scholarly journals Network monitoring in multicast networks using network coding

Author(s):  
T. Ho ◽  
B. Leong ◽  
Yu-Han Chang ◽  
Yonggang Wen ◽  
R. Koetter
2011 ◽  
Vol 19 (1) ◽  
pp. 265-274 ◽  
Author(s):  
Yuanzhe Xuan ◽  
Chin-Tau Lea

2020 ◽  
Vol 12 (2) ◽  
pp. 20 ◽  
Author(s):  
Grigorios Kakkavas ◽  
Despoina Gkatzioura ◽  
Vasileios Karyotis ◽  
Symeon Papavassiliou

Network tomography has emerged as one of the lean approaches for efficient network monitoring, especially aiming at addressing the ever-increasing requirements for scaling and efficiency in modern network architectures and infrastructures. In this paper, we explore network coding and compressed sensing as enabling technologies in the context of network tomography. Both approaches capitalize on algebraic tools for achieving accuracy while allowing scaling of operation as the size of the monitored network increases. Initially, a brief overview of the tomographic problems and the related classification of methods is provided to better comprehend the problems encountered and solutions provided to date. Subsequently, we present representative approaches that employ either one of the aforementioned technologies and we comparatively describe their fundamental operation. Eventually, we provide a qualitative comparison of features and approaches that can be used for further research and technology development for network monitoring in future Internet infrastructures.


2008 ◽  
Vol 54 (6) ◽  
pp. 2798-2803 ◽  
Author(s):  
Tracey Ho ◽  
Ben Leong ◽  
Ralf Koetter ◽  
Muriel Medard ◽  
Michelle Effros ◽  
...  

2010 ◽  
Vol 2010 ◽  
pp. 1-11
Author(s):  
Qin Guo ◽  
Mingxing Luo ◽  
Lixiang Li ◽  
Yixian Yang

From the perspectives of graph theory and combinatorics theory we obtain some new upper bounds on the number of encoding nodes, which can characterize the coding complexity of the network coding, both in feasible acyclic and cyclic multicast networks. In contrast to previous work, during our analysis we first investigate the simple multicast network with source rateh=2, and thenh≥2. We find that for feasible acyclic multicast networks our upper bound is exactly the lower bound given by M. Langberg et al. in 2006. So the gap between their lower and upper bounds for feasible acyclic multicast networks does not exist. Based on the new upper bound, we improve the computational complexity given by M. Langberg et al. in 2009. Moreover, these results further support the feasibility of signatures for network coding.


2018 ◽  
Vol 66 (4) ◽  
pp. 1520-1533 ◽  
Author(s):  
Bin Li ◽  
Xiaoping Li ◽  
Ruonan Zhang ◽  
Wanbin Tang ◽  
Shaoqian Li

2008 ◽  
Vol 19 (5) ◽  
pp. 627-640 ◽  
Author(s):  
Kaikai Chi ◽  
Xiaohong Jiang ◽  
Susumu Horiguchi ◽  
Minyi Guo

Author(s):  
S.Y. el Rouayheb ◽  
C.N. Georghiades ◽  
A. Sprintson

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