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Search Results (21)
  • Open Access

    ARTICLE

    COCP: Coupling Parameters Content Placement Strategy for In-Network Caching-Based Content-Centric Networking

    Salman Rashid1, Shukor Abd Razak1, Fuad A. Ghaleb1,*, Faisal Saeed2, Eman H. Alkhammash3

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5523-5543, 2022, DOI:10.32604/cmc.2022.020587

    Abstract On-path caching is the prominent module in Content-Centric Networking (CCN), equipped with the capability to handle the demands of future networks such as the Internet of Things (IoT) and vehicular networks. The main focus of the CCN caching module is data dissemination within the network. Most of the existing strategies of in-network caching in CCN store the content at the maximum number of routers along the downloading path. Consequently, content redundancy in the network increases significantly, whereas the cache hit ratio and network performance decrease due to the unnecessary utilization of limited cache storage. Moreover, content redundancy adversely affects the… More >

  • Open Access

    ARTICLE

    A Dominating Set Routing Scheme for Adaptive Caching in Ad Hoc Network

    Raed Alsaqour1, Ammar Al-hamadani2, Maha Abdelhaq3,*, Joud Almeheimidy3

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1587-1603, 2022, DOI:10.32604/iasc.2022.021127

    Abstract Current efforts for providing an efficient dynamic source routing protocol (DSR) for use in multi-hop ad-hoc wireless are promising. This is since DSR has a unique characteristic in that it uses source routing, instead of relying on the routing table at each intermediate device. This study addresses the current challenges facing DSR protocol in terms of the dynamic changes of the route and how to update such changes into the route cache of the DSR. The challenges typically persist when a sudden route break occurs resulting in a delay in updating the new node location into the cache of the… More >

  • Open Access

    ARTICLE

    A DQN-Based Cache Strategy for Mobile Edge Networks

    Siyuan Sun1,*, Junhua Zhou2, Jiuxing Wen3, Yifei Wei1, Xiaojun Wang4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3277-3291, 2022, DOI:10.32604/cmc.2022.020471

    Abstract The emerging mobile edge networks with content caching capability allows end users to receive information from adjacent edge servers directly instead of a centralized data warehouse, thus the network transmission delay and system throughput can be improved significantly. Since the duplicate content transmissions between edge network and remote cloud can be reduced, the appropriate caching strategy can also improve the system energy efficiency of mobile edge networks to a great extent. This paper focuses on how to improve the network energy efficiency and proposes an intelligent caching strategy according to the cached content distribution model for mobile edge networks based… More >

  • Open Access

    ARTICLE

    Deep Reinforcement Learning Empowered Edge Collaborative Caching Scheme for Internet of Vehicles

    Xin Liu1, Siya Xu1, Chao Yang2, Zhili Wang1,*, Hao Zhang3, Jingye Chi1, Qinghan Li4

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 271-287, 2022, DOI:10.32604/csse.2022.022103

    Abstract With the development of internet of vehicles, the traditional centralized content caching mode transmits content through the core network, which causes a large delay and cannot meet the demands for delay-sensitive services. To solve these problems, on basis of vehicle caching network, we propose an edge collaborative caching scheme. Road side unit (RSU) and mobile edge computing (MEC) are used to collect vehicle information, predict and cache popular content, thereby provide low-latency content delivery services. However, the storage capacity of a single RSU severely limits the edge caching performance and cannot handle intensive content requests at the same time. Through… More >

  • Open Access

    ARTICLE

    ECC: Edge Collaborative Caching Strategy for Differentiated Services Load-Balancing

    Fang Liu1,*, Zhenyuan Zhang2, Zunfu Wang1, Yuting Xing3

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2045-2060, 2021, DOI:10.32604/cmc.2021.018303

    Abstract Due to the explosion of network data traffic and IoT devices, edge servers are overloaded and slow to respond to the massive volume of online requests. A large number of studies have shown that edge caching can solve this problem effectively. This paper proposes a distributed edge collaborative caching mechanism for Internet online request services scenario. It solves the problem of large average access delay caused by unbalanced load of edge servers, meets users’ differentiated service demands and improves user experience. In particular, the edge cache node selection algorithm is optimized, and a novel edge cache replacement strategy considering the… More >

