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The Role of Caching in Future Communication Systems and Networks [article]

Georgios S. Paschos, George Iosifidis, Meixia Tao, Don Towsley, Giuseppe Caire
2018 arXiv   pre-print
This paper has the following ambitious goal: to convince the reader that content caching is an exciting research topic for the future communication systems and networks.  ...  Novel caching techniques promise to push the network performance to unprecedented limits, but also pose significant technical challenges.  ...  The authors would like to acknowledge the excellent work of all reviewers who participated in this double JSAC Issue; and the great support they received from Max Henrique Machado Costa, JSAC Senior Editor  ... 
arXiv:1805.11721v1 fatcat:ohyzazkcofh7pe7ifhmaynjl5i

The Role of Caching in Future Communication Systems and Networks

Georgios S. Paschos, George Iosifidis, Meixia Tao, Don Towsley, Giuseppe CaireIEEE
2018 IEEE Journal on Selected Areas in Communications  
This paper has the following ambitious goal: to convince the reader that content caching is an exciting research topic for the future communication systems and networks.  ...  Novel caching techniques promise to push the network performance to unprecedented limits, but also pose significant technical challenges.  ...  The authors would like to acknowledge the excellent work of all reviewers who participated in this double JSAC Issue; and the great support they received from Max Henrique Machado Costa, JSAC Senior Editor  ... 
doi:10.1109/jsac.2018.2844939 fatcat:plpdir5xv5c35d5wdnbpgiz3ai

Caching at the wireless edge: design aspects, challenges, and future directions

Dong Liu, Binqiang Chen, Chenyang Yang, Andreas F. Molisch
2016 IEEE Communications Magazine  
We then discuss the two aspects of caching systems, namely content placement and delivery.  ...  Caching at the wireless edge is a promising way of boosting spectral efficiency and reducing energy consumption of wireless systems.  ...  They then discuss the two aspects of caching systems, content placement and delivery.  ... 
doi:10.1109/mcom.2016.7565183 fatcat:lg6hxjjko5cffc5objvqtdpsry

Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey [article]

Junaid Shuja, Kashif Bilal, Waleed Alasmary, Hassan Sinky, Eisa Alanazi
2020 arXiv   pre-print
However, such estimates should not be mapped to an edge network with particular social and geographic characteristics.  ...  , and optimize cache placement and replacement strategies provided a set of constraints and predictions about the state of the network.  ...  Cache placement can also be federated and collaborated among MNOs to reduce redundancy [107] .  ... 
arXiv:2006.16864v4 fatcat:fwayzkv5vrghzayqxq5sgfyh2u

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

Honghai Wu, Yizheng Fan, Yingda Wang, Huahong Ma, Ling Xing
2021 Sensors  
caching placement optimization, policy design, to the content delivery process.  ...  The main purpose of edge caching is to place popular content that users need at the edge of the network, borrow free space to reduce user waiting time, and lighten the network load by reducing the amount  ...  In order to minimize the overhead of collaborative caching, Jiang et al. [65] used Femto BSs to collaborate with users for content caching and delivery.  ... 
doi:10.3390/s21155033 fatcat:fdtipxzm6rg4fckn5gfqvfpj2i

Wireless caching: technical misconceptions and business barriers

Georgios Paschos, Ejder Bastug, Ingmar Land, Giuseppe Caire, Merouane Debbah
2016 IEEE Communications Magazine  
In this article we discuss several technical misconceptions with the aim to uncover enabling research directions for caching in wireless systems.  ...  Caching is a hot research topic and poised to develop into a key technology for the upcoming 5G wireless networks.  ...  What are the prospects of the required collaboration among the stakeholders?  ... 
doi:10.1109/mcom.2016.7537172 fatcat:soowuqbjgrh2nmtpyjgh4h6fye

Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions

Behrouz Jedari, Gopika Premsankar, Gazi Illahi, Mario Di Francesco, Abbas Mehrabi, Antti Yla-Jaaski
2020 IEEE Communications Surveys and Tutorials  
., live content sharing, gaming, and augmented reality) have leveraged edge-C3 in diverse scenarios involving video streaming in both the downlink and the uplink.  ...  To this aim, edge caching, computing, and communication (edge-C3) have emerged to bring network resources (i.e., bandwidth, storage, and computing) closer to end users.  ...  However, methods leveraging LRU/LFU can result in poor performance in wireless edge caching scenarios because UEs may be associated with different base stations at different time periods (e.g., due to  ... 
doi:10.1109/comst.2020.3035427 fatcat:ialgflav5nao3fwptbmyvtfhpa

Edge Caching Based on Collaborative Filtering for Heterogeneous ICN-IoT Applications

