TY - JOUR
T1 - Constructing multicast routing tree for inter-cloud data transmission
T2 - An approximation algorithmic perspective
AU - Huang, Jun
AU - Li, Shihao
AU - Duan, Qiang
N1 - Funding Information:
Manuscript received January 30, 2016; accepted September 20, 2016. This work was supported by the National Natural Science Foundation of China (61309031). Recommended by Associate Editor Jiming Chen. (Corresponding author: Jun Huang.) Citation: J. Huang, S. H. Li, and Q. Duan, “Constructing multicast routing tree for inter-cloud data transmission: an approximation algorithmic perspective,” IEEE/CAA J. of Autom. Sinica, vol. 5, no. 2, pp. 514−522, Mar. 2018.
Publisher Copyright:
© 2014 Chinese Association of Automation.
PY - 2018/3
Y1 - 2018/3
N2 - Networking plays a crucial role in cloud computing especially in an inter-cloud environment, where data communications among data centers located at different geographical sites form the foundation of inter-cloud federation. Data transmissions required for inter-cloud federation in the complex inter-cloud networking system are often point-to-multi points, which calls for a more effective and efficient multicast routing algorithm in complex networking systems. In this paper, we investigate the multicast routing problem in the inter-cloud context with K constraints where K U+2265 2. Unlike most of existing algorithms that are too complex to be applied in practical scenarios, a novel and fast algorithm for establishing multicast routing tree for interclouds is proposed. The proposed algorithm leverages an entropybased process to aggregate all weights into a comprehensive metric, and then uses it to search a multicast tree U+0028 MT U+0029 on the basis of the shortest path tree U+0028 SPT U+0029.We conduct complexity analysis and extensive simulations for the proposed algorithm from the approximation perspective. Both analytical and experimental results demonstrate that the algorithm is more efficient than a representative multi-constrained multicast routing algorithm in terms of both speed and accuracy, and thus we believe that the proposed algorithm is applicable to the inter-cloud environment.
AB - Networking plays a crucial role in cloud computing especially in an inter-cloud environment, where data communications among data centers located at different geographical sites form the foundation of inter-cloud federation. Data transmissions required for inter-cloud federation in the complex inter-cloud networking system are often point-to-multi points, which calls for a more effective and efficient multicast routing algorithm in complex networking systems. In this paper, we investigate the multicast routing problem in the inter-cloud context with K constraints where K U+2265 2. Unlike most of existing algorithms that are too complex to be applied in practical scenarios, a novel and fast algorithm for establishing multicast routing tree for interclouds is proposed. The proposed algorithm leverages an entropybased process to aggregate all weights into a comprehensive metric, and then uses it to search a multicast tree U+0028 MT U+0029 on the basis of the shortest path tree U+0028 SPT U+0029.We conduct complexity analysis and extensive simulations for the proposed algorithm from the approximation perspective. Both analytical and experimental results demonstrate that the algorithm is more efficient than a representative multi-constrained multicast routing algorithm in terms of both speed and accuracy, and thus we believe that the proposed algorithm is applicable to the inter-cloud environment.
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U2 - 10.1109/JAS.2017.7510460
DO - 10.1109/JAS.2017.7510460
M3 - Article
AN - SCOPUS:85041930448
SN - 2329-9266
VL - 5
SP - 514
EP - 522
JO - IEEE/CAA Journal of Automatica Sinica
JF - IEEE/CAA Journal of Automatica Sinica
IS - 2
M1 - 7875279
ER -