PCCP: Proactive Video Chunks Caching and Processing in edge networks

Baccour, Emna; Erbad, Aiman; Bilal, Kashif; Mohamed, Amr; Guizani, Mohsen

doi:10.1016/j.future.2019.11.006

Cited by 35 publications

(18 citation statements)

References 25 publications

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“…Caching in cellular networks also achieves remarkable performance gain [39]. In a wireless cellular network, the cache storage can be placed either at the evolved packet core or at the access network [30], [39]. Caching units can also be placed at the subscribers' devices [79].…”

Section: A Cache Storage Placementmentioning

confidence: 99%

“…Generally, static popularity is modeled using an independent Poisson process according to power law [91]. In a number of studies [30], [88], [92], the popularity of video content is modeled as a Zipf distribution, characterized by a number of content objects and the skewness parameter.…”

Section: B Popular Content Selectionmentioning

confidence: 99%

“…To ensure standard QoE, video streaming services aim to achieve low latency and high data [30], [73], [222]. For these services, edge caching has shown significant potential in maintaining expected QoE.…”

Section: A Video Streaming Servicesmentioning

confidence: 99%

“…According to recent studies [11], [24], [29], a very small portion of the content objects makes up the major portion of overall Internet traffic. In addition, a common feature of both the aforementioned data types is that users repeatedly requests for them [22], [26], [30]. However, these data are not suitable for broadcasting as requests are generated in an asynchronous manner [11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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In recent years, the ever-increasing demand for networking resources and energy, fueled by the unprecedented upsurge in Internet traffic, has been a cause for concern for many service providers. Content caching, which serves user requests locally, is deemed to be an enabling technology in addressing the challenges offered by the phenomenal growth in Internet traffic. Conventionally, content caching is considered as a viable solution to alleviate the backhaul pressure. However, recently, many studies have reported energy cost reductions contributed by content caching in cache-equipped networks. The hypothesis is that caching shortens content delivery distance and eventually achieves significant reduction in transmission energy consumption. This has motivated us to conduct this study and in this article, a comprehensive survey of the state-of-the-art green caching techniques is provided. This review paper extensively discusses contributions of the existing studies on green caching. In addition, the study explores different cache-equipped network types, solution methods, and application scenarios. We categorically present that the optimal selection of the caching nodes, smart resource management, popular content selection, and renewable energy integration can substantially improve energy efficiency of the cache-equipped systems. In addition, based on the comprehensive analysis, we also highlight some potential research ideas relevant to green content caching.

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Section: A Cache Storage Placementmentioning

confidence: 99%

Section: B Popular Content Selectionmentioning

confidence: 99%

Section: A Video Streaming Servicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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“…A joint caching and processing framework for video ondemand in MEC networks has been proposed in [27], [28]. MEC servers collaborate to cache and transcode different chunks of one video content, in order to use the backhaul and storage resources more efficiently and reduce the content delivery delay.…”

Section: Related Workmentioning

confidence: 99%

A New Framework for Mobile Edge Caching by Proposing Flexible User in Heterogeneous Cellular Networks

2020

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The bursting increase in requesting wireless data has caused several issues in network peaktraffic duration. This negatively results in significant data delivery delay imposed on users that can eventually impact the network's quality of service and users' quality of experience. In this research, regarding mobile edge caching as a potential solution to decrease such delay, we propose a new framework in which we introduce the concept of the flexible user where he requests for a set of multiple files from the library with a unique feature, e.g., 5 movies within comedy genre from the library in the peak-traffic duration. The satisfactory criterion for the flexible user is to receive any of the files within the requested set. This definition of the flexible user indicates a new concept which captures interesting scenarios. In order to model this concept, we generalize the conventional Zipf distribution to a multivariate one as the modeling method for popular data. We formulate the problem of finding the optimal cache data placement, which minimizes the average total delivery delay in the network while satisfying the helpers' cache size constraints. To this end, we derive the average delivery delay per user as well as the average total delivery delay in the network, according to the new generalized Zipf distribution. Finding the optimal solution is proved to be NP-Hard. We leverage on the problem property to propose an efficient approximation method, called greedy algorithm, which performs within a constant factor as good as the optimal solution. Afterwards, we propose an algorithm called speedy-greedy to significantly reduce the computational complexity of the greedy algorithm while achieving the same performance. Simulation results indicate that our proposed framework significantly decreases the average total delivery delay of the system model that can help the network maintain its quality of service in network peak-traffic duration. INDEX TERMS Mobile edge caching, data delivery and management, delivery delay, femto-caching.

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Cloud media video encoding: review and challenges

Moina-Rivera,

Garcia-Pineda,

Gutiérrez-Aguado

et al. 2024

Multimed Tools Appl

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In recent years, Internet traffic patterns have been changing. Most of the traffic demand by end users is multimedia, in particular, video streaming accounts for over 53%. This demand has led to improved network infrastructures and computing architectures to meet the challenges of delivering these multimedia services while maintaining an adequate quality of experience. Focusing on the preparation and adequacy of multimedia content for broadcasting, Cloud and Edge Computing infrastructures have been and will be crucial to offer high and ultra-high definition multimedia content in live, real-time, or video-on-demand scenarios. For these reasons, this review paper presents a detailed study of research papers related to encoding and transcoding techniques in cloud computing environments. It begins by discussing the evolution of streaming and the importance of the encoding process, with a focus on the latest streaming methods and codecs. Then, it examines the role of cloud systems in multimedia environments and provides details on the cloud infrastructure for media scenarios. After doing a systematic literature review, we have been able to find 49 valid papers that meet the requirements specified in the research questions. Each paper has been analyzed and classified according to several criteria, besides to inspect their relevance. To conclude this review, we have identified and elaborated on several challenges and open research issues associated with the development of video codecs optimized for diverse factors within both cloud and edge architectures. Additionally, we have discussed emerging challenges in designing new cloud/edge architectures aimed at more efficient delivery of media traffic. This involves investigating ways to improve the overall performance, reliability, and resource utilization of architectures that support the transmission of multimedia content over both cloud and edge computing environments ensuring a good quality of experience for the final user.

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PCCP: Proactive Video Chunks Caching and Processing in edge networks

Cited by 35 publications

References 25 publications

A Review on Green Caching Strategies for Next Generation Communication Networks

A Review on Green Caching Strategies for Next Generation Communication Networks

A New Framework for Mobile Edge Caching by Proposing Flexible User in Heterogeneous Cellular Networks

Cloud media video encoding: review and challenges

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