Accurate Online Detection of Bidimensional Hierarchical Heavy Hitters in Software-Defined Networks

被引：0

作者：

da Ctuz, Mario A. ^{[1
]}

Castro e Silva, Lafaiet ^{[1
]}

Correa, Sand ^{[1
]}

Cardoso, Kleber V. ^{[1
]}

机构：

[1] Univ Fed Goias, INF, Goiania, Go, Brazil

来源：

2013 IEEE LATIN-AMERICA CONFERENCE ON COMMUNICATIONS (LATINCOM) | 2013年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Software-defined networking (SDN) offers many opportunities to redesign architectures, protocols, and applications. However, SDN also demands revisiting traditional solutions in order to cope with new devices, such as the OpenFlow switches. Online detection of Hierarchical Heavy Hitters (HHHs) is an example, since traditional approaches are based on IP headers which are not always available in an efficient manner. In this paper we present a mechanism for online detection of bidimensional HHHs in networks based on OpenFlow switches. We evaluated our proposal in a emulator largely employed for rapid prototyping of SDN and we used both synthetic and real traces. Results show that our proposal has high accuracy in online detecting bidimensional HHHs based on source and destination IP addresses.

引用

页数：6

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