Large Scale Content Delivery Efficiency of Information Centric Core-edge Separation Internet

Author(s):  
Jia Chen ◽  
Hongke Zhang
Author(s):  
Zheng Yi ◽  
Yang Yansong ◽  
Huang Yan ◽  
Chen Changjia ◽  
Huang Dan

2015 ◽  
Vol 11 (7) ◽  
pp. 29
Author(s):  
Ji-chun Zhao ◽  
Shi-hong Liu ◽  
Jun-feng Zhang

The paper proposed the research on rural online distance education (RODE) based on the Beijing rural network condition, which aimed at helping farmers to get agricultural technology more effectively and sufficiently. This is the first platform that was applied to large-scale rural distance education, which combined with peer to peer (P2P) and content delivery network (CDN). What’s more, it initiates network video transmission into the RODE platform, which could save 80% of the bandwidth. In addition, MD5 encryption algorithm, content pre-reading technology and data logic chip technology were used to ensure the security of video data. It has the following advantages: easily deployed, highly scalable and low-cost.


2006 ◽  
Vol 22 (8) ◽  
pp. 1018-1024 ◽  
Author(s):  
Miroslaw Czyrnek ◽  
Ewa Kusmierek ◽  
Cezary Mazurek ◽  
Maciej Stroinski

2014 ◽  
Vol 8 (3) ◽  
pp. 493-500 ◽  
Author(s):  
Dan Huang ◽  
Min Zhang ◽  
Yi Zheng ◽  
Changjia Chen ◽  
Yan Huang

2014 ◽  
Vol 11 (14) ◽  
pp. 118-127
Author(s):  
Yi Zheng ◽  
Dan Huang ◽  
Yansong Yang ◽  
Yan Huang ◽  
Changjia Chen

Author(s):  
Prabir Bhattacharya ◽  
Minzhe Guo

Content delivery is a key technology on the Internet to achieve large scale, low-latency, reliable, and intelligent data delivery. Replica placement (RP) is a key machinery in content delivery systems to achieve efficient and effective content delivery. This work proposes a novel decentralized algorithm for the replica placement in peer-assisted content delivery networks with simultaneous considerations for peer incentives. By applying techniques from the algorithmic mechanism design theory, the authors show the incentive compatibility of the proposed algorithm. Experiments were conducted to validate the properties of the proposed method and comparisons were made with the state-of-the-art RP algorithms.


2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Kazutoyo Yamada ◽  
Masato Furukawa ◽  
Yuki Tamura ◽  
Seishiro Saito ◽  
Akinori Matsuoka ◽  
...  

This paper describes the flow mechanisms of rotating stall inception in a multistage axial flow compressor of an actual gas turbine. Large-scale numerical simulations of the unsteady have been conducted. The compressor investigated is a test rig compressor that was used in the development of the Kawasaki L30A industrial gas turbine. While the compressor consists of a total of 14 stages, only the front stages of the compressor were analyzed in the present study. The test data show that the fifth or sixth stages of the machine are most likely the ones leading to stall. To model the precise flow physics leading to stall inception, the flow was modeled using a very dense computational mesh, with several million cells in each passage. A total of 2 × 109 cells were used for the first seven stages (3 × 108 cells in each stage). Since the mesh was still not fine enough for large-eddy simulation (LES), a detached-eddy simulation (DES) was used. Using DES, a flow field is calculated using LES except in the near-wall where the turbulent eddies are modeled by Reynolds-averaged Navier–Stokes. The computational resources required for such large-scale simulations were still quite large, so the computations were conducted on the K computer (RIKEN AICS in Japan). Unsteady flow phenomena at the stall inception were analyzed using data mining techniques such as vortex identification and limiting streamline drawing with line integral convolution (LIC) techniques. In the compressor studied, stall started from a separation on the hub side rather than the commonly observed leading-edge separation near the tip. The flow phenomenon first observed in the stalling process is the hub corner separation, which appears in a passage of the sixth stator when approaching the stall point. This hub corner separation grows with time, and eventually leads to a leading-edge separation on the hub side of the stator. Once the leading-edge separation occurs, it rapidly develops into a rotating stall, causing another leading-edge separation of the neighboring blade. Finally, the rotating stall spreads to the upstream and downstream blade rows due to its large blockage effect.


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