DocumentCode :
3580503
Title :
Improving Data Center Multicast with In-Packet Lightweight Bloom Filter
Author :
Wei Zhao ; Dafang Zhang ; Jie Zhang
Author_Institution :
Coll. of Comput. Sci. & Electron. Eng., Hunan Univ. Changsha, Changsha, China
fYear :
2014
Firstpage :
304
Lastpage :
308
Abstract :
IP Multicast benefits data center networks (DCNs) for saving bandwidth and improving throughput. In-packet Bloom filter (BF) has been recently proposed to achieve efficient and scalable multicast in DCNs, where a Bloom filter encodes all nodes in a multicast tree into the packet header for making routing decisions. However, prior work incurs large traffic overhead due to tree encoding and false positive forwarding. In this paper, we propose an improved data center multicast scheme called in-packet lightweight Bloom filter (LBF) for significantly reducing traffic overhead. The basic idea behind LBF is to encode the switches of a multicast tree into the Bloom filter carried in the packet header, which facilitates decreasing the tree encoding length and false positive rate. Each forwarding switch examines the in-packet LBF for multicast packet forwarding, while each edge switch in the tree uses a hash table lookup for forwarding packets to the receivers on the servers. Simulations and experiments on Click prototype show that in-packet LBF reduces the traffic leakage ratio by up to 39.3% as well as the tree encoding length by 38.8%, and improves the packet forwarding rate by up to 98.7% compared to in-packet BF.
Keywords :
IP networks; computer centres; multicast communication; table lookup; telecommunication network routing; telecommunication traffic; tree data structures; trees (mathematics); DCN; IP multicast; data center multicast scheme; data center network; edge switch; false positive forwarding; false positive rate; hash table lookup; in-packet LBF; in-packet lightweight bloom filter; multicast packet forwarding; multicast tree; packet header; routing decision; scalable multicast; traffic leakage ratio; traffic overhead; tree encoding length; Distributed databases; Encoding; Information filters; Ports (Computers); Receivers; Servers; data center network; in-packet Bloom filter; multicast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
Type :
conf
DOI :
10.1109/CICN.2014.75
Filename :
7065494
Link To Document :
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