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Femto-Caching with Soft Cache Hits: Improving Performance through Recommendation and Delivery of Related Content [article]

Pavlos Sermpezis, Thrasyvoulos Spyropoulos, Luigi Vigneri, Theodoros Giannakas
2017 arXiv   pre-print
We propose to depart from the assumption of hard cache hits, common in existing works, and consider "soft" cache hits, where if the original content is not available, some related contents that are locally  ...  We formulate the problem of optimal edge caching with soft cache hits in a relatively generic setup, propose efficient algorithms, and analyze the expected gains.  ...  Cache Hits: (a) related content recommendation (that the user might not accept) , and (b) related content delivery.  ... 
arXiv:1702.04943v1 fatcat:o46ixwmsrbfnrdewqpdge2vvjy

Active Content Popularity Learning and Caching Optimization with Hit Ratio Guarantees

Srikanth Bommaraveni, Thang X. Vu, Symeon Chatzinotas, Bjorn Ottersten
2020 IEEE Access  
Edge caching is an effective solution to reduce delivery latency and network congestion by bringing contents close to end-users.  ...  The effectiveness of the proposed learning caching policies over the existing methods is demonstrated in terms of root mean square error, cache hit ratio, and cache size on a simulated dataset.  ...  ACKNOWLEDGMENT This article was presented in part at the IEEE Asilomar Conference on Signals, Systems, and Computers, 3-6 November 2019, Pacific Grove, CA, USA.  ... 
doi:10.1109/access.2020.3014379 fatcat:4yvtnov4yffoth5rjvutbqcdhm

Impact of Popular Content Relational Structure on Joint Caching and Recommendation Policies

Marina Costantini, Thrasyvoulos Spyropoulos
2020 International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks  
We then study how the characteristics of this content graph constrain the gains of designing jointly the caching and the recommendations with respect to just using a simple baseline in the soft cache hits  ...  Recent work has shown that the performance of caching systems can be boosted by the delivery of alternative but related content.  ...  ACKNOWLEDGEMENTS This work was partially funded by the IMT F&R program and by the ANR-17-CE25-0001 Jeunes Chercheuses et Jeunes Chercheurs project 5C-for-5G.  ... 
dblp:conf/wiopt/CostantiniS20 fatcat:xu5vmiseofctxdkjnopr64gvwu

Edge-Cloud Collaboration Enabled Video Service Enhancement: A Hybrid Human-Artificial Intelligence Scheme [article]

Dapeng Wu, Ruili Bao, Zhidu Li, Honggang Wang, Ruyan Wang
2021 arXiv   pre-print
A hybrid human-artificial intelligence approach is developed to improve the user hit rate for video caching.  ...  The effectiveness of the proposed video caching scheme and video delivery scheme is finally validated by extensive experiments with a real-world data set.  ...  In [10] , the caching and recommendation decisions were jointly optimized in the context of "soft cache hit" setup.  ... 
arXiv:2103.12516v1 fatcat:vwy56enzfbcytlw5rmk4eayxla

Network-aware Recommendations in the Wild: Methodology, Realistic Evaluations, Experiments [article]

Savvas Kastanakis, Pavlos Sermpezis, Vasileios Kotronis, Daniel Menasché, Thrasyvoulos Spyropoulos
2020 arXiv   pre-print
., 8 to 10 times increase in the cache hit ratio from cache-aware recommendations.  ...  Joint caching and recommendation has been recently proposed as a new paradigm for increasing the efficiency of mobile edge caching.  ...  Therefore, leveraging recommendations to steer content demand towards cached contents can significantly increase the cache hit ratio (network performance) and content delivery latency (user experience)  ... 
arXiv:2010.03183v1 fatcat:voiq7a6dmjcxplgc3woi7b62du

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 tutorial provides a brief overview of existing caching solutions, discusses seminal papers that open new directions in caching, and presents the contributions of this special issue.  ...  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.  ...  ACKNOWLEDGMENTS The opinions expressed in this paper are of the authors alone, and do not represent an official position of Huawei Technologies.  ... 
doi:10.1109/jsac.2018.2844939 fatcat:plpdir5xv5c35d5wdnbpgiz3ai

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 tutorial provides a brief overview of existing caching solutions, discusses seminal papers that open new directions in caching, and presents the contributions of this Special Issue.  ...  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.  ...  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

Wireless Caching: Making Radio Access Networks More than Bit-Pipelines

Wei Chen, H. Vincent Poor
2021 Network  
We revisit caching from a generalized cross-layer perspective, with a focus on its emerging opportunities, challenges, and theoretical performance limits.  ...  To make RANs even more proactive, we design caching and recommendation jointly, showing a user what it might be interested in and what has been done for it.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/network1020010 fatcat:rbg3aomri5aoderpjriwgjkkky

Network Friendly Recommendations: Optimizing for Long Viewing Sessions [article]

