distributed network that is closely associated with Cloud Computing and the Internet of Things.
A. ...
doi:10.2478/acss-2021-0017
fatcat:wf3pedj7fbddbdfjabz2nugwli
Task Offloading with Multi-Tier Computing Resources in Next Generation Wireless Networks
[article]
2022
arXiv
pre-print
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In this paper, we investigate key techniques and directions for wireless communications and resource allocation approaches to enable task offloading in multi-tier computing systems. ...
In order to provide low-latency services to heterogeneous users in the emerging iIoT, multi-tier computing was proposed by effectively combining edge computing and fog computing. ...
power, allocated bandwidth, computation capacity, and UAV 3-D placement. ...
arXiv:2205.13866v1
fatcat:kt7zx34yljfejnxoqo3zjng23i
A Survey on Applications of Cache-Aided NOMA
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2205.05321v1 fatcat:zdsvoxspdfgzvpbxelbuqp2cnq
In this survey, we focus on cache-aided NOMA-based wireless networks which can reap the benefits of both cache and NOMA; switching to NOMA from OMA enables cache-aided networks to push additional files ...
Beginning with fundamentals of cache-aided NOMA technology, we summarize the performance goals of cache-aided NOMA systems, present the associated design challenges, and categorize related recent literature ...
Haijun et al. propose a cache-aided NOMA-based Fog-computing radio access network (F-RAN) architecture for 5G networks and study the power and subchannel allocation problems to achieve high net utility ...
arXiv:2205.05321v2
fatcat:uft2rwiqivcuhldcajsvqbwr7u
A Review on Green Caching Strategies for Next Generation Communication Networks
2020
IEEE Access
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In [130] , a wireless-ICN architecture was introduced for dynamic power allocation at the network nodes based on network traffic and content popularity. ...
CACHE STORAGE PLACEMENT The caching units can be placed at any of the network nodes based on their position and allocated resources. However, this placement varies in wired and wireless networks. ...
doi:10.1109/access.2020.3040958
fatcat:stj6zehnh5a3jcznqckmwwtwbe
Computation Offloading and Content Caching Delivery in Vehicular Edge Computing: A Survey
[article]
2019
arXiv
pre-print
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This leads to other open problems for vehicles to offload and compute data at edge nodes, and also how data is cached in edge nodes and then disseminated to other vehicles. ...
In this paper, we initially present an overview of VEC architectures including types of layers, fog nodes, communication technologies and also vehicle applications, which are used in data offloading and ...
the network access, computing node and also caching node. ...
arXiv:1912.07803v1
fatcat:lup7y4n4wjeg7evw6h7rvovlu4
Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges
2019
Sensors
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In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. ...
Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies. ...
Cache placement in edge devices/fog nodes in a network improves the efficiency of a system in terms of low power consumption, low-latency, high throughput, and efficient spectrum use. ...
doi:10.3390/s19214807
pmid:31694254
pmcid:PMC6864669
fatcat:xdiwmkpkkrheni4chxi7kbuc6m
An Investigational Study and Analysis of Cloud-based Content Delivery Network: Perspectives
2018
International Journal of Advanced Computer Science and Applications
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The content management includes a major technical strategy in the network paradigm of the internet which is called a Content delivery network. ...
Much latest advancement in smartphones and smart devices which are content hungry require more efficient and reliable mechanism for the costeffective delivery of the contents irrespective of bottleneck ...
cloud environment and replica placement in the network cloud. ...
doi:10.14569/ijacsa.2018.091037
fatcat:c3f6cwyvubgizlyc2omu6rofpe
Deep Learning and Blockchain-empowered Security Framework for Intelligent 5G-enabled IoT
2021
IEEE Access
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However, such revolution also delivers considerable increment in data generation that further leads to a major requirement of intelligent and effective data analytic operation across the network. ...
The framework's hierarchical architecture wherein DL and blockchain operations emerge across the four layers of cloud, fog, edge, and user is presented. ...
associated fog node), and requesting (i.e., request processed data by an edge node from an associated fog node). ...
doi:10.1109/access.2021.3077069
fatcat:scwfhwldwnbwxkbgxozrk6gjma
Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey
2019
IEEE Access
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Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute-and data-intensive services with low latency. ...
reducing the traffic load on the cellular network and MEC infrastructure. ...
A cooperative caching method is presented in [186] by considering caching placement at both user nodes and relay nodes. The considered HetNet system contains macro BSs, low-power relays, and UEs. ...
doi:10.1109/access.2019.2953172
fatcat:zcrzkzd4xbgzhnf3ytggxtmgfi
Seamless communication techniques in mobile cloud computing: A survey
2021
ITU Journal
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Furthermore, some shortcomings associated with the presented methods are outlined, along with the current issues and research challenges faced in MCC. ...
or edge) to mobile computing networks. ...
A cooperative edge caching approach to reduce delays in clustered mobile networks by optimizing content placement, small cell base stations, and bandwidth allocation in large-scale user-centric mobile ...
doi:10.52953/xlej8917
fatcat:vyx2bxj7g5aqpfkyil46epujrq
A Survey of Architecture, Framework and Algorithms for Resource Management in Edge Computing
2020
EAI Endorsed Transactions on Energy Web
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The lucrative role of Internet of Things (IoT) and Edge, and the challenges posed by the dynamic technologies are presented. ...
This enormous expansion in latencies induces an adverse impact in the Quality of Service (QoS) and Quality of Experience (QoE) parameters. ...
[152,154,155]
Placement
Dynamic condition-aware
iterative techniques
Priced timed Petrinets
(PTPNs)
Fog-to-Cloud (F2C)
Dynamic behaviour
on performance, time
and cost. ...
doi:10.4108/eai.23-12-2020.167788
fatcat:vcok5rac35gajhvgtxcclawuje
A Comprehensive Review on Edge Computing
2023
International Journal for Research in Applied Science and Engineering Technology
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Significant research has been done in the field of edge computing, which is examined in terms of recent advances like mobile edge computing, cloudlets, and fog computing. ...
The prerequisites and open research issues in edge computing are discussed in the article's conclusion. ...
for resource allocation in the D2D assisted network. ...
doi:10.22214/ijraset.2023.48484
fatcat:q2wwfj473nba7blzo2fqd6qkj4
A Survey on Mobility Management for MEC-enabled Systems
2019
Zenodo
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Mobile Edge Computing (MEC) is a new network architecture concept. ...
In this paper, the state-of-the-art research efforts towards handling user mobility in a MEC environment for different kinds of services are surveyed. Also, open research problems are discussed. ...
ACKNOWLEDGMENT This research has been supported by European Union's H2020 research and innovation program under grant agreement H2020-MCSA-ITN-2016-SECRET 722424 [30] and the German Research Foundation ...
doi:10.5281/zenodo.4424864
fatcat:rxzahhhm4jc7rkobttchnosj3y
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
[article]
2022
arXiv
pre-print
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be considered in the fog landscape. ...
Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of fog/edge computing environments have made resource management even more challenging to ...
This work is partially funded by Chinese Academy of Sciences President's International Fellowship Initiative (Grant No. 2023VTC0006), and Shenzhen Science and Technology Program (Grant No. ...
arXiv:2212.04645v1
fatcat:ahkufs5im5ftnhtjvbyxj74lga
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