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1

Soleimani, Somayeh, and Xiaofeng Tao. "Caching and Placement for In-Network Caching in Device-to-Device Communications." Wireless Communications and Mobile Computing 2018 (September 26, 2018): 1–9. http://dx.doi.org/10.1155/2018/9539502.

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Caching content by users constitutes a promising solution to decrease the costly transmissions with going through the base stations (BSs). To improve the performance of in-network caching in device-to-device (D2D) communications, caching placement and content delivery should be jointly optimized. To this end, we jointly optimize caching decision and content discovery strategies by considering the successful content delivery in D2D links for maximizing the in-network caching gain through D2D communications. Moreover, an in-network caching placement problem is formulated as an integer nonlinear
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Chae, Seong Ho, and Wan Choi. "Caching Placement in Stochastic Wireless Caching Helper Networks: Channel Selection Diversity via Caching." IEEE Transactions on Wireless Communications 15, no. 10 (2016): 6626–37. http://dx.doi.org/10.1109/twc.2016.2586841.

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Shi, Fang, Lisheng Fan, Xin Liu, Zhenyu Na, and Yanchen Liu. "Probabilistic Caching Placement in the Presence of Multiple Eavesdroppers." Wireless Communications and Mobile Computing 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/2104162.

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The wireless caching has attracted a lot of attention in recent years, since it can reduce the backhaul cost significantly and improve the user-perceived experience. The existing works on the wireless caching and transmission mainly focus on the communication scenarios without eavesdroppers. When the eavesdroppers appear, it is of vital importance to investigate the physical-layer security for the wireless caching aided networks. In this paper, a caching network is studied in the presence of multiple eavesdroppers, which can overhear the secure information transmission. We model the locations
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Man, Dapeng, Yao Wang, Hanbo Wang, et al. "Information-Centric Networking Cache Placement Method Based on Cache Node Status and Location." Wireless Communications and Mobile Computing 2021 (September 14, 2021): 1–13. http://dx.doi.org/10.1155/2021/5648765.

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Information-Centric Networking with caching is a very promising future network architecture. The research on its cache deployment strategy is divided into three categories, namely, noncooperative cache, explicit collaboration cache, and implicit collaboration cache. Noncooperative caching can cause problems such as high content repetition rate in the web cache space. Explicit collaboration caching generally reflects the best caching effect but requires a lot of communication to satisfy the exchange of cache node information and depends on the controller to perform the calculation. On this basi
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Wang, Wuqu, Zhe Tao, Nan Liu, and Wei Kang. "Fundamental Limits of Coded Caching in Request-Robust D2D Communication Networks." Entropy 26, no. 3 (2024): 250. http://dx.doi.org/10.3390/e26030250.

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D2D coded caching, originally introduced by Ji, Caire, and Molisch, significantly improves communication efficiency by applying the multi-cast technology proposed by Maddah-Ali and Niesen to the D2D network. Most prior works on D2D coded caching are based on the assumption that all users will request content at the beginning of the delivery phase. However, in practice, this is often not the case. Motivated by this consideration, this paper formulates a new problem called request-robust D2D coded caching. The considered problem includes K users and a content server with access to N files. Only
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Liu, Yanpei, Yanru Bin, Ningning Chen, and Shuaijie Zhu. "Caching Placement Optimization Strategy Based on Comprehensive Utility in Edge Computing." Applied Sciences 13, no. 16 (2023): 9229. http://dx.doi.org/10.3390/app13169229.

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With the convergence of the Internet of Things, 5G, and artificial intelligence, limited network bandwidth and bursts of incoming service requests seem to be the most important factors affecting user experience. Therefore, caching technology was introduced. In this paper, a caching placement optimization strategy based on comprehensive utility (CPOSCU) in edge computing is proposed. Firstly, the strategy involves quantifying the placement factors of data blocks, which include the popularity of data blocks, the remaining validity ratio of data blocks, and the substitution rate of servers. By an
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Chao, Yichao, Hong Ni, and Rui Han. "RMBCC: A Replica Migration-Based Cooperative Caching Scheme for Information-Centric Networks." Electronics 13, no. 13 (2024): 2636. http://dx.doi.org/10.3390/electronics13132636.