  • Open Access

    ARTICLE

    Efficient Algorithms for Cache-Throughput Analysis in Cellular-D2D 5G Networks

    Nasreen Anjum1,*, Zhaohui Yang1, Imran Khan2, Mahreen Kiran3, Falin Wu4, Khaled Rabie5, Shikh Muhammad Bahaei1

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1759-1780, 2021, DOI:10.32604/cmc.2021.014635

    Abstract In this paper, we propose a two-tiered segment-based Device-to-Device (S-D2D) caching approach to decrease the startup and playback delay experienced by Video-on-Demand (VoD) users in a cellular network. In the S-D2D caching approach cache space of each mobile device is divided into two cache-blocks. The first cache-block reserve for caching and delivering the beginning portion of the most popular video files and the second cache-block caches the latter portion of the requested video files ‘fully or partially’ depending on the users’ video watching behaviour and popularity of videos. In this approach before caching, video is divided and grouped in a… More >

  • Open Access

    ARTICLE

    Efficient Virtual Resource Allocation in Mobile Edge Networks Based on Machine Learning

    Li Li1,*, Yifei Wei1, Lianping Zhang2, Xiaojun Wang3

    Journal of Cyber Security, Vol.2, No.3, pp. 141-150, 2020, DOI:10.32604/jcs.2020.010764

    Abstract The rapid growth of Internet content, applications and services require more computing and storage capacity and higher bandwidth. Traditionally, internet services are provided from the cloud (i.e., from far away) and consumed on increasingly smart devices. Edge computing and caching provides these services from nearby smart devices. Blending both approaches should combine the power of cloud services and the responsiveness of edge networks. This paper investigates how to intelligently use the caching and computing capabilities of edge nodes/cloudlets through the use of artificial intelligence-based policies. We first analyze the scenarios of mobile edge networks with edge computing and caching abilities,… More >

  • Open Access

    ARTICLE

    PPP: Prefix-Based Popularity Prediction for Efficient Content Caching in Contentcentric Networks

    Jianji Ren1, Shan Zhao1, Junding Sun1, Ding Li2, Song Wang3, Zongpu Jia1

    Computer Systems Science and Engineering, Vol.33, No.4, pp. 259-265, 2018, DOI:10.32604/csse.2018.33.259

    Abstract In the Content-Centric Networking (CCN) architecture, popular content can be cached in some intermediate network devices while being delivered, and the following requests for the cached content can be efficiently handled by the caches. Thus, how to design in-network caching is important for reducing both the traffic load and the delivery delay. In this paper, we propose a caching framework of Prefix-based Popularity Prediction (PPP) for efficient caching in CCN. PPP assigns a lifetime (in a cache) to the prefix of a name (of each cached object) based on its access history (or popularity), which is represented as a Prefix-Tree… More >

  • Open Access

    ARTICLE

    Edge Computing-Based Tasks Offloading and Block Caching for Mobile Blockchain

    Yong Yan1, Yao Dai2, *, Zhiqiang Zhou3, Wei Jiang4, Shaoyong Guo2

    CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 905-915, 2020, DOI:10.32604/cmc.2020.07425

    Abstract Internet of Things (IoT) technology is rapidly evolving, but there is no trusted platform to protect user privacy, protect information between different IoT domains, and promote edge processing. Therefore, we integrate the blockchain technology into constructing trusted IoT platforms. However, the application of blockchain in IoT is hampered by the challenges posed by heavy computing processes. To solve the problem, we put forward a blockchain framework based on mobile edge computing, in which the blockchain mining tasks can be offloaded to nearby nodes or the edge computing service providers and the encrypted hashes of blocks can be cached in the… More >

  • Open Access

    ARTICLE

    RETRACTED: Mitigating Content Caching Attack in NDN

    Zhiqiang Ruan1,*, Haibo Luo1, Wenzhong Lin1, Jie Wang2

    CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 483-499, 2018, DOI: 10.3970/cmc.2018.03687

    Abstract Content caching is a core component in Named Data Networking (NDN), where content is cached in routers and served for future requests. However, the adversary can launch verification attack by placing poisoned data into the network with a legitimate name and allow the routers in the delivery path to frequently identify the content. Since NDN employs digital signature on each piece of content, verifying all content will exhaust routers’ computational resources due to the massive data in the network. In this paper, we propose a selective verification scheme upon the contents that are hit in the content store and allow… More >

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