Resource-Saving File Management Scheme for Online Video Provisioning on Content Delivery Networks

Kuo, Wen-Hsing; Lin, Yung-Hsuan

doi:10.1109/tc.2015.2456018

Cited by 8 publications

(5 citation statements)

References 20 publications

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“…ese actions represent different interest of the user. us, they are of different meanings [15], as shown in Table 1.…”

Section: Update Of the User Interest Modelmentioning

confidence: 99%

Analysis of User Personalized Retrieval of Multimedia Digital Archives Dependent on BP Neural Network Algorithm

Wang

2021

Advances in Multimedia

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This paper briefly introduces the characteristics of content-based multimedia retrieval under the information background, analyzes the implementation process of these technologies in the multimedia archives retrieval system including video and image information of digital archives, and points out that the content-based multimedia retrieval technology is bound to be organically combined with the traditional text retrieval methods. The information retrieval technologies in the past can only comply with the specific requirements of customers. Due to their characteristics of universality, they can hardly meet the demands of different environments, various purposes, and different times at the same time yet. Researchers have put forward personalized retrieval of multimedia files based on the BP neural network computing. In this way, the interest model of customers can be analyzed based on the characteristics of the different classification areas of users. Subsequently, the corresponding calculations are carried out, and the model is updated accordingly. Through the experiments, it is verified that the probability model put forward in this paper is the optimal solution to express the interest of customers and its changes.

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“…ese actions represent different interest of the user. us, they are of different meanings [15], as shown in Table 1.…”

Section: Update Of the User Interest Modelmentioning

confidence: 99%

Analysis of User Personalized Retrieval of Multimedia Digital Archives Dependent on BP Neural Network Algorithm

Wang

2021

Advances in Multimedia

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“…Based on the aforementioned architectures, some more practical settings are also studied. In [26], Kuo et al consider the limited replication overhead in cache servers, and present a strategy called adaptive data placement (ADP). In [27], in order to solve the challenge of providing scalable video streaming for adaptive requests with different bit rates, Li et al propose a heuristic strategy which optimizes cache placement decisions.…”

Section: Related Workmentioning

confidence: 99%

Cache Replacement Strategy With Limited Service Capacity in Heterogeneous Networks

Jiang

Zhang

2020

IEEE Access

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Recently, cellular networks face a huge challenge to satisfy large increment of user demands for higher-speed and lower-latency communication service. One promising solution is to apply the cache technology in edge cache networks to reduce redundant data transmission. The cache technology is effective, but the cache capacity is limited. Researchers have proposed various cache strategies to efficiently utilize the limited cache capacity. However, most existing solutions have not taken into account the service capacity limitation of mobile devices. In this paper, we propose a cache replacement strategy for heterogeneous networks considering the limitation of service capacity and user mobility. In the cache replacement strategy, we utilize the user characteristics, such as user mobility and file popularity, to estimate the user demands, and then define the system cost. We formulate the cache strategy design as a mixed integer linear programming problem to minimize the system cost, and use Lagrangian relaxation and hierarchical primal-dual decomposition method to solve this problem. Numerical results show that the proposed cache strategy can significantly reduce the system cost and increase the cache hit ratio compared to the cache strategy that does not consider the limitation of user service capacity.

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“…Due to the heavy burden on the backhaul links, latency, and other reasons, the traditional network cannot easily accommodate user demands. Therefore, mobile edge computation and caching at the edge of the cellular network is adapted in existing literatures [36], which bears the limitation and improve the QoS with high throughput [37][38][39]. Different communication technique with caching and computing as shown in Figure 6 below:…”

Section: E Efficient Mobile Edge Computing and Cachingmentioning

confidence: 99%

An Investigational Study and Analysis of Cloud-based Content Delivery Network: Perspectives

Jayakumar¹,

Prakash²,

Akki³

2018

ijacsa

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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. The design and the deployment of the CDN shall ensure optimal Quality of services (QoS). This paper aims to brief the taxonomy of the CDN along with its typical architecture. 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 constraints that leads to redesign the entire architecture of CDN on the cloud as CCDN or a new business model of CCDN as a service. The challenges of design for CCDN along with the evolved architecture are discussed in this paper.

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Resource-Saving File Management Scheme for Online Video Provisioning on Content Delivery Networks

Cited by 8 publications

References 20 publications

Analysis of User Personalized Retrieval of Multimedia Digital Archives Dependent on BP Neural Network Algorithm

Analysis of User Personalized Retrieval of Multimedia Digital Archives Dependent on BP Neural Network Algorithm

Cache Replacement Strategy With Limited Service Capacity in Heterogeneous Networks

An Investigational Study and Analysis of Cloud-based Content Delivery Network: Perspectives

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