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How to maximize the advantages of in-network caching under limited cache space has always been a key issue in information-centric networking (ICN). Replica placement strategies aim to fully utilize cache resources by optimizing the location and quantity distribution of replicas in the network, thereby improving the performance of the cache system. However, existing research primarily focuses on optimizing the placement of replicas along the content delivery path, which cannot avoid the inherent drawback of not being able to leverage off-path cache resources. The proposals for off-path caching
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Korupolu, Madhukar R., C. Greg Plaxton, and Rajmohan Rajaraman. "Placement Algorithms for Hierarchical Cooperative Caching." Journal of Algorithms 38, no. 1 (2001): 260–302. http://dx.doi.org/10.1006/jagm.2000.1129.

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9

Zhang, Xuewei, Lin Zhang, Yuan Ren, Jing Jiang, and Junxuan Wang. "Optimal Designs of SVC-Based Content Placement and Delivery in Wireless Caching Networks." Sensors 23, no. 10 (2023): 4823. http://dx.doi.org/10.3390/s23104823.

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To allieviate the heavy traffic burden over backhaul links and improve the user’s quality of service (QoS), edge caching plays an important role in wireless networks. This paper investigated the optimal designs of content placement and transmission in wireless caching networks. The contents to be cached and requested were encoded into individual layers by scalable video coding (SVC), and different sets of layers can provide different viewing qualities to end users. The demanded contents were provided by helpers caching the requested layers, or by the macro-cell base station (MBS) otherwise. In
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Dinh, Ngocthanh, and Younghan Kim. "An Energy Reward-Based Caching Mechanism for Information-Centric Internet of Things." Sensors 22, no. 3 (2022): 743. http://dx.doi.org/10.3390/s22030743.

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Existing information-centric networking (ICN) designs for Internet of Things (IoT) mostly make caching decisions based on probability or content popularity. From the energy-efficient perspective, those strategies may not always be energy efficient in resource-constrained IoT because without considering the energy reward of caching decisions, inappropriate routers and content objects may be selected for caching, which may lead to negative energy rewards. In this paper, we analyze the energy consumption of content caching and content retrieval in resource-constrained IoT and calculate caching en
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Mingming, Zhang, Cheng Minquan, Wang Jinyu, Zhong Xi, and Yishan Chen. "Improving Placement Delivery Array Coded Caching Schemes With Coded Placement." IEEE Access 8 (2020): 217456–62. http://dx.doi.org/10.1109/access.2020.3042849.

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Vikas, B. Wasade1 Nilesh Bodne2 Ruchika Nikhare3. "REVIEW ON MOBILITY-AWARE CACHING IN D2D NETWORKS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY [ICEMESM-18] (April 27, 2018): 196–200. https://doi.org/10.5281/zenodo.1232295.

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Caching at mobile devices can facilitate device-to-device (D2D) communications, which may significantly improve spectrum efficiency and alleviate the heavy burden on backhaul links. However, most previous works ignored user mobility, thus having limited practical applications. In this paper, we take advantage of the user mobility pattern by the inter-contact times between different users, and propose a mobility-aware caching placement strategy to maximize the data offloading ratio, which is defined as the percentage of the requested data that can be delivered via D2D links rather than through
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13

Wu, Honghai, Yizheng Fan, Yingda Wang, Huahong Ma, and Ling Xing. "A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery." Sensors 21, no. 15 (2021): 5033. http://dx.doi.org/10.3390/s21155033.

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With the explosive growth of smart devices and mobile applications, mobile core networks face the challenge of exponential growth in traffic and computing demand. Edge caching is one of the most promising solutions to the problem. 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 of duplicate data. Due to the promising advantages of edge caching, there have been many efforts motivated by this topic. In this paper, we have done an extensive su
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Prajwal Said, Ketaki Naik, Nupur Agrawal, Srushti Bhoite, and Sayali Shelar. "Apriori-Based Prefetching Files for Caching." International Research Journal on Advanced Engineering and Management (IRJAEM) 6, no. 07 (2024): 2348–53. http://dx.doi.org/10.47392/irjaem.2024.0339.