Theodoros Giannakas, Pavlos Sermpezis, Thrasyvoulos Spyropoulos
2021 arXiv   pre-print
Caching algorithms try to predict content popularity, and place the content closer to the users. Additionally, nowadays requests are increasingly driven by recommendation systems (RS).  ...  These important trends, point to the following: make RSs favor locally cached content, this way operators reduce network costs, and users get better streaming rates.  ...  Acknowledgments This research is funded by the ANR "5C-for-5G" project under grant ANR-17-CE25-0001, and the IMT F&R, "Joint Optimization of Mobile Content Caching and Recommendation" project.  ... 
arXiv:2110.00772v1 fatcat:7lresj7lqjew5jtn63kqkjzy6i

Cognitive Caching at the Edges for Mobile Social Community Networks: A Multi-Agent Deep Reinforcement Learning Approach

Milena Radenkovic, Vu San Ha Huynh
2020 IEEE Access  
Content caching in the current commercial content delivery networks (CDNs) allows reduction of duplicate traffic and improvement of QoS and QoE but it still suffers from surges of content traffic, network  ...  We show that CognitiveCache can respond and adapt to the spatial-temporal locality of dynamically changing content workloads and resources, improve the reliability and scalability of content sharing, enhance  ...  Content caching in content delivery networks (CDNs) [63, 64] , such as AWS Cloudfront [25] and Azure CDN [61] , allows improvement of users QoS and QoE but it still suffers from sparse network coverage  ... 
doi:10.1109/access.2020.3027707 fatcat:d5oiifmwnjf4roeifsy7oortn4

A Classification of the Enabling Techniques for Low Latency and Reliable Communications in 5G and Beyond: AI-Enabled Edge Caching

Lilian C. Mutalemwa, Seokjoo Shin
2020 IEEE Access  
We compare the performance of the solutions in terms of content delivery latency and cache hit rate.  ...  It is shown in Table 3 that the DL, DRL, and FL edge caching solutions are capable of achieving improved performance in terms of content delivery latency and cache hit rate to outperform the LRU and  ... 
doi:10.1109/access.2020.3037357 fatcat:khkeuvo6ujanhp42y2k372n5u4

An approximation algorithm for joint caching and recommendations in cache networks [article]

Dimitra Tsigkari, Thrasyvoulos Spyropoulos
2020 arXiv   pre-print
Likewise, recommendation decisions are made independently of the potential delivery quality of the recommended content.  ...  The aim of this paper is to jointly optimize caching and recommendations in a generic network of caches, with the objective of maximizing the quality of experience (QoE).  ...  The performance improvements are consistent for different choices of QoS and QoR functions (ψ and ϕ). V. RELATED WORK Hierarchical caching.  ... 
arXiv:2006.08421v1 fatcat:vl3cacpovzbyxlfi3mrqjbfwgu

Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey

Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Wei Zhou
2020 IEEE Access  
This paper comprehensively reviews the state of the art literature on the convergence of recommender systems and edge computing, and identify the future directions along this dimension.  ...  Under the explosive growth of information available on the Web, recommender systems have been used as an effective technology to filter useless information and attempt to recommend the most useful items  ...  They propose the concept of soft cache hits to satisfy the user instead satisfy every possible user request.  ... 
doi:10.1109/access.2020.2978896 fatcat:s6nzfjnconfxzm7twy5zmyl5gq

Shared Content Addressing Protocol (SCAP): Optimizing multimedia content distribution at the transport layer

K. De Schepper, B. De Vleeschauwer, C. Hawinkel, W. Van Leekwijck, J. Famaey, W. Van de Meerssche, F. De Turck
2012 2012 IEEE Network Operations and Management Symposium  
To make content distribution scalable, in-network optimization functions are needed such as caches.  ...  Scalable delivery is more important now video is the dominant traffic type and further growth is expected.  ...  For small caches, timing information in combination with sufficient upfront content request advertising [5] and recommendation based request overlap [13] can improve the cache performance dramatically  ... 
doi:10.1109/noms.2012.6211912 dblp:conf/noms/SchepperVHLFMT12 fatcat:jhxmgugqhnhodfwtq2zeyxvpvq

Deep Learning for Video Application in Cooperative Vehicle-Infrastructure System: A Comprehensive Survey

Beipo Su, Yongfeng Ju, Liang Dai
2022 Applied Sciences  
Therefore, the research value and significance of video applications over CVIS can be better reflected through deep learning.  ...  Then, we summarized the main methods of deep learning and deep reinforcement learning algorithms for video applications over CVIS, and made a comparative study of their performances.  ...  To minimize the content delivery latency, Dai et al. [79] designed an op cle edge caching and content delivery strategy using DRL.  ... 
doi:10.3390/app12126283 fatcat:icxi4by3mrhypai7xflbwqvisq
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