Divya Gupta, Shalli Rani, Syed Hassan Ahmed, Sahil Verma, Muhammad Fazal Ijaz, Jana Shafi
2021 Sensors  
This collaborative filtering-based content caching strategy would intelligently cache content on edge nodes for traffic management at cloud databases.  ...  In this paper, we propose an enhanced ICN-IoT content caching strategy by enabling artificial intelligence (AI)-based collaborative filtering within the edge cloud to support heterogeneous IoT architecture  ...  Proposed Framework The AI-enabled content placement and caching among edge nodes to support heterogeneous IoT applications is proposed using collaborative filtering technique.  ... 
doi:10.3390/s21165491 fatcat:6gysgdfft5a7vecbkvjyheazjy

A Survey on Caching in Mobile Edge Computing

Yuhan Zhao, Wei Zhang, Longquan Zhou, Wenpeng Cao, Bithas Petros
2021 Wireless Communications and Mobile Computing  
In this paper, we intend to begin with reviews on edge caching. First, we make a detailed overview of mobile edge caching.  ...  To effectively address the record-breaking growth of data traffic, we also have to come up with new caching mechanisms in coping with users' demanding QoE along with other aspects, such as data privacy  ...  content placement.  ... 
doi:10.1155/2021/5565648 fatcat:zjs3yrgccba5vdpdtd2gwr2wcu

The Application of Graph Neural Network Based on Edge Computing in English Teaching Mode Reform

Yunlong Huang, Yanqiu Wang, Zhiguo Qu
2022 Wireless Communications and Mobile Computing  
In the experiment, the LFU-LRU joint cache placement strategy used in this article has a cache hit rate of up to 99%.  ...  from cloud to edge of the network closer to users.  ...  Edge computing can quickly obtain user browsing data and cache the recommended content for the next time period locally.  ... 
doi:10.1155/2022/2611923 fatcat:knlt6n2e3jhbtagjsk2fgq2vby

A Survey on Reinforcement Learning-Aided Caching in Heterogeneous Mobile Edge Networks

Nikolaos Nomikos, Spyros Zoupanos, Themistoklis Charalambous, Ioannis Krikidis
2022 IEEE Access  
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.  ...  INDEX TERMS 6G, edge caching, heterogeneous networks, machine learning, mobile edge networks, reinforcement learning.  ...  In cooperative caching multi-agent learning, edge nodes determine their caching policies and collaborate with neighboring nodes to optimize content placement at a system level.  ... 
doi:10.1109/access.2022.3140719 fatcat:565r4jxrinfxtpgvuc5xfvxmle

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges [article]

Muhammad Asif Khan, Emna Baccour, Zina Chkirbene, Aiman Erbad, Ridha Hamila, Mounir Hamdi, Moncef Gabbouj
2022 arXiv   pre-print
To meet the latency requirements and avoid the end-to-end communication with remote cloud data centers, MEC allows to store and process video content (e.g., caching, transcoding, pre-processing) at the  ...  Mobile Edge Computing (MEC) is an emerging paradigm that extends cloud computing capabilities to the edge of the network i.e., at the base station level.  ...  The D2D devices collaborate with each other to share their computation resources controlled by the base station (associated edge server).  ... 
arXiv:2209.05761v1 fatcat:4kypwtf3ojfebiydfmtxqk4pzi

Modifying NFD for NDN Experimentation: A Review

Egil Olsen
2020 figshare.com  
In this paper, we present how community researches have experimented and modified NFD to enable experimentation with NDN in different cases and applications.  ...  In [24] , normal users take more time to obtain contents due to the attack. There are some countermeasures against cache pollution attack in NDN, but most of them focus on full content names.  ...  [33] present a peer-to-peer application for live streaming of video content encoded at multiple bit rates.  ... 
doi:10.6084/m9.figshare.12948767.v1 fatcat:tk6ozvaxffcexkajd7i53yzovq

A Comprehensive Study of Caching Effects on Fog Computing Performance

Marwa Mahfodh Abdulqadir, Azar Abid Salih, Omar M. Ahmed, Dathar Abas Hasan, Lailan M. Haji, Sarkar Hasan Ahmed, Rowaida Khalil Ibrahim, Karzan H. Sharif, Hivi Ismat Dino
2021 Asian Journal of Research in Computer Science  
The fog's main task is to access the data generated by the IoT devices near the edge.  ...  Fog computing enables sufficient management for the services and resources by keeping the devices closer to the network edge.  ...  Research [3] The issue of online content placement with undetermined content popularity was investigated.  ... 
doi:10.9734/ajrcos/2021/v10i430246 fatcat:fcf2vyeoabcv7kgoqas4cgtpfq

A Survey on Mobility Management for MEC-enabled Systems

Mahshid Mehrabi, Hani Salah, Frank H.P. Fitzek
2019 Zenodo  
Mobile Edge Computing (MEC) is a new network architecture concept.  ...  Aiming to mitigate the root cause of latency as well as long distance between devices and central cloud, MEC brings the computation and storage resources as close as possible to end devices.  ...  The authors alone are responsible for the content of the paper.  ... 
doi:10.5281/zenodo.4424864 fatcat:rxzahhhm4jc7rkobttchnosj3y
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