Earticle

초록

영어

Tree depth and load balancing are two main metrics in overlay multicast network.
Optimizing the two metrics with lightweight overhead is important for live media streaming.
This paper proposes one scheme to construct optimized overlay multicast with short tree
depth and load balancing via short random walk. The key idea is the preferential random
walk based on fitness function in which the tree depth and load balancing metrics are defined
as parameters with weighted coefficients. Simulations and experiments show that the fitness
function is valid and optimized overlay network could be constructed via preferential random
walk. We also find the local and global optimized results occur at some middle value of
coefficient between 0 and 1, which is not consist with our intuitions that optimized result with
single metric should occur at the boundary of coefficient(0 or 1.0).

목차

Abstract
 1. Introduction
 2. Related works
 3. Protocol description
  3.1 Simple random walk and preferential random walk
  3 2 Construction of overlay multicast network
 4. Metrics
  5. Simulations and analysis
  5.1. Node’s initial c(x) distribution of reciprocal law and power-law
  5.2. Performance comparison in case of α= 1 and α = 0
  5.3. Join sequencing
  5.4. The effect of α on δ(rld) and 
 6. Conclusions
 7. References

저자

• Xuan Zhang [ Network Research Center, Tsinghua University, Beijing, China,100084 ]
• Xing Li [ Network Research Center, Tsinghua University, Beijing, China,100084 ]
• Chongrong Li [ Network Research Center, Tsinghua University, Beijing, China,100084 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605