A congestion-aware and robust multicast protocol in SDN-based data center networks

被引:11
|
作者
Zhu, Tingwei [1 ]
Feng, Dan [1 ]
Wang, Fang [1 ]
Hua, Yu [1 ]
Shi, Qingyu [1 ]
Xie, Yanwen [1 ]
Wan, Yong [2 ]
机构
[1] Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Key Lab Informat Storage Syst, Sch Comp Sci & Technol,Minist Educ China, Wuhan, Hubei, Peoples R China
[2] Jingchu Univ Technol, Comp Engn Coll, Jingmen, Peoples R China
关键词
Reliable multicast protocol; Software-defined networking; Data center networks; Distributed file systems; Data replication; TCP;
D O I
10.1016/j.jnca.2017.07.013
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Continuously enriched distributed systems in data centers generate much network traffic in push-style one-to many group mode, raising new requirements for multicast transport in terms of efficiency and robustness. Existing reliable multicast solutions, which suffer from low robustness and inefficiency in either host-side protocols or multicast routing, are not suitable for data centers. In order to address the problems of inefficiency and low robustness, we present a sender-initiated, efficient, congestion-aware and robust reliable multicast solution mainly for small groups in SDN-based data centers, called MCTCP. The main idea behind MCTCP is to manage the multicast groups in a centralized manner, and reactively schedule multicast flows to active and low utilized links, by extending TCP as the host-side protocol and managing multicast groups in the SDN-controller. The multicast spanning trees are calculated and adjusted according to the network status to perform a better allocation of resources. Our experiments show that, MCTCP can dynamically bypass the congested and failing links, achieving high efficiency and robustness. As a result, MCTCP outperforms the state-of-the-art reliable multicast schemes. Moreover, MCTCP improves the performance of data replication in HDFS (Hadoop Distributed File System) compared with the original and TCP-SMO (an alternative reliable multicast scheme) based ones, e.g., achieves up to 1.5x and 1.1x improvements in terms of throughput, respectively.
引用
收藏
页码:105 / 117
页数:13
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