DocumentCode :
3600024
Title :
Data Center Multicast with High Stability
Author :
Ye Shen ; Jing Feng ; Zhanfeng Wang ; Weijun Ma ; Min Yin ; Lei Jiang
Author_Institution :
Inst. of Meteorol. & Oceanogr., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2014
Firstpage :
168
Lastpage :
173
Abstract :
Multicast benefits data center group communication in both saving network traffic and improving application throughput. The SLA (Service Level Agreement) of cloud service requires the computation correctness of distributed applications, translating to the requirement of reliable Multicast delivery. In this paper we present INICE, a high stable Multicast approach for data center network. The key idea of INICE is to minimize the impact of end host instability on the Multicast performance, by computing the link weight with node stability. A Multicast tree-aware backup overlay is purposely built on hierarchical clustering of stable nodes. INICE proposes feasible and highly efficient node clustering algorithm, and guarantees the out-degree of node being a constant. The backup overlay multicast tree is organized in such a way that it causes little multicast tree rebuilding. We extensively evaluate the INICE algorithm by theoretical analysis and experiments.
Keywords :
computer centres; computer networks; multicast protocols; overlay networks; pattern clustering; INICE algorithm; data center multicast; data center network; end host instability; hierarchical clustering; multicast protocol; multicast tree rebuilding; multicast tree-aware backup overlay; node clustering algorithm; node stability; Clustering algorithms; Network topology; Partitioning algorithms; Peer-to-peer computing; Stability analysis; Throughput; Topology; data center multicast; hierarchical arrangement; node clustering; node stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Cloud and Big Data (CBD), 2014 Second International Conference on
Print_ISBN :
978-1-4799-8086-4
Type :
conf
DOI :
10.1109/CBD.2014.28
Filename :
7176088
Link To Document :
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