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The project proposes an innovative solution aimed at optimizing file system performance through predictive caching techniques integrated with a Graphical User Interface (GUI). The GUI facilitates user interaction by offering functionalities such as browsing files and displaying performance metrics via graphical representations of bandwidth and Input/Output Operations Per Second (IOPS). The functionality revolves around dynamically determining file placement on Solid State Drives (SSDs) or Hard Disk Drives (HDDs). The system employs predictive caching to identify frequently accessed files, ensu
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Bani-Bakr, Alaa, MHD Nour Hindia, Kaharudin Dimyati, Effariza Hanafi, and Tengku Faiz Tengku Mohmed Noor Izam. "Multi-Objective Caching Optimization for Wireless Backhauled Fog Radio Access Network." Symmetry 13, no. 4 (2021): 708. http://dx.doi.org/10.3390/sym13040708.

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Proactive content caching in a fog radio access network (F-RAN) is an efficient technique used to alleviate delivery delay and traffic congestion. However, the symmetric caching of the content is impractical due to the dissimilarity among the contents popularity. Therefore, in this paper, a multi-objective random caching scheme to balance the successful transmission probability (STP) and delay in wireless backhauled F-RAN is proposed. First, stochastic geometry tools are utilized to derive expressions of the association probability, STP, and average delivery delay. Next, the complexity is redu
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Naeem, Muhammad, Rashid Ali, Byung-Seo Kim, Shahrudin Nor, and Suhaidi Hassan. "A Periodic Caching Strategy Solution for the Smart City in Information-Centric Internet of Things." Sustainability 10, no. 7 (2018): 2576. http://dx.doi.org/10.3390/su10072576.

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Named Data Networking is an evolving network model of the Information-centric networking (ICN) paradigm which provides Named-based data contents. In-network caching is the responsible for dissemination of these contents in a scalable and cost-efficient way. Due to the rapid expansion of Internet of Things (IoT) traffic, ICN is envisioned to be an appropriate architecture to maintain the IoT networks. In fact, ICN offers unique naming, multicast communications and, most beneficially, in-network caching that minimizes the response latency and server load. IoT environment involves a study of ICN
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17

Liu, Xuemei, and Mengli Zhang. "Construction of Coded Caching Scheme Based on Vector Space over Finite Field." Ars Combinatoria 159, no. 1 (2024): 155–64. http://dx.doi.org/10.61091/ars159-13.

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Coded caching technology can better alleviate network traffic congestion. Since many of the centralized coded caching schemes now in use have high subpacketization, which makes scheme implementation more challenging, coded caching schemes with low subpacketization offer a wider range of practical applications. It has been demonstrated that the coded caching scheme can be achieved by creating a combinatorial structure named placement delivery array (PDA). In this work, we employ vector space over a finite field to obtain a class of PDA, calculate its parameters, and consequently achieve a coded
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18

Li, Wei, Peng Sun, and Rui Han. "Path Segmentation-Based Hybrid Caching in Information-Centric Networks." Future Internet 13, no. 1 (2021): 16. http://dx.doi.org/10.3390/fi13010016.

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Information-centric networks (ICNs) have received wide interest from researchers, and in-network caching is an important characteristic of ICN. The management and placement of contents are essential due to cache nodes’ limited cache space and the huge Internet traffic. This paper focuses on coordinating two cache metrics, namely user access latency and network resource utilization, and proposes a hybrid caching scheme called the path segmentation-based hybrid caching scheme (PSBC). We temporarily divide each data transmit path into a user-edge area and non-edge area. The user-edge area adopts
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19

Bani-Bakr, Alaa, Kaharudin Dimyati, MHD Nour Hindia, Wei Ru Wong, and Tengku Faiz Tengku Mohmed Noor Izam. "Joint Successful Transmission Probability, Delay, and Energy Efficiency Caching Optimization in Fog Radio Access Network." Electronics 10, no. 15 (2021): 1847. http://dx.doi.org/10.3390/electronics10151847.

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The fog radio access network (F-RAN) is considered an efficient architecture for caching technology as it can support both edge and centralized caching due to the backhauling of the fog access points (F-APs). Successful transmission probability (STP), delay, and energy efficiency (EE) are key performance metrics for F-RAN. Therefore, this paper proposes a proactive cache placement scheme that jointly optimizes STP, delay, and EE in wireless backhauled cache-enabled F-RAN. First, expressions of the association probability, STP, average delay, and EE are derived using stochastic geometry tools.
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20

Li, Yuanhang, Jinlin Wang, and Rui Han. "An On-Path Caching Scheme Based on the Expected Number of Copies in Information-Centric Networks." Electronics 9, no. 10 (2020): 1705. http://dx.doi.org/10.3390/electronics9101705.

