Hybrid CDN-P2P architecture: Replica content Placement Algorithms

Khalaji, Fatemeh Keymasi; Analoui, Morteza

doi:10.1109/ikt.2013.6620029

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Nevertheless, any replication algorithm is insufficient due to the high transient nature of wireless and mobile devices. Khalaji and Analoui 27 constructed a novel real‐time streaming scheme in which a new hybrid CDN‐P2P strategy established buffers in CDN servers and P2P networks. Due to the dramatic increase in mobile multimedia data, the user experience has plummeted.…”

Section: Related Workmentioning

confidence: 99%

A new replica placement mechanism for mobile media streaming in edge computing

Tang

Wang

Guo

et al. 2019

Concurrency and Computation

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Summary With the advent of the Internet of things era, cloud computing platforms will face the challenges of massive equipment requirements for access, massive data, insufficient bandwidth, and high power consumption. Edge computing, as a new technology, makes it possible to stream media over the edge network. However, many problems related to file sharing among edge nodes and to the files provided by cloud servers exist. We propose a novel replica placement strategy for mobile media streaming in edge computing (RPME) to address the aforementioned problem. First, we introduce a multilevel replica placement model in the RPME. In the RPME, we acquire the user information and the user‐item rating matrix when the user requests the media data. At the server, we cluster the users according the user information, update the user‐item rating matrix, and then generate a replica recommendation sequence. For when the server submits the replica recommendation sequence to the edge node considering the constraints of the edge node storage capacity and the limitations on the service capacity of the requested replica, we propose an effective replica placement mechanism in the RPME. To show the benefits of the RPME, we also present several experiments to prove its validity.

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Section: Related Workmentioning

confidence: 99%

A new replica placement mechanism for mobile media streaming in edge computing

Tang

Wang

Guo

et al. 2019

Concurrency and Computation

View full text Add to dashboard Cite

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“…The study outcome has been found to minimize cost of transport and storage of data. Mathematical approach of Lagrangian relaxation has been adopted by Khalaji and Analoui [22] for the sole purpose of minimizing the complexity issues associated with content placement problems to show the outcome with optimal cost effectiveness. Usage of dynamic programming-based approach for solving similar problem was discussed by Chen and Chen [23] with the study outcome to exhibit low complexity.…”

Section: A Efficient Content Placementmentioning

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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Hybrid CDN-P2P architecture: Replica content Placement Algorithms

Cited by 2 publications

References 12 publications

A new replica placement mechanism for mobile media streaming in edge computing

A new replica placement mechanism for mobile media streaming in edge computing

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

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