Name
Abstract | ||
|---|---|---|
Software Defined Network (SDN) is facilitating rapid innovation of network by providing a programmable network infrastructure. However, managing SDN flow rules, especially among multiple modules and administrators, has become complex and error-prone. Different controller modules with diverse objectives may be installed on the SDN controller, which can lead to anomalies among policies and rules. In this paper, we propose ADRS(Anomaly Detecting and Resolving for SDN) to solve this problem. Firstly, we analyse the rule-level anomalies that may occur in SDN based on OpenFlow protocol. Then we present an interval tree model for rapid rule scanning and a share model for network privilege allocating. By applying these models, we provide an automatic algorithm to detect and resolve the anomalies among SDN modules. Moreover, a rulerecovery mechanism is presented to avoid modification faults. We also implement and evaluate our system in the OpenDayLight controller. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/GLOCOM.2015.7417386 | IEEE Global Communications Conference |
Field | DocType | ISSN |
Control theory,Algorithm design,Computer science,Computer network,Real-time computing,Software,Redundancy (engineering),OpenFlow,Software-defined networking,Semantics,Interval tree,Distributed computing | Conference | 2334-0983 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengzhan Wang | 1 | 28 | 5.53 |
| Liusheng Huang | 2 | 1082 | 123.52 |
| Hongli Xu | 3 | 502 | 85.92 |
| Bing Leng | 4 | 18 | 5.21 |
| Hansong Guo | 5 | 14 | 3.39 |