scholarly journals Frequent Items Mining Algorithm Over High Speed Network Flows Based on Double Hash Method

Author(s):  
Lei Bai ◽  
Chao Chen
2015 ◽  
Vol 713-715 ◽  
pp. 2503-2506
Author(s):  
Lei Bai ◽  
Chao Chen

It is very important in developing effective and efficient traffic engineering schemes for identifying large flows. In this paper, according to the characteristic of network flows, a new algorithm which combined by scalable bloom filter and dynamic bloom filter is proposed to realize elephant flows identification. This method can improve the performance of network measurement and the efficiency of the resource usage of measurement system by handling flows with different strategy according to its different feature. The theoretical analysis and the simulation result indicate that under the condition of existing some tolerable measurement error about the length of flows, our algorithm can identify elephant flows accurately, which reduce the storage space and improve the processing speed efficiently.


Queue ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 77-93
Author(s):  
Niklas Blum ◽  
Serge Lachapelle ◽  
Harald Alvestrand

In this time of pandemic, the world has turned to Internet-based, RTC (realtime communication) as never before. The number of RTC products has, over the past decade, exploded in large part because of cheaper high-speed network access and more powerful devices, but also because of an open, royalty-free platform called WebRTC. WebRTC is growing from enabling useful experiences to being essential in allowing billions to continue their work and education, and keep vital human contact during a pandemic. The opportunities and impact that lie ahead for WebRTC are intriguing indeed.


1999 ◽  
Author(s):  
Yutaka Ando ◽  
Masayuki Kitamura ◽  
Nobuhiro Tsukamoto ◽  
Osamu Kawaguchi ◽  
Etsuo Kunieda ◽  
...  

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