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The Information-Centric Network (ICN) is one of the most influential future network architectures and in-network caching in ICN brings some helpful features, such as low latency and mobility support. How to allocate cache capacity and place content properly will greatly influence the performance of ICN. This paper focuses on the cache allocation problem and content placement problem under the given cache space budget. Firstly, a lightweight allocation method utilizing information of both topology and content popularity is proposed, to allocate cache space and get the expected number of copies
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21

Song, Jaeyoung, Hojin Song, and Wan Choi. "Optimal Content Placement for Wireless Femto-Caching Network." IEEE Transactions on Wireless Communications 16, no. 7 (2017): 4433–44. http://dx.doi.org/10.1109/twc.2017.2698447.

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22

Lee, Wonseok, Seung-Chan Lim, and Hyuncheol Park. "Optimal File Placement for Distributed Coded Caching Systems." Journal of Korean Institute of Communications and Information Sciences 43, no. 3 (2018): 506–14. http://dx.doi.org/10.7840/kics.2018.43.3.506.

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23

Saleem, Qudsia, Ikram Ud Din, Ahmad Almogren, Ibrahim Alkhalifa, Hasan Ali Khattak, and Joel J. P. C. Rodrigues. "Named Data Networking-Based On-Demand Secure Vehicle-To-Vehicle Communications." Wireless Communications and Mobile Computing 2021 (November 26, 2021): 1–15. http://dx.doi.org/10.1155/2021/1615015.

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The detection of secure vehicles for content placement in vehicle to vehicle (V2V) communications makes a challenging situation for a well-organized dynamic nature of vehicular ad hoc networks (VANET). With the increase in the demand of efficient and adoptable content delivery, information-centric networking (ICN) can be a promising solution for the future needs of the network. ICN provides a direct retrieval of content through its unique name, which is independent of locations. It also performs better in content retrieval with its in-network caching and named-based routing capabilities. Since
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24

Yogatama, Bobbi W., Weiwei Gong, and Xiangyao Yu. "Orchestrating data placement and query execution in heterogeneous CPU-GPU DBMS." Proceedings of the VLDB Endowment 15, no. 11 (2022): 2491–503. http://dx.doi.org/10.14778/3551793.3551809.

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There has been a growing interest in using GPU to accelerate data analytics due to its massive parallelism and high memory bandwidth. The main constraint of using GPU for data analytics is the limited capacity of GPU memory. Heterogeneous CPU-GPU query execution is a compelling approach to mitigate the limited GPU memory capacity and PCIe bandwidth. However, the design space of heterogeneous CPU-GPU query execution has not been fully explored. We aim to improve state-of-the-art CPU-GPU data analytics engine by optimizing data placement and heterogeneous query execution. First, we introduce a s
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Soleimani, Somayeh, and Xiaofeng Tao. "Cooperative Crossing Cache Placement in Cache-Enabled Device to Device-Aided Cellular Networks." Applied Sciences 8, no. 9 (2018): 1578. http://dx.doi.org/10.3390/app8091578.

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In cache-enabled device-to-device (D2D) -aided cellular networks, the technique of caching contents in the cooperative crossing between base stations (BSs) and devices can significantly reduce core traffic and enhance network capacity. In this paper, we propose a scheme that establishes device availability, which indicates whether a cache-enabled device can handle the transmission of the desired content within the required sending time, called the delay, while achieving optimal probabilistic caching. We also investigate the impact of transmission device availability on the effectiveness of a s
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Zhang, Wancai, and Rui Han. "An Efficient Multipath-Based Caching Strategy for Information-Centric Networks." Electronics 14, no. 3 (2025): 439. https://doi.org/10.3390/electronics14030439.

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The growing demand for large-scale data distribution and sharing presents significant challenges to content transmission within the current TCP/IP network architecture. To address these challenges, Information-Centric Networking (ICN) has emerged as a promising alternative, offering inherent support for multipath forwarding and in-network caching to improve data transmission performance. However, most existing ICN caching strategies primarily focus on utilizing resources along the default transmission path and its neighboring nodes, without fully exploiting the additional resources provided by
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Lin, Xiaosheng, Junjuan Xia, and Zhi Wang. "Probabilistic caching placement in UAV-assisted heterogeneous wireless networks." Physical Communication 33 (April 2019): 54–61. http://dx.doi.org/10.1016/j.phycom.2019.01.004.

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28

Zhang, Ran, Jiang Liu, Renchao Xie, Tao Huang, F. Richard Yu, and Yunjie Liu. "Service-aware optimal caching placement for named data networking." Computer Networks 174 (June 2020): 107193. http://dx.doi.org/10.1016/j.comnet.2020.107193.

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Xia, Huiyun, Xiaokang Zhou, and Cheng Li. "Security Aware Caching Placement Optimization Strategy in Cooperative Networks." Mobile Networks and Applications 25, no. 5 (2020): 1729–35. http://dx.doi.org/10.1007/s11036-020-01583-7.

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30

Ahmad, Fawad, Ayaz Ahmad, Irshad Hussain, Ghulam Muhammad, Zahoor Uddin, and Salman A. AlQahtani. "Proactive Caching in D2D Assisted Multitier Cellular Network." Sensors 22, no. 14 (2022): 5078. http://dx.doi.org/10.3390/s22145078.

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Cache-enabled networks suffer hugely from the challenge of content caching and content delivery. In this regard, cache-enabled device-to-device (D2D) assisted multitier cellular networks are expected to relieve the network data pressure and effectively solve the problem of content placement and content delivery. Consequently, the user can have a better opportunity to get their favored contents from nearby cache-enabled transmitters (CETs) through reliable and good-quality links; however, as expected, designing an effective caching policy is a challenging task due to the limited cache memory of
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Kumar, Sumit, Rajeev Tiwari, and Wei-Chiang Hong. "QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN." Sensors 21, no. 21 (2021): 7204. http://dx.doi.org/10.3390/s21217204.

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Content-Centric Networking (CCN) has emerged as a potential Internet architecture that supports name-based content retrieval mechanism in contrast to the current host location-oriented IP architecture. The in-network caching capability of CCN ensures higher content availability, lesser network delay, and leads to server load reduction. It was observed that caching the contents on each intermediate node does not use the network resources efficiently. Hence, efficient content caching decisions are crucial to improve the Quality-of-Service (QoS) for the end-user devices and improved network perfo
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32

Makhkamov, Bakhtiyor, and Nazirjon Khasanov. "A survey of cache placement algorithms in content delivery networks." E3S Web of Conferences 458 (2023): 09004. http://dx.doi.org/10.1051/e3sconf/202345809004.

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This paper analyzes cache deployment algorithms in content delivery networks (CDN), which are important for increasing content delivery speed, reducing network traffic, and ensuring scalability. A CDN is a geographically distributed network infrastructure, which is placed on the Internet and is aimed at reliably delivering content to users, as well as reducing traffic on the networks of communication operators. A content delivery network serves as an important element in today’s internet infrastructure to ensure fast and secure delivery of content around the world. When using a content deliver
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Guo, Jia, Yexuan Zhu, Jinqi Zhu, Fan Shen, Hui Gao, and Ye Tian. "Adaptive Streaming Transmission Optimization Method Based on Three-Dimensional Caching Architecture and Environment Awareness in High-Speed Rail." Electronics 13, no. 1 (2023): 41. http://dx.doi.org/10.3390/electronics13010041.

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In high-mobility scenarios, a user’s media experience is severely constrained by the difficulty of network channel prediction, the instability of network quality, and other problems caused by the user’s fast movement, frequent base station handovers, the Doppler effect, etc. To this end, this paper proposes a video adaptive transmission architecture based on three-dimensional caching. In the temporal dimension, video data are cached to different base stations, and in the spatial dimension video data are cached to base stations, high-speed trains, and clients, thus constructing a multilevel cac
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Qaiser, Firdous, Mudassar Hussain, Abdul Ahad, and Ivan Miguel Pires. "Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices." PeerJ Computer Science 10 (February 8, 2024): e1854. http://dx.doi.org/10.7717/peerj-cs.1854.

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Named Data Networking (NDN) has emerged as a promising network architecture for content delivery in edge infrastructures, primarily due to its name-based routing and integrated in-network caching. Despite these advantages, sub-optimal performance often results from the decentralized decision-making processes of caching devices. This article introduces a paradigm shift by implementing a Software Defined Networking (SDN) controller to optimize the placement of highly popular content in NDN nodes. The optimization process considers critical networking factors, including network congestion, securi
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Yovita, Leanna Vidya, and Nana Rachmana Syambas. "Caching on Named Data Network: a Survey and Future Research." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4456–66. https://doi.org/10.11591/ijece.v8i6.pp4456-4466.

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The IP-based system cause inefficient content delivery process. This inefficiency was attempted to be solved with the Content Distribution Network. A replica server is located in a particular location, usually on the edge router that is closest to the user. The user’s request will be served from that replica server. However, caching on Content Distribution Network is inflexible. This system is difficult to support mobility and conditions of dynamic content demand from consumers. We need to shift the paradigm to content-centric. In Named Data Network, data can be placed on the content sto
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Sheraz, Muhammad, Shahryar Shafique, Sohail Imran, et al. "Mobility-Aware Data Caching to Improve D2D Communications in Heterogeneous Networks." Electronics 11, no. 21 (2022): 3434. http://dx.doi.org/10.3390/electronics11213434.

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User Equipment (UE) is equipped with limited cache resources that can be utilized to offload data traffic through device-to-device (D2D) communications. Data caching at a UE level has the potential to significantly alleviate data traffic burden from the backhaul link. Moreover, in wireless networks, users exhibit mobility that poses serious challenges to successful data transmission via D2D communications due to intermittent connectivity among users. Users’ mobility can be exploited to efficiently cache contents by observing connectivity patterns among users. Therefore, it is crucial to develo
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37

T., M. Ayenew D. Xenakis N. Passas and L. Merakos. "Cooperative Content Caching in MEC-enabled Heterogeneous Cellular Networks." IEEE Access 9 (July 19, 2021): 98883–903. https://doi.org/10.1109/ACCESS.2021.3095356.

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Multimedia content delivery through the cellular infrastructure increases fast due to the enormous volumes of mobile video traffic generated by the billions of end devices populating the mobile data network. A critical mass of mobile video content requests refers to the consumption of the same popular video content, which is consumed by different end terminals spanning small geographical regions. Such content requests put a great burden on the backhaul of content-agnostic cellular networks, which fail to exploit the correlation of video requests to decongest their backhaul links. This creates
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38

Jeon, Sang-Woon, and Sung Ho Chae. "Two-Stage Interference Cancellation for Device-to-Device Caching Networks." Sensors 20, no. 3 (2020): 780. http://dx.doi.org/10.3390/s20030780.

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Wireless device-to-device (D2D) caching networks are studied, in which n nodes are distributed uniformly at random over the network area. Each node caches M files from the library of size m ≥ M and independently requires a file from the library. Each request will be served by cooperative D2D transmission from other nodes having the requested file in their cache memories. In many practical sensor or Internet of things (IoT) networks, there may exist simple sensor or IoT devices that are not able to perform real-time rate and power control based on the reported channel quality information (CQI).
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Wu, Jingyan, Jiawei Zhang, and Yuefeng Ji. "DCEC: D2D-Enabled Cost-Aware Cooperative Caching in MEC Networks." Electronics 12, no. 9 (2023): 1974. http://dx.doi.org/10.3390/electronics12091974.

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Various kinds of powerful intelligent mobile devices (MDs) need to access multimedia content anytime and anywhere, which places enormous pressure on mobile wireless networks. Fetching content from remote sources may introduce overly long accessing delays, which will result in a poor quality of experience (QoE). In this article, we considered the advantages of combining mobile/multi-access edge computing (MEC) with device-to-device (D2D) technologies. We propose a D2D-enabled cooperative edge caching (DCEC) architecture to reduce the delay of accessing content. We designed the DCEC caching mana
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Nazar, Khola, Yousaf Saeed, Abid Ali, et al. "Towards Intelligent Zone-Based Content Pre-Caching Approach in VANET for Congestion Control." Sensors 22, no. 23 (2022): 9157. http://dx.doi.org/10.3390/s22239157.

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In vehicular ad hoc networks (VANETs), content pre-caching is a significant technology that improves network performance and lowers network response delay. VANET faces network congestion when multiple requests for the same content are generated. Location-based dependency requirements make the system more congested. Content pre-caching is an existing challenge in VANET; pre-caching involves the content’s early delivery to the requested vehicles to avoid network delays and control network congestion. Early content prediction saves vehicles from accidents and road disasters in urban environments.
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Zhang, Jun, Fengzhu Liang, Bin Li, Zheng Yang, Yi Wu, and Hongbo Zhu. "Placement optimization of caching UAV-assisted mobile relay maritime communication." China Communications 17, no. 8 (2020): 209–19. http://dx.doi.org/10.23919/jcc.2020.08.017.

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42

Song, Jaeyoung, and Wan Choi. "Mobility-Aware Content Placement for Device-to-Device Caching Systems." IEEE Transactions on Wireless Communications 18, no. 7 (2019): 3658–68. http://dx.doi.org/10.1109/twc.2019.2916781.

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Wang, Yue, Xiaofeng Tao, Xuefei Zhang, and Yu Gu. "Cooperative Caching Placement in Cache-Enabled D2D Underlaid Cellular Network." IEEE Communications Letters 21, no. 5 (2017): 1151–54. http://dx.doi.org/10.1109/lcomm.2017.2664805.

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Zhong, Guiting, Jian Yan, and Linling Kuang. "QoE-driven social aware caching placement for terrestrial-satellite networks." China Communications 15, no. 10 (2018): 60–72. http://dx.doi.org/10.1109/cc.2018.8485469.

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Wan, Kai, Daniela Tuninetti, and Pablo Piantanida. "An Index Coding Approach to Caching With Uncoded Cache Placement." IEEE Transactions on Information Theory 66, no. 3 (2020): 1318–32. http://dx.doi.org/10.1109/tit.2020.2967753.

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Bakiras, Spiridon, and Thanasis Loukopoulos. "Combining replica placement and caching techniques in content distribution networks." Computer Communications 28, no. 9 (2005): 1062–73. http://dx.doi.org/10.1016/j.comcom.2005.01.012.

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Li, Chenglin, Laura Toni, Junni Zou, Hongkai Xiong, and Pascal Frossard. "QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming." IEEE Transactions on Multimedia 20, no. 4 (2018): 965–84. http://dx.doi.org/10.1109/tmm.2017.2757761.

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Zhao, Hongna, Chunxi Li, Yongxiang Zhao, Baoxian Zhang, and Cheng Li. "Transcoding Based Video Caching Systems: Model and Algorithm." Wireless Communications and Mobile Computing 2018 (August 1, 2018): 1–8. http://dx.doi.org/10.1155/2018/1818690.

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Abstract:
The explosive demand of online video watching brings huge bandwidth pressure to cellular networks. Efficient video caching is critical for providing high-quality streaming Video-on-Demand (VoD) services to satisfy the rapid increasing demands of online video watching from mobile users. Traditional caching algorithms typically treat individual video files separately and they tend to keep the most popular video files in cache. However, in reality, one video typically corresponds to multiple different files (versions) with different sizes and also different video resolutions. Thus, caching of suc
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Chao, Yichao, Hong Ni, and Rui Han. "A Path Load-Aware Based Caching Strategy for Information-Centric Networking." Electronics 11, no. 19 (2022): 3088. http://dx.doi.org/10.3390/electronics11193088.

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Ubiquitous in-network caching plays an important role in improving the efficiency of content access and distribution in Information-Centric Networks (ICN). Content placement strategies, which determine the location distribution of content replicas in the network, have a decisive impact on the performance of the cache system. Existing strategies primarily focus on pushing popular content to the network edge, aiming to improve the overall cache hit ratio while neglecting to effectively balance the traffic load between network links; this leads to insufficient utilization of network bandwidth res
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Caspart, Rene, Max Fischer, Manuel Giffels, et al. "Advancing throughput of HEP analysis work-flows using caching concepts." EPJ Web of Conferences 214 (2019): 04007. http://dx.doi.org/10.1051/epjconf/201921404007.

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High throughput and short turnaround cycles are core requirements for efficient processing of data-intense end-user analyses in High Energy Physics (HEP). Together with the tremendously increasing amount of data to be processed, this leads to enormous challenges for HEP storage systems, networks and the data distribution to computing resources for end-user analyses. Bringing data close to the computing resource is a very promising approach to solve throughput limitations and improve the overall performance. However, achieving data locality by placing multiple conventional caches inside a